Index

_

_doc_text (nlp_architect.common.core_nlp_doc.CoreNLPDoc attribute)

_sentences (nlp_architect.common.core_nlp_doc.CoreNLPDoc attribute)

A

AbsaModel (class in nlp_architect.models.pretrained_models) AbstractApi (class in nlp_architect.api.abstract_api), [1] acc_and_f1() (in module nlp_architect.utils.metrics) accuracy() (in module nlp_architect.utils.metrics) acquire_lexicons() (nlp_architect.models.absa.train.acquire_terms.AcquireTerms method) acquired_aspect_terms_path (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) acquired_opinion_terms_path (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) AcquireTerms (class in nlp_architect.models.absa.train.acquire_terms) add() (nlp_architect.utils.text.Vocabulary method) add_args() (nlp_architect.nn.torch.distillation.TeacherStudentDistill static method), [1] add_arguments() (nlp_architect.procedures.procedure.Procedure static method) (nlp_architect.procedures.token_tagging.RunTagger static method) (nlp_architect.procedures.token_tagging.TrainTagger static method) (nlp_architect.procedures.token_tagging.TrainTaggerKD static method) (nlp_architect.procedures.token_tagging.TrainTaggerKDPseudo static method) (nlp_architect.procedures.transformers.glue.TransformerGlueRun static method) (nlp_architect.procedures.transformers.glue.TransformerGlueTrain static method) (nlp_architect.procedures.transformers.seq_tag.TransformerTokenClsRun static method) (nlp_architect.procedures.transformers.seq_tag.TransformerTokenClsTrain static method) add_cluster() (nlp_architect.common.cdc.cluster.Clusters method) add_clusters() (nlp_architect.common.cdc.cluster.Clusters method) add_glue_args() (in module nlp_architect.procedures.transformers.glue) add_glue_inference_args() (in module nlp_architect.procedures.transformers.glue) add_mention() (nlp_architect.common.cdc.cluster.Cluster method) add_offset() (in module nlp_architect.utils.generic) add_page() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages.WikipediaPages method)

add_parse_args() (in module nlp_architect.procedures.token_tagging) add_vocab_offset() (nlp_architect.utils.text.Vocabulary method) add_word() (nlp_architect.data.ptb.PTBDictionary method) ADJ (nlp_architect.models.absa.train.data_types.POS attribute) ADV (nlp_architect.models.absa.train.data_types.POS attribute) all_clean_words_synonyms() (nlp_architect.data.cdc_resources.wordnet.wordnet_online.WordnetOnline static method) ansi2html() (in module nlp_architect.utils.ansi2html) apply_get_from_cache() (nlp_architect.data.cdc_resources.embedding.embed_elmo.ElmoEmbedding method) apply_procrustes() (nlp_architect.models.crossling_emb.WordTranslator method) arrange_resource() (nlp_architect.data.cdc_resources.relations.within_doc_coref_extraction.WithinDocCoref static method) as_string_list() (nlp_architect.models.absa.train.data_types.QualifiedTerm method) as_string_list_aspect() (nlp_architect.models.absa.train.data_types.QualifiedTerm method) as_string_list_aspect_debug() (nlp_architect.models.absa.train.data_types.QualifiedTerm method) ASPECT (nlp_architect.models.absa.inference.data_types.TermType attribute) aspect_candidate_list (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) aspect_candidate_list_curr_iter (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) aspect_candidate_list_raw (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) aspect_candidates_list_final (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) aspect_lex (nlp_architect.models.absa.inference.inference.SentimentInference attribute) ASPECT_STOP_LIST (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) aspects_candidate_list_prev_iter (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) AspectTerm (class in nlp_architect.models.absa.train.data_types) ATTRIBUTES (nlp_architect.common.config.Config attribute) (nlp_architect.nn.torch.quantization.QuantizationConfig attribute) AUX (nlp_architect.models.absa.train.data_types.POS attribute) AUX_PAST (nlp_architect.models.absa.train.data_types.POS attribute) AUXILIARIES_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute)

B

backward() (nlp_architect.nn.torch.quantization.FakeLinearQuantizationWithSTE static method) balance() (in module nlp_architect.utils.generic) base_model_prefix (nlp_architect.models.transformers.quantized_bert.QuantizedBertPreTrainedModel attribute) (nlp_architect.models.transformers.token_classification.RobertaForTokenClassificationHead attribute) batch_mapper() (nlp_architect.models.tagging.NeuralTagger static method) BertTokenClassificationHead (class in nlp_architect.models.transformers.token_classification) bio_to_spans() (in module nlp_architect.utils.text) BISTModel (class in nlp_architect.models.bist_parser) BistModel (class in nlp_architect.models.pretrained_models) BistParserApi (class in nlp_architect.api.bist_parser_api), [1] brat_doc() (nlp_architect.common.core_nlp_doc.CoreNLPDoc method)

build() (nlp_architect.models.chunker.SequenceTagger method) (nlp_architect.models.intent_extraction.MultiTaskIntentModel method) (nlp_architect.models.intent_extraction.Seq2SeqIntentModel method) (nlp_architect.models.most_common_word_sense.MostCommonWordSense method) (nlp_architect.models.ner_crf.NERCRF method) (nlp_architect.models.np_semantic_segmentation.NpSemanticSegClassifier method) (nlp_architect.models.temporal_convolutional_network.WeightNorm method) (nlp_architect.nn.tensorflow.python.keras.layers.crf.CRF method) build_network_graph() (nlp_architect.models.temporal_convolutional_network.TCN method) build_train_graph() (nlp_architect.models.crossling_emb.Discriminator method) (nlp_architect.models.crossling_emb.Generator method) (nlp_architect.models.temporal_convolutional_network.TCN method)

C

cached_path() (in module nlp_architect.utils.file_cache) calc_cosine_similarity() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) calc_max_quant_value() (in module nlp_architect.nn.torch.quantization) calc_similarity_scores_for_all_terms() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) calculate_receptive_field() (nlp_architect.models.temporal_convolutional_network.TCN method) call() (nlp_architect.models.temporal_convolutional_network.WeightNorm method) (nlp_architect.nn.tensorflow.python.keras.layers.crf.CRF method) CandidateTerm (class in nlp_architect.models.absa.train.data_types) char_to_id() (in module nlp_architect.utils.text) char_vocab (nlp_architect.data.intent_datasets.IntentDataset attribute) (nlp_architect.data.sequential_tagging.CONLL2000 attribute) (nlp_architect.data.sequential_tagging.SequentialTaggingDataset attribute) char_vocab_size (nlp_architect.data.intent_datasets.IntentDataset attribute) (nlp_architect.data.sequential_tagging.SequentialTaggingDataset attribute) character_vector_generator() (in module nlp_architect.utils.text) check() (in module nlp_architect.utils.io) check_directory_and_create() (in module nlp_architect.utils.io) check_size() (in module nlp_architect.utils.io) check_valid() (nlp_architect.data.fasttext_emb.Dictionary method) chunk_vocab (nlp_architect.data.sequential_tagging.CONLL2000 attribute) ChunkerModel (class in nlp_architect.models.pretrained_models) classification_report() (in module nlp_architect.utils.metrics) clean_clusters() (nlp_architect.common.cdc.cluster.Clusters method) Cluster (class in nlp_architect.common.cdc.cluster) cluster_coref_chain (nlp_architect.common.cdc.cluster.Clusters attribute) Clusters (class in nlp_architect.common.cdc.cluster) CNNLSTM (class in nlp_architect.nn.torch.modules.embedders), [1], [2] ColaProcessor (class in nlp_architect.data.glue_tasks) COLORS_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) colors_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute)

CombinedTensorDataset (class in nlp_architect.nn.torch.data.dataset) CommonLayers (class in nlp_architect.models.temporal_convolutional_network) compute_output_shape() (nlp_architect.models.temporal_convolutional_network.WeightNorm method) (nlp_architect.nn.tensorflow.python.keras.layers.crf.CRF method) ComputedRelationExtraction (class in nlp_architect.data.cdc_resources.relations.computed_relation_extraction) concat_sim_scores_and_features() (nlp_architect.models.absa.train.rerank_terms.RerankTerms static method) ConcatTensorDataset (class in nlp_architect.nn.torch.data.dataset) Config (class in nlp_architect.common.config) CONFIG_ATTRIBUTES (nlp_architect.nn.torch.quantization.QuantizedLayer attribute) (nlp_architect.nn.torch.quantization.QuantizedLinear attribute) config_class (nlp_architect.models.transformers.quantized_bert.QuantizedBertPreTrainedModel attribute) (nlp_architect.models.transformers.token_classification.RobertaForTokenClassificationHead attribute) CONJ (nlp_architect.models.absa.train.data_types.POS attribute) CONLL2000 (class in nlp_architect.data.sequential_tagging) ConllCallback (class in nlp_architect.nn.tensorflow.python.keras.callbacks) ConllEntry (class in nlp_architect.data.conll) convert_examples_to_features() (in module nlp_architect.data.glue_tasks) convert_to_tensors() (nlp_architect.models.tagging.NeuralTagger method) (nlp_architect.models.TrainableModel method) (nlp_architect.models.transformers.sequence_classification.TransformerSequenceClassifier method) (nlp_architect.models.transformers.token_classification.TransformerTokenClassifier method) CoreNLPDoc (class in nlp_architect.common.core_nlp_doc) create_base_args() (in module nlp_architect.procedures.transformers.base) create_folder() (in module nlp_architect.utils.io) create_from_file() (nlp_architect.common.cdc.topics.Topics method) create_ment_id() (nlp_architect.data.cdc_resources.relations.within_doc_coref_extraction.WithinDocCoref static method) CRF (class in nlp_architect.nn.tensorflow.python.keras.layers.crf) (class in nlp_architect.nn.torch.layers.crf) cross_validation_training() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) csv_line_iterator() (in module nlp_architect.models.absa.utils)

D

DataProcessor (class in nlp_architect.data.utils) dataset_files (nlp_architect.data.sequential_tagging.CONLL2000 attribute) decode() (nlp_architect.nn.torch.layers.crf.CRF method) decode_line() (nlp_architect.data.ptb.PTBDataLoader method) decoder() (nlp_architect.common.core_nlp_doc.CoreNLPDoc static method) (nlp_architect.models.absa.inference.data_types.SentimentDoc static method) default() (nlp_architect.models.absa.inference.data_types.SentimentDocEncoder method) default_model (nlp_architect.api.base.ModelAPI attribute) define_input_layer() (nlp_architect.models.temporal_convolutional_network.CommonLayers method) define_projection_layer() (nlp_architect.models.temporal_convolutional_network.CommonLayers method) dep (nlp_architect.models.absa.train.data_types.DepRelation attribute) DepRelation (class in nlp_architect.models.absa.train.data_types) DepRelationTerm (class in nlp_architect.models.absa.train.data_types) dequantize() (in module nlp_architect.nn.torch.quantization) DET (nlp_architect.models.absa.train.data_types.POS attribute) determiners (nlp_architect.utils.string_utils.StringUtils attribute) DETERMINERS_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) determiners_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute) Dictionary (class in nlp_architect.data.fasttext_emb)

dir (nlp_architect.pipelines.spacy_bist.SpacyBISTParser attribute) Discriminator (class in nlp_architect.models.crossling_emb) displacy_doc() (nlp_architect.common.core_nlp_doc.CoreNLPDoc method) (nlp_architect.common.high_level_doc.HighLevelDoc method) display_results() (nlp_architect.api.intent_extraction_api.IntentExtractionApi static method) distill_loss() (nlp_architect.nn.torch.distillation.TeacherStudentDistill method), [1] distill_loss_dict() (nlp_architect.nn.torch.distillation.TeacherStudentDistill method), [1] do_inference() (in module nlp_architect.procedures.token_tagging) (in module nlp_architect.procedures.transformers.glue) (in module nlp_architect.procedures.transformers.seq_tag) do_kd_pseudo_training() (in module nlp_architect.procedures.token_tagging) do_kd_training() (in module nlp_architect.procedures.token_tagging) do_training() (in module nlp_architect.procedures.token_tagging) (in module nlp_architect.procedures.transformers.glue) (in module nlp_architect.procedures.transformers.seq_tag) doc_text (nlp_architect.common.core_nlp_doc.CoreNLPDoc attribute) (nlp_architect.models.absa.inference.data_types.SentimentDoc attribute) download_unlicensed_file() (in module nlp_architect.utils.io) download_unzip() (in module nlp_architect.utils.io) DYNAMIC (nlp_architect.nn.torch.quantization.QuantizationMode attribute)

E

ELASTIC (nlp_architect.data.cdc_resources.relations.relation_types_enums.WikipediaSearchMethod attribute) elastic_host (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) elastic_index (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) elastic_port (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) ELMO (nlp_architect.data.cdc_resources.relations.relation_types_enums.EmbeddingMethod attribute) elmo_dump() (in module nlp_architect.data.cdc_resources.gen_scripts.create_word_embed_elmo_dump) elmo_file (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) ELMO_OFFLINE (nlp_architect.data.cdc_resources.relations.relation_types_enums.EmbeddingMethod attribute) ELMoEmbedderTFHUB (class in nlp_architect.utils.embedding) ElmoEmbedding (class in nlp_architect.data.cdc_resources.embedding.embed_elmo) ElmoEmbeddingOffline (class in nlp_architect.data.cdc_resources.embedding.embed_elmo) EMA (nlp_architect.nn.torch.quantization.QuantizationMode attribute) embed_search_method (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) EmbeddingMethod (class in nlp_architect.data.cdc_resources.relations.relation_types_enums) end (nlp_architect.models.absa.inference.data_types.SentimentSentence attribute) end_of_chunk() (in module nlp_architect.utils.metrics) end_transitions (nlp_architect.nn.torch.layers.crf.CRF attribute) EntitySievesConfiguration (class in nlp_architect.models.cross_doc_coref.sieves_config) eval() (nlp_architect.models.most_common_word_sense.MostCommonWordSense method) (nlp_architect.models.np_semantic_segmentation.NpSemanticSegClassifier method) eval_output_dir (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) evaluate() (in module nlp_architect.models.bist.eval.conllu.conll17_ud_eval) (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) (nlp_architect.models.tagging.NeuralTagger method) evaluate_predictions() (nlp_architect.models.tagging.NeuralTagger method) (nlp_architect.models.transformers.base_model.TransformerBase method) (nlp_architect.models.transformers.sequence_classification.TransformerSequenceClassifier method) (nlp_architect.models.transformers.token_classification.TransformerTokenClassifier method) evaluate_wrapper() (in module nlp_architect.models.bist.eval.conllu.conll17_ud_eval) events (nlp_architect.models.absa.inference.data_types.SentimentSentence attribute) EventSievesConfiguration (class in nlp_architect.models.cross_doc_coref.sieves_config) EX (nlp_architect.models.absa.train.data_types.POS attribute) EXACT_STRING (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) expand_aspect() (in module nlp_architect.models.absa.train.rules) extra_repr() (nlp_architect.nn.torch.quantization.QuantizedLayer method) extract_aliases() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction static method) extract_all_relations() (nlp_architect.data.cdc_resources.relations.computed_relation_extraction.ComputedRelationExtraction method) (nlp_architect.data.cdc_resources.relations.referent_dict_relation_extraction.ReferentDictRelationExtraction method) (nlp_architect.data.cdc_resources.relations.verbocean_relation_extraction.VerboceanRelationExtraction method) (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction method) (nlp_architect.data.cdc_resources.relations.within_doc_coref_extraction.WithinDocCoref method) (nlp_architect.data.cdc_resources.relations.word_embedding_relation_extraction.WordEmbeddingRelationExtraction method) (nlp_architect.data.cdc_resources.relations.wordnet_relation_extraction.WordnetRelationExtraction method)

extract_be_a_index() (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline static method) extract_be_comp() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction static method) (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline method) extract_be_comp_relations() (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline method) extract_categories() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page_extracted_relations.WikipediaPageExtractedRelations static method) extract_category() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction static method) extract_derivation() (nlp_architect.data.cdc_resources.relations.wordnet_relation_extraction.WordnetRelationExtraction static method) extract_disambig() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction static method) extract_exact_string() (nlp_architect.data.cdc_resources.relations.computed_relation_extraction.ComputedRelationExtraction static method) extract_from_elastic_results() (nlp_architect.data.cdc_resources.wikipedia.wiki_elastic.WikiElastic static method) extract_fuzzy_fit() (nlp_architect.data.cdc_resources.relations.computed_relation_extraction.ComputedRelationExtraction static method) extract_fuzzy_head_fit() (nlp_architect.data.cdc_resources.relations.computed_relation_extraction.ComputedRelationExtraction static method) extract_json_values() (nlp_architect.data.cdc_resources.wikipedia.wiki_offline.WikiOffline static method) (nlp_architect.data.cdc_resources.wordnet.wordnet_offline.WordnetOffline static method) extract_labels() (nlp_architect.models.tagging.NeuralTagger method) (nlp_architect.models.transformers.token_classification.TransformerTokenClassifier static method) extract_links_and_parenthesis() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page_extracted_relations.WikipediaPageExtractedRelations static method) extract_nps() (in module nlp_architect.utils.text) extract_opinion_and_aspect_terms() (nlp_architect.models.absa.train.acquire_terms.AcquireTerms method) extract_parenthesis() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction static method) extract_partial_synset_match() (nlp_architect.data.cdc_resources.relations.wordnet_relation_extraction.WordnetRelationExtraction static method) extract_relation() (nlp_architect.data.cdc_resources.relations.relation_extraction.RelationExtraction method) extract_relations_from_text_v0() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page_extracted_relations.WikipediaPageExtractedRelations method) extract_same_head_lemma() (nlp_architect.data.cdc_resources.relations.computed_relation_extraction.ComputedRelationExtraction static method) extract_same_synset_entity() (nlp_architect.data.cdc_resources.relations.wordnet_relation_extraction.WordnetRelationExtraction static method) extract_sub_relations() (nlp_architect.data.cdc_resources.relations.computed_relation_extraction.ComputedRelationExtraction method) (nlp_architect.data.cdc_resources.relations.referent_dict_relation_extraction.ReferentDictRelationExtraction method) (nlp_architect.data.cdc_resources.relations.relation_extraction.RelationExtraction method) (nlp_architect.data.cdc_resources.relations.verbocean_relation_extraction.VerboceanRelationExtraction method) (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction method) (nlp_architect.data.cdc_resources.relations.within_doc_coref_extraction.WithinDocCoref method) (nlp_architect.data.cdc_resources.relations.word_embedding_relation_extraction.WordEmbeddingRelationExtraction method) (nlp_architect.data.cdc_resources.relations.wordnet_relation_extraction.WordnetRelationExtraction method) extract_synonyms_and_derivation() (nlp_architect.data.cdc_resources.wordnet.wordnet_online.WordnetOnline static method) extract_terms_from_doc() (nlp_architect.models.absa.train.acquire_terms.AcquireTerms method) extract_vocab() (in module nlp_architect.models.cross_doc_coref.system.cdc_utils) extract_within_coref() (nlp_architect.data.cdc_resources.relations.within_doc_coref_extraction.WithinDocCoref method)

F

f1() (in module nlp_architect.models.np_semantic_segmentation) fake_quantized_weight (nlp_architect.nn.torch.quantization.QuantizedLayer attribute) FakeLinearQuantizationWithSTE (class in nlp_architect.nn.torch.quantization) FastTextEmb (class in nlp_architect.data.fasttext_emb) FasttextEmbeddingsModel (class in nlp_architect.utils.embedding) filename_to_url() (in module nlp_architect.utils.file_cache) files (nlp_architect.data.intent_datasets.SNIPS attribute) (nlp_architect.data.intent_datasets.TabularIntentDataset attribute) (nlp_architect.models.pretrained_models.AbsaModel attribute) (nlp_architect.models.pretrained_models.BistModel attribute) (nlp_architect.models.pretrained_models.ChunkerModel attribute) (nlp_architect.models.pretrained_models.IntentModel attribute) (nlp_architect.models.pretrained_models.MrcModel attribute) (nlp_architect.models.pretrained_models.NerModel attribute) fill_embedding_mat() (in module nlp_architect.utils.embedding) FILTER_PATTERNS (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) find_correct_index() (in module nlp_architect.common.core_nlp_doc) find_head_lemma_pos_ner() (nlp_architect.utils.string_utils.StringUtils static method) find_in_line() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page_extracted_relations.WikipediaPageExtractedRelations static method) fit() (nlp_architect.models.bist_parser.BISTModel method) (nlp_architect.models.chunker.SequenceTagger method) (nlp_architect.models.intent_extraction.IntentExtractionModel method) (nlp_architect.models.most_common_word_sense.MostCommonWordSense method) (nlp_architect.models.ner_crf.NERCRF method) (nlp_architect.models.np_semantic_segmentation.NpSemanticSegClassifier method)

fix_gov_indexes() (in module nlp_architect.common.core_nlp_doc) FLOAT_FORMAT (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) forward() (nlp_architect.models.transformers.token_classification.BertTokenClassificationHead method) (nlp_architect.models.transformers.token_classification.QuantizedBertForTokenClassificationHead method) (nlp_architect.models.transformers.token_classification.RobertaForTokenClassificationHead method) (nlp_architect.models.transformers.token_classification.XLNetTokenClassificationHead method) (nlp_architect.nn.torch.layers.crf.CRF method) (nlp_architect.nn.torch.modules.embedders.CNNLSTM method) (nlp_architect.nn.torch.modules.embedders.IDCNN method) (nlp_architect.nn.torch.quantization.FakeLinearQuantizationWithSTE static method) (nlp_architect.nn.torch.quantization.QuantizedLayer method) frequency (nlp_architect.models.absa.train.data_types.QualifiedTerm attribute) from_config() (nlp_architect.nn.torch.modules.embedders.CNNLSTM class method) (nlp_architect.nn.torch.modules.embedders.IDCNN class method) (nlp_architect.nn.torch.quantization.QuantizedLayer class method) from_dict() (nlp_architect.common.config.Config class method) from_json_file() (nlp_architect.common.config.Config class method) from_pretrained() (nlp_architect.models.transformers.quantized_bert.QuantizedBertPreTrainedModel class method) from_spacy() (nlp_architect.common.core_nlp_doc.CoreNLPDoc static method) from_token() (nlp_architect.models.absa.train.data_types.AspectTerm static method) FUZZY_FIT (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) FUZZY_HEAD_FIT (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) FW (nlp_architect.models.absa.train.data_types.POS attribute)

G

gen_mention_id() (nlp_architect.common.cdc.mention_data.MentionData method) GENERAL_ADJECTIVES_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) general_adjectives_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute) generate_embbeding_features() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) generate_features() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) generate_final_aspect_candidates_list() (in module nlp_architect.models.absa.train.generate_lexicons) generate_final_opinion_candidates_list() (in module nlp_architect.models.absa.train.acquire_terms) (in module nlp_architect.models.absa.train.generate_lexicons) generate_model() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) generate_xling_embed() (nlp_architect.models.crossling_emb.WordTranslator method) Generator (class in nlp_architect.models.crossling_emb) GENERIC_OPINION_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) generic_opinion_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) generic_opinion_lex_path (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) GENERIC_QUANTIFIERS_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) generic_quantifiers_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute) GEOGRAPHICAL_ADJECTIVES_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) geographical_adjectives_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute) get_aliases() (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline static method) get_and_set_all_aliases() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages.WikipediaPages method) get_and_set_all_categories() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages.WikipediaPages method) get_and_set_all_disambiguation() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages.WikipediaPages method) get_and_set_be_comp() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages.WikipediaPages method) get_and_set_parenthesis() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages.WikipediaPages method) get_and_set_titles() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages.WikipediaPages method) get_avrg_feature_vector() (nlp_architect.data.cdc_resources.embedding.embed_elmo.ElmoEmbedding method) (nlp_architect.data.cdc_resources.embedding.embed_elmo.ElmoEmbeddingOffline method) (nlp_architect.data.cdc_resources.embedding.embed_glove.GloveEmbeddingOffline method) get_batch() (nlp_architect.data.ptb.PTBDataLoader method) get_best_elastic_results() (nlp_architect.data.cdc_resources.wikipedia.wiki_elastic.WikiElastic method) get_cached_filepath() (in module nlp_architect.data.utils) get_cluster_id() (nlp_architect.common.cdc.cluster.Cluster method) get_config() (nlp_architect.nn.tensorflow.python.keras.layers.crf.CRF method) get_conll_scores() (in module nlp_architect.utils.metrics) get_description() (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline static method) get_dev_examples() (nlp_architect.data.glue_tasks.ColaProcessor method) (nlp_architect.data.glue_tasks.MnliMismatchedProcessor method) (nlp_architect.data.glue_tasks.MnliProcessor method) (nlp_architect.data.glue_tasks.MrpcProcessor method) (nlp_architect.data.glue_tasks.QnliProcessor method) (nlp_architect.data.glue_tasks.QqpProcessor method) (nlp_architect.data.glue_tasks.RteProcessor method) (nlp_architect.data.glue_tasks.Sst2Processor method) (nlp_architect.data.glue_tasks.StsbProcessor method) (nlp_architect.data.glue_tasks.WnliProcessor method) (nlp_architect.data.sequential_tagging.TokenClsProcessor method) (nlp_architect.data.utils.DataProcessor method) (nlp_architect.data.utils.Task method) get_dynamic_scale() (in module nlp_architect.nn.torch.quantization) get_elmo_avg() (nlp_architect.data.cdc_resources.embedding.embed_elmo.ElmoEmbedding method) get_embedding_matrix() (in module nlp_architect.utils.embedding) get_entities() (in module nlp_architect.utils.metrics) get_eval_data() (in module nlp_architect.data.fasttext_emb) get_feature_vector() (nlp_architect.data.cdc_resources.embedding.embed_glove.GloveEmbeddingOffline method) get_file_path() (nlp_architect.models.pretrained_models.PretrainedModel method) get_from_cache() (in module nlp_architect.utils.file_cache) get_glue_task() (in module nlp_architect.data.glue_tasks) get_head_feature_vector() (nlp_architect.data.cdc_resources.embedding.embed_elmo.ElmoEmbedding method) (nlp_architect.data.cdc_resources.embedding.embed_elmo.ElmoEmbeddingOffline method) get_instance() (nlp_architect.models.pretrained_models.PretrainedModel class method) get_labels() (nlp_architect.data.glue_tasks.ColaProcessor method) (nlp_architect.data.glue_tasks.MnliProcessor method) (nlp_architect.data.glue_tasks.MrpcProcessor method) (nlp_architect.data.glue_tasks.QnliProcessor method) (nlp_architect.data.glue_tasks.QqpProcessor method) (nlp_architect.data.glue_tasks.RteProcessor method) (nlp_architect.data.glue_tasks.Sst2Processor method) (nlp_architect.data.glue_tasks.StsbProcessor method) (nlp_architect.data.glue_tasks.WnliProcessor method) (nlp_architect.data.sequential_tagging.TokenClsProcessor method) (nlp_architect.data.utils.DataProcessor method) (nlp_architect.data.utils.Task method) get_labels_filename() (nlp_architect.data.sequential_tagging.TokenClsProcessor static method)

get_logits() (nlp_architect.models.tagging.NeuralTagger method) (nlp_architect.models.TrainableModel method) (nlp_architect.models.transformers.base_model.TransformerBase method) get_mention_id() (nlp_architect.common.cdc.mention_data.MentionData method) get_mention_vec_from_sent() (nlp_architect.data.cdc_resources.embedding.embed_elmo.ElmoEmbedding static method) get_mentions() (nlp_architect.common.cdc.cluster.Cluster method) get_metric_fn() (in module nlp_architect.data.glue_tasks) get_model_files() (nlp_architect.models.pretrained_models.PretrainedModel method) get_models() (in module nlp_architect.models.transformers.base_model) get_module_from_relation() (nlp_architect.models.cross_doc_coref.system.sieves_container_init.SievesContainerInitialization method) get_noun_phrases() (in module nlp_architect.pipelines.spacy_np_annotator) get_optimizer() (nlp_architect.models.tagging.NeuralTagger method) get_options_dict() (in module nlp_architect.models.bist.utils) get_outputs() (nlp_architect.models.most_common_word_sense.MostCommonWordSense method) (nlp_architect.models.np_semantic_segmentation.NpSemanticSegClassifier method) get_page_from_result_v1() (nlp_architect.data.cdc_resources.wikipedia.wiki_elastic.WikiElastic method) get_page_redirect() (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline method) get_pages() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages.WikipediaPages method) (nlp_architect.data.cdc_resources.wikipedia.wiki_elastic.WikiElastic method) (nlp_architect.data.cdc_resources.wikipedia.wiki_offline.WikiOffline method) (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline method) (nlp_architect.data.cdc_resources.wordnet.wordnet_offline.WordnetOffline method) (nlp_architect.data.cdc_resources.wordnet.wordnet_online.WordnetOnline method) get_phrase_related_pages() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction method) get_redirect_result() (nlp_architect.data.cdc_resources.wikipedia.wiki_elastic.WikiElastic method) get_results() (nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system.RunSystemsSuper method) get_run_system() (in module nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system) get_scale() (in module nlp_architect.nn.torch.quantization) get_supported_relations() (nlp_architect.data.cdc_resources.relations.computed_relation_extraction.ComputedRelationExtraction static method) (nlp_architect.data.cdc_resources.relations.referent_dict_relation_extraction.ReferentDictRelationExtraction static method) (nlp_architect.data.cdc_resources.relations.relation_extraction.RelationExtraction static method) (nlp_architect.data.cdc_resources.relations.verbocean_relation_extraction.VerboceanRelationExtraction static method) (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction static method) (nlp_architect.data.cdc_resources.relations.within_doc_coref_extraction.WithinDocCoref static method) (nlp_architect.data.cdc_resources.relations.word_embedding_relation_extraction.WordEmbeddingRelationExtraction static method) (nlp_architect.data.cdc_resources.relations.wordnet_relation_extraction.WordnetRelationExtraction static method) get_teacher_logits() (nlp_architect.nn.torch.distillation.TeacherStudentDistill method), [1] get_test_examples() (nlp_architect.data.glue_tasks.ColaProcessor method) (nlp_architect.data.glue_tasks.MnliMismatchedProcessor method) (nlp_architect.data.glue_tasks.MnliProcessor method) (nlp_architect.data.glue_tasks.MrpcProcessor method) (nlp_architect.data.glue_tasks.QnliProcessor method) (nlp_architect.data.glue_tasks.QqpProcessor method) (nlp_architect.data.glue_tasks.RteProcessor method) (nlp_architect.data.glue_tasks.Sst2Processor method) (nlp_architect.data.glue_tasks.StsbProcessor method) (nlp_architect.data.glue_tasks.WnliProcessor method) (nlp_architect.data.sequential_tagging.TokenClsProcessor method) (nlp_architect.data.utils.DataProcessor method) (nlp_architect.data.utils.Task method) get_tokens() (nlp_architect.common.cdc.mention_data.MentionData method) get_train_examples() (nlp_architect.data.glue_tasks.ColaProcessor method) (nlp_architect.data.glue_tasks.MnliProcessor method) (nlp_architect.data.glue_tasks.MrpcProcessor method) (nlp_architect.data.glue_tasks.QnliProcessor method) (nlp_architect.data.glue_tasks.QqpProcessor method) (nlp_architect.data.glue_tasks.RteProcessor method) (nlp_architect.data.glue_tasks.Sst2Processor method) (nlp_architect.data.glue_tasks.StsbProcessor method) (nlp_architect.data.glue_tasks.WnliProcessor method) (nlp_architect.data.sequential_tagging.TokenClsProcessor method) (nlp_architect.data.utils.DataProcessor method) (nlp_architect.data.utils.Task method) get_train_steps_epochs() (nlp_architect.models.transformers.base_model.TransformerBase static method) get_vector() (nlp_architect.utils.embedding.ELMoEmbedderTFHUB method) get_vocabulary() (nlp_architect.data.sequential_tagging.TokenClsProcessor method) get_wiki_page_item() (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline method) get_wiki_page_with_items() (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline method) get_within_doc_coref_chain() (nlp_architect.data.cdc_resources.relations.within_doc_coref_extraction.WithinDocCoref method) get_words() (nlp_architect.utils.text.Stopwords static method) GLOVE (nlp_architect.data.cdc_resources.relations.relation_types_enums.EmbeddingMethod attribute) glove_file (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) GLOVE_OFFLINE (nlp_architect.data.cdc_resources.relations.relation_types_enums.EmbeddingMethod attribute) GloveEmbedding (class in nlp_architect.data.cdc_resources.embedding.embed_glove) GloveEmbeddingOffline (class in nlp_architect.data.cdc_resources.embedding.embed_glove) gov (nlp_architect.models.absa.train.data_types.DepRelation attribute) gzip_str() (in module nlp_architect.utils.io)

H

HighLevelDoc (class in nlp_architect.common.high_level_doc)

http_get() (in module nlp_architect.utils.file_cache)

I

id_to_char() (in module nlp_architect.utils.text) id_to_word() (nlp_architect.utils.text.Vocabulary method) IDCNN (class in nlp_architect.nn.torch.modules.embedders), [1], [2] idx (nlp_architect.models.absa.train.data_types.DepRelationTerm attribute) IN (nlp_architect.models.absa.train.data_types.POS attribute) index() (nlp_architect.data.fasttext_emb.Dictionary method) inference() (nlp_architect.api.abstract_api.AbstractApi method) (nlp_architect.api.bist_parser_api.BistParserApi method) (nlp_architect.api.intent_extraction_api.IntentExtractionApi method) (nlp_architect.api.ner_api.NerApi method) (nlp_architect.models.TrainableModel method) (nlp_architect.models.tagging.NeuralTagger method) (nlp_architect.models.transformers.sequence_classification.TransformerSequenceClassifier method) (nlp_architect.models.transformers.token_classification.TransformerTokenClassifier method) inference_args() (in module nlp_architect.procedures.transformers.base) inference_quantized_forward() (nlp_architect.nn.torch.quantization.QuantizedEmbedding method) (nlp_architect.nn.torch.quantization.QuantizedLayer method) (nlp_architect.nn.torch.quantization.QuantizedLinear method) init_weights() (nlp_architect.models.transformers.quantized_bert.QuantizedBertPreTrainedModel method) input_shape (nlp_architect.models.intent_extraction.IntentExtractionModel attribute) InputExample (class in nlp_architect.data.utils) InputFeatures (class in nlp_architect.data.glue_tasks) (class in nlp_architect.models.tagging) (class in nlp_architect.models.transformers.base_model) INTENSIFIER (nlp_architect.models.absa.inference.data_types.TermType attribute) intensifier_lex (nlp_architect.models.absa.inference.inference.SentimentInference attribute) INTENSIFIERS_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) intensifiers_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute)

intent_size (nlp_architect.data.intent_datasets.IntentDataset attribute) IntentDataset (class in nlp_architect.data.intent_datasets) IntentExtractionApi (class in nlp_architect.api.intent_extraction_api) IntentExtractionModel (class in nlp_architect.models.intent_extraction) IntentModel (class in nlp_architect.models.pretrained_models) intents_vocab (nlp_architect.data.intent_datasets.IntentDataset attribute) INTERJ (nlp_architect.models.absa.train.data_types.POS attribute) is_both_data_or_time() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction static method) is_both_opposite_personal_pronouns() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction static method) is_conllu() (in module nlp_architect.models.bist.utils) is_connected() (nlp_architect.data.cdc_resources.wikipedia.wiki_elastic.WikiElastic static method) is_determiner() (nlp_architect.utils.string_utils.StringUtils static method) is_disambiguation_page() (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline static method) is_in_stop_list() (nlp_architect.models.absa.train.data_types.LoadAspectStopLists method) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists method) is_marked() (nlp_architect.models.np2vec.NP2vec method) is_name_description() (nlp_architect.data.cdc_resources.wikipedia.wiki_online.WikiOnline static method) is_name_part() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page_extracted_relations.WikipediaPageExtractedRelations static method) is_part_of_same_name() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction method) is_preposition() (nlp_architect.utils.string_utils.StringUtils static method) is_pronoun() (nlp_architect.utils.string_utils.StringUtils static method) is_redirect_same() (nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction.WikipediaRelationExtraction static method) is_referent_dict() (nlp_architect.data.cdc_resources.relations.referent_dict_relation_extraction.ReferentDictRelationExtraction method) is_stop() (nlp_architect.utils.string_utils.StringUtils static method) is_subj_obj_or_mod() (in module nlp_architect.models.absa.train.rules) is_verbocean_relation() (nlp_architect.data.cdc_resources.relations.verbocean_relation_extraction.VerboceanRelationExtraction method) is_word_embed_match() (nlp_architect.data.cdc_resources.relations.word_embedding_relation_extraction.WordEmbeddingRelationExtraction method)

J

json() (nlp_architect.common.core_nlp_doc.CoreNLPDoc method) (nlp_architect.common.high_level_doc.HighLevelDoc method) (nlp_architect.models.absa.inference.data_types.SentimentDoc method)

json_dumper() (in module nlp_architect.utils.io)

L

label_vocab_size (nlp_architect.data.intent_datasets.IntentDataset attribute) lemma (nlp_architect.models.absa.train.data_types.DepRelationTerm attribute) len (nlp_architect.models.absa.inference.data_types.Term attribute) LexiconElement (class in nlp_architect.models.absa.inference.data_types) license_prompt() (in module nlp_architect.utils.generic) line_count() (in module nlp_architect.utils.io) load() (nlp_architect.models.bist.mstlstm.MSTParserLSTM method) (nlp_architect.models.bist_parser.BISTModel method) (nlp_architect.models.chunker.SequenceTagger method) (nlp_architect.models.intent_extraction.IntentExtractionModel method) (nlp_architect.models.most_common_word_sense.MostCommonWordSense method) (nlp_architect.models.ner_crf.NERCRF method) (nlp_architect.models.np2vec.NP2vec class method) (nlp_architect.models.np_semantic_segmentation.NpSemanticSegClassifier method) (nlp_architect.pipelines.spacy_np_annotator.NPAnnotator class method) (nlp_architect.utils.embedding.FasttextEmbeddingsModel class method) load_conllu() (in module nlp_architect.models.bist.eval.conllu.conll17_ud_eval) load_conllu_file() (in module nlp_architect.models.bist.eval.conllu.conll17_ud_eval) load_deprel_weights() (in module nlp_architect.models.bist.eval.conllu.conll17_ud_eval) load_dictionary() (nlp_architect.data.ptb.PTBDictionary method) load_dump() (nlp_architect.data.cdc_resources.wikipedia.wiki_offline.WikiOffline method) (nlp_architect.data.cdc_resources.wordnet.wordnet_offline.WordnetOffline method) load_elmo_for_vocab() (in module nlp_architect.data.cdc_resources.gen_scripts.create_word_embed_elmo_dump) load_embedding_file() (in module nlp_architect.utils.embedding) load_embedding_weights() (nlp_architect.models.chunker.SequenceTagger method) (nlp_architect.models.intent_extraction.IntentExtractionModel method) (nlp_architect.models.ner_crf.NERCRF method) load_embeddings() (nlp_architect.data.fasttext_emb.FastTextEmb method) (nlp_architect.nn.torch.modules.embedders.CNNLSTM method) (nlp_architect.nn.torch.modules.embedders.IDCNN method)

load_files_from_path() (in module nlp_architect.utils.io) load_glove_for_vocab() (nlp_architect.data.cdc_resources.embedding.embed_glove.GloveEmbedding static method) load_json_file() (in module nlp_architect.utils.io) load_lex_as_dict_from_csv() (in module nlp_architect.models.absa.train.data_types) load_mentions_from_file() (nlp_architect.common.cdc.topics.Topics method) load_mentions_vocab() (in module nlp_architect.models.cross_doc_coref.system.cdc_utils) load_mentions_vocab_from_files() (in module nlp_architect.models.cross_doc_coref.system.cdc_utils) load_model() (in module nlp_architect.nn.tensorflow.python.keras.utils.layer_utils) (nlp_architect.api.abstract_api.AbstractApi method) (nlp_architect.api.base.ModelAPI method) (nlp_architect.api.bist_parser_api.BistParserApi method) (nlp_architect.api.intent_extraction_api.IntentExtractionApi method) (nlp_architect.api.ner_api.NerApi method) (nlp_architect.models.TrainableModel method) (nlp_architect.models.tagging.NeuralTagger class method) (nlp_architect.models.transformers.base_model.TransformerBase class method) load_opinion_lex() (in module nlp_architect.models.absa.utils) load_reference_dict() (nlp_architect.data.cdc_resources.relations.referent_dict_relation_extraction.ReferentDictRelationExtraction static method) load_series() (nlp_architect.data.ptb.PTBDataLoader method) load_terms_and_generate_features() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) load_terms_and_polarities() (nlp_architect.models.absa.train.rerank_terms.RerankTerms static method) load_terms_and_y_labels() (nlp_architect.models.absa.train.rerank_terms.RerankTerms static method) load_terms_and_y_labels_and_generate_features() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) load_verbocean_file() (nlp_architect.data.cdc_resources.relations.verbocean_relation_extraction.VerboceanRelationExtraction static method) load_word_embeddings() (in module nlp_architect.utils.embedding) load_word_vectors_dict() (nlp_architect.models.absa.train.rerank_terms.RerankTerms static method) LoadAspectStopLists (class in nlp_architect.models.absa.train.data_types) LoadOpinionStopLists (class in nlp_architect.models.absa.train.data_types) loss() (nlp_architect.nn.tensorflow.python.keras.layers.crf.CRF method) LS (nlp_architect.models.absa.train.data_types.POS attribute)

M

max (nlp_architect.utils.text.Vocabulary attribute) MD (nlp_architect.models.absa.train.data_types.POS attribute) MD_CERTAIN (nlp_architect.models.absa.train.data_types.POS attribute) MentionData (class in nlp_architect.common.cdc.mention_data) MentionDataLight (class in nlp_architect.common.cdc.mention_data) merge_clusters() (nlp_architect.common.cdc.cluster.Cluster method) merge_punct_tok() (in module nlp_architect.common.core_nlp_doc) merge_punctuation() (in module nlp_architect.common.core_nlp_doc) MnliMismatchedProcessor (class in nlp_architect.data.glue_tasks) MnliProcessor (class in nlp_architect.data.glue_tasks) MOD (nlp_architect.models.absa.train.data_types.RelCategory attribute) model (nlp_architect.models.bist_parser.BISTModel attribute)

MODEL_CLASS (nlp_architect.models.transformers.sequence_classification.TransformerSequenceClassifier attribute) (nlp_architect.models.transformers.token_classification.TransformerTokenClassifier attribute) MODEL_CONFIGURATIONS (nlp_architect.models.transformers.base_model.TransformerBase attribute) model_dir (nlp_architect.api.intent_extraction_api.IntentExtractionApi attribute) (nlp_architect.api.ner_api.NerApi attribute) (nlp_architect.models.absa.train.rerank_terms.RerankTerms attribute) ModelAPI (class in nlp_architect.api.base) MostCommonWordSense (class in nlp_architect.models.most_common_word_sense) MrcModel (class in nlp_architect.models.pretrained_models) MrpcProcessor (class in nlp_architect.data.glue_tasks) MSTParserLSTM (class in nlp_architect.models.bist.mstlstm) MultiTaskIntentModel (class in nlp_architect.models.intent_extraction)

N

NEG (nlp_architect.models.absa.inference.data_types.Polarity attribute) NEGATION (nlp_architect.models.absa.inference.data_types.TermType attribute) negation_lex (nlp_architect.models.absa.inference.inference.SentimentInference attribute) NEGATION_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) negation_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute) ner (nlp_architect.models.absa.train.data_types.DepRelationTerm attribute) NerApi (class in nlp_architect.api.ner_api), [1] NERCRF (class in nlp_architect.models.ner_crf) NerModel (class in nlp_architect.models.pretrained_models) NeuralTagger (class in nlp_architect.models.tagging), [1], [2] nlp_architect.api (module) nlp_architect.api.abstract_api (module) nlp_architect.api.base (module) nlp_architect.api.bist_parser_api (module) nlp_architect.api.intent_extraction_api (module) nlp_architect.api.ner_api (module) nlp_architect.cli (module) nlp_architect.cli.cmd_registry (module) nlp_architect.common (module) nlp_architect.common.cdc (module) nlp_architect.common.cdc.cluster (module) nlp_architect.common.cdc.mention_data (module) nlp_architect.common.cdc.topics (module) nlp_architect.common.config (module) nlp_architect.common.core_nlp_doc (module) nlp_architect.common.high_level_doc (module) nlp_architect.data (module) nlp_architect.data.cdc_resources (module) nlp_architect.data.cdc_resources.data_types (module) nlp_architect.data.cdc_resources.data_types.wiki (module) nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page (module) nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page_extracted_relations (module) nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages (module) nlp_architect.data.cdc_resources.data_types.wn (module) nlp_architect.data.cdc_resources.data_types.wn.wordnet_page (module) nlp_architect.data.cdc_resources.embedding (module) nlp_architect.data.cdc_resources.embedding.embed_elmo (module) nlp_architect.data.cdc_resources.embedding.embed_glove (module) nlp_architect.data.cdc_resources.gen_scripts (module) nlp_architect.data.cdc_resources.gen_scripts.create_word_embed_elmo_dump (module) nlp_architect.data.cdc_resources.relations (module) nlp_architect.data.cdc_resources.relations.computed_relation_extraction (module) nlp_architect.data.cdc_resources.relations.referent_dict_relation_extraction (module) nlp_architect.data.cdc_resources.relations.relation_extraction (module) nlp_architect.data.cdc_resources.relations.relation_types_enums (module) nlp_architect.data.cdc_resources.relations.verbocean_relation_extraction (module) nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction (module) nlp_architect.data.cdc_resources.relations.within_doc_coref_extraction (module) nlp_architect.data.cdc_resources.relations.word_embedding_relation_extraction (module) nlp_architect.data.cdc_resources.relations.wordnet_relation_extraction (module) nlp_architect.data.cdc_resources.wikipedia (module) nlp_architect.data.cdc_resources.wikipedia.wiki_elastic (module) nlp_architect.data.cdc_resources.wikipedia.wiki_offline (module) nlp_architect.data.cdc_resources.wikipedia.wiki_online (module) nlp_architect.data.cdc_resources.wikipedia.wiki_search_page_result (module) nlp_architect.data.cdc_resources.wordnet (module) nlp_architect.data.cdc_resources.wordnet.wordnet_offline (module) nlp_architect.data.cdc_resources.wordnet.wordnet_online (module) nlp_architect.data.conll (module) nlp_architect.data.fasttext_emb (module) nlp_architect.data.glue_tasks (module) nlp_architect.data.intent_datasets (module) nlp_architect.data.ptb (module) nlp_architect.data.sequence_classification (module) nlp_architect.data.sequential_tagging (module) nlp_architect.data.utils (module) nlp_architect.models (module) nlp_architect.models.absa (module) nlp_architect.models.absa.inference (module) nlp_architect.models.absa.inference.data_types (module) nlp_architect.models.absa.inference.inference (module) nlp_architect.models.absa.train (module) nlp_architect.models.absa.train.acquire_terms (module) nlp_architect.models.absa.train.data_types (module) nlp_architect.models.absa.train.generate_lexicons (module) nlp_architect.models.absa.train.rerank_terms (module) nlp_architect.models.absa.train.rules (module) nlp_architect.models.absa.train.train (module) nlp_architect.models.absa.utils (module) nlp_architect.models.bist (module) nlp_architect.models.bist.decoder (module) nlp_architect.models.bist.eval (module) nlp_architect.models.bist.eval.conllu (module) nlp_architect.models.bist.eval.conllu.conll17_ud_eval (module)

nlp_architect.models.bist.mstlstm (module) nlp_architect.models.bist.utils (module) nlp_architect.models.bist_parser (module) nlp_architect.models.chunker (module) nlp_architect.models.cross_doc_coref (module) nlp_architect.models.cross_doc_coref.sieves_config (module) nlp_architect.models.cross_doc_coref.sieves_resource (module) nlp_architect.models.cross_doc_coref.system (module) nlp_architect.models.cross_doc_coref.system.cdc_utils (module) nlp_architect.models.cross_doc_coref.system.sieves (module) nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system (module) nlp_architect.models.cross_doc_coref.system.sieves.sieves (module) nlp_architect.models.cross_doc_coref.system.sieves_container_init (module) nlp_architect.models.cross_doc_sieves (module) nlp_architect.models.crossling_emb (module) nlp_architect.models.intent_extraction (module) nlp_architect.models.most_common_word_sense (module) nlp_architect.models.ner_crf (module) nlp_architect.models.np2vec (module) nlp_architect.models.np_semantic_segmentation (module) nlp_architect.models.pretrained_models (module) nlp_architect.models.tagging (module) nlp_architect.models.temporal_convolutional_network (module) nlp_architect.models.transformers (module) nlp_architect.models.transformers.base_model (module) nlp_architect.models.transformers.quantized_bert (module) nlp_architect.models.transformers.sequence_classification (module) nlp_architect.models.transformers.token_classification (module) nlp_architect.nlp (module) nlp_architect.nn (module) nlp_architect.nn.tensorflow (module) nlp_architect.nn.tensorflow.python (module) nlp_architect.nn.tensorflow.python.keras (module) nlp_architect.nn.tensorflow.python.keras.callbacks (module) nlp_architect.nn.tensorflow.python.keras.layers (module) nlp_architect.nn.tensorflow.python.keras.layers.crf (module) nlp_architect.nn.tensorflow.python.keras.utils (module) nlp_architect.nn.tensorflow.python.keras.utils.layer_utils (module) nlp_architect.nn.torch (module) nlp_architect.nn.torch.data (module) nlp_architect.nn.torch.data.dataset (module) nlp_architect.nn.torch.distillation (module) nlp_architect.nn.torch.layers (module) nlp_architect.nn.torch.layers.crf (module) nlp_architect.nn.torch.modules (module) nlp_architect.nn.torch.modules.embedders (module) nlp_architect.nn.torch.quantization (module) nlp_architect.pipelines (module) nlp_architect.pipelines.spacy_bist (module) nlp_architect.pipelines.spacy_np_annotator (module) nlp_architect.procedures (module) nlp_architect.procedures.procedure (module) nlp_architect.procedures.registry (module) nlp_architect.procedures.token_tagging (module) nlp_architect.procedures.transformers (module) nlp_architect.procedures.transformers.base (module) nlp_architect.procedures.transformers.glue (module) nlp_architect.procedures.transformers.seq_tag (module) nlp_architect.utils (module) nlp_architect.utils.ansi2html (module) nlp_architect.utils.embedding (module) nlp_architect.utils.file_cache (module) nlp_architect.utils.generic (module) nlp_architect.utils.io (module) nlp_architect.utils.metrics (module) nlp_architect.utils.resources (module) nlp_architect.utils.string_utils (module) nlp_architect.utils.testing (module) nlp_architect.utils.text (module) nlp_inference_cli() (in module nlp_architect.cli) nlp_train_cli() (in module nlp_architect.cli) NLPArchitectTestCase (class in nlp_architect.utils.testing) NN (nlp_architect.models.absa.train.data_types.POS attribute) NO_RELATION_FOUND (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) NONE (nlp_architect.nn.torch.quantization.QuantizationMode attribute) norm_pos (nlp_architect.models.absa.train.data_types.DepRelationTerm attribute) normalize() (in module nlp_architect.data.conll) (in module nlp_architect.utils.generic) normalize_pos() (in module nlp_architect.models.absa.train.data_types) normalize_str() (nlp_architect.utils.string_utils.StringUtils static method) normalize_string_list() (nlp_architect.utils.string_utils.StringUtils static method) NP2vec (class in nlp_architect.models.np2vec) NPAnnotator (class in nlp_architect.pipelines.spacy_np_annotator) NpSemanticSegClassifier (class in nlp_architect.models.np_semantic_segmentation) NUM (nlp_architect.models.absa.train.data_types.POS attribute) NUM_OF_SENTENCES_PER_OPINION_AND_ASPECT_TERM_INC (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute)

O

OBJ (nlp_architect.models.absa.train.data_types.RelCategory attribute) OFFLINE (nlp_architect.data.cdc_resources.relations.relation_types_enums.OnlineOROfflineMethod attribute) (nlp_architect.data.cdc_resources.relations.relation_types_enums.WikipediaSearchMethod attribute) on_epoch_end() (nlp_architect.nn.tensorflow.python.keras.callbacks.ConllCallback method) one_hot() (in module nlp_architect.utils.generic) one_hot_sentence() (in module nlp_architect.utils.generic) ONLINE (nlp_architect.data.cdc_resources.relations.relation_types_enums.OnlineOROfflineMethod attribute) (nlp_architect.data.cdc_resources.relations.relation_types_enums.WikipediaSearchMethod attribute) OnlineOROfflineMethod (class in nlp_architect.data.cdc_resources.relations.relation_types_enums) OPINION (nlp_architect.models.absa.inference.data_types.TermType attribute) opinion_candidate_list (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) opinion_candidate_list_curr_iter (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) opinion_candidate_list_prev_iter (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute)

opinion_candidate_list_raw (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) opinion_candidates_list_final (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) opinion_lex (nlp_architect.models.absa.inference.inference.SentimentInference attribute) OPINION_STOP_LIST (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) OpinionTerm (class in nlp_architect.models.absa.train.data_types) optimizer (nlp_architect.models.transformers.base_model.TransformerBase attribute) options (nlp_architect.models.bist_parser.BISTModel attribute) order_mentions_by_topics() (nlp_architect.common.cdc.topics.Topics method) ORDINAL_NUMBERS_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) ordinal_numbers_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute) OTHER (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) (nlp_architect.models.absa.train.data_types.POS attribute)

P

pad_sentences() (in module nlp_architect.utils.generic) ParallelDataset (class in nlp_architect.nn.torch.data.dataset) params (nlp_architect.models.bist_parser.BISTModel attribute) parse() (nlp_architect.pipelines.spacy_bist.SpacyBISTParser method) (nlp_architect.utils.text.SpacyInstance method) parse_data() (nlp_architect.models.absa.inference.inference.SentimentInference method) (nlp_architect.models.absa.train.train.TrainSentiment method) parse_dir() (in module nlp_architect.models.absa.utils) parse_docs() (in module nlp_architect.models.absa.utils) parse_docs_bist() (in module nlp_architect.models.absa.utils) parse_proj() (in module nlp_architect.models.bist.decoder) parse_txt() (in module nlp_architect.models.absa.utils) parser (nlp_architect.utils.text.SpacyInstance attribute) pearson_and_spearman() (in module nlp_architect.utils.metrics) Polarity (class in nlp_architect.models.absa.inference.data_types) polarity (nlp_architect.models.absa.inference.data_types.Term attribute) POS (class in nlp_architect.models.absa.train.data_types) (nlp_architect.models.absa.inference.data_types.Polarity attribute) pos (nlp_architect.models.absa.train.data_types.AspectTerm attribute) (nlp_architect.models.absa.train.data_types.CandidateTerm attribute) (nlp_architect.models.absa.train.data_types.DepRelationTerm attribute) POS (nlp_architect.models.absa.train.data_types.POS attribute) pos (nlp_architect.models.absa.train.data_types.QualifiedTerm attribute) pos_vocab (nlp_architect.data.sequential_tagging.CONLL2000 attribute) POSSPRON_1_P (nlp_architect.models.absa.train.data_types.POS attribute) POSSPRON_1_S (nlp_architect.models.absa.train.data_types.POS attribute) POSSPRON_2_P (nlp_architect.models.absa.train.data_types.POS attribute) POSSPRON_2_S (nlp_architect.models.absa.train.data_types.POS attribute) POSSPRON_3_P (nlp_architect.models.absa.train.data_types.POS attribute) POSSPRON_3_S (nlp_architect.models.absa.train.data_types.POS attribute) POSSPRON_4_P (nlp_architect.models.absa.train.data_types.POS attribute) POSSPRON_4_S (nlp_architect.models.absa.train.data_types.POS attribute) precision_score() (in module nlp_architect.models.np_semantic_segmentation) predict() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) (nlp_architect.models.bist.mstlstm.MSTParserLSTM method) (nlp_architect.models.bist_parser.BISTModel method) (nlp_architect.models.chunker.SequenceChunker method) (nlp_architect.models.chunker.SequencePOSTagger method) (nlp_architect.models.chunker.SequenceTagger method) (nlp_architect.models.intent_extraction.IntentExtractionModel method) (nlp_architect.models.ner_crf.NERCRF method) predict_conll() (nlp_architect.models.bist_parser.BISTModel method)

PREDICTION_THRESHOLD (nlp_architect.models.absa.train.rerank_terms.RerankTerms attribute) PREP (nlp_architect.models.absa.train.data_types.POS attribute) prepare_output_path() (in module nlp_architect.utils.io) preposition (nlp_architect.utils.string_utils.StringUtils attribute) PREPOSITIONS_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) prepositions_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute) pretrained_config_archive_map (nlp_architect.models.transformers.quantized_bert.QuantizedBertConfig attribute) pretrained_model (nlp_architect.api.intent_extraction_api.IntentExtractionApi attribute) (nlp_architect.api.ner_api.NerApi attribute) pretrained_model_archive_map (nlp_architect.models.transformers.token_classification.RobertaForTokenClassificationHead attribute) pretrained_model_info (nlp_architect.api.intent_extraction_api.IntentExtractionApi attribute) (nlp_architect.api.ner_api.NerApi attribute) PretrainedModel (class in nlp_architect.models.pretrained_models) pretty_json() (nlp_architect.common.core_nlp_doc.CoreNLPDoc method) (nlp_architect.common.high_level_doc.HighLevelDoc method) (nlp_architect.models.absa.inference.data_types.SentimentDoc method) pretty_print() (nlp_architect.api.ner_api.NerApi static method) print_evaluation_results() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) print_measure() (nlp_architect.models.absa.train.rerank_terms.RerankTerms static method) print_params() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) Procedure (class in nlp_architect.procedures.procedure) process_batch() (nlp_architect.utils.text.SpacyInstance method) process_inference_input() (in module nlp_architect.procedures.token_tagging) (in module nlp_architect.procedures.transformers.seq_tag) process_text() (nlp_architect.api.intent_extraction_api.IntentExtractionApi method) (nlp_architect.api.ner_api.NerApi method) PRON (nlp_architect.models.absa.train.data_types.POS attribute) PRON_1_P (nlp_architect.models.absa.train.data_types.POS attribute) PRON_1_S (nlp_architect.models.absa.train.data_types.POS attribute) PRON_2_S (nlp_architect.models.absa.train.data_types.POS attribute) PRON_3_P (nlp_architect.models.absa.train.data_types.POS attribute) PRON_3_S (nlp_architect.models.absa.train.data_types.POS attribute) PRON_4_S (nlp_architect.models.absa.train.data_types.POS attribute) pronouns (nlp_architect.utils.string_utils.StringUtils attribute) PRONOUNS_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) pronouns_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) PROPER_NAME (nlp_architect.models.absa.train.data_types.POS attribute) prune_heads() (nlp_architect.models.transformers.quantized_bert.QuantizedBertAttention method) PTBDataLoader (class in nlp_architect.data.ptb) PTBDictionary (class in nlp_architect.data.ptb) PUNCT (nlp_architect.models.absa.train.data_types.POS attribute)

Q

QnliProcessor (class in nlp_architect.data.glue_tasks) QqpProcessor (class in nlp_architect.data.glue_tasks) QualifiedTerm (class in nlp_architect.models.absa.train.data_types) QuantizationConfig (class in nlp_architect.nn.torch.quantization) QuantizationMode (class in nlp_architect.nn.torch.quantization) quantize() (in module nlp_architect.nn.torch.quantization) quantized_bias (nlp_architect.nn.torch.quantization.QuantizedLinear attribute) quantized_embedding_setup() (in module nlp_architect.models.transformers.quantized_bert) quantized_linear_setup() (in module nlp_architect.models.transformers.quantized_bert) QuantizedBertAttention (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertConfig (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertEmbeddings (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertEncoder (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertForQuestionAnswering (class in nlp_architect.models.transformers.quantized_bert)

QuantizedBertForSequenceClassification (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertForTokenClassification (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertForTokenClassificationHead (class in nlp_architect.models.transformers.token_classification) QuantizedBertIntermediate (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertLayer (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertModel (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertOutput (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertPooler (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertPreTrainedModel (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertSelfAttention (class in nlp_architect.models.transformers.quantized_bert) QuantizedBertSelfOutput (class in nlp_architect.models.transformers.quantized_bert) QuantizedEmbedding (class in nlp_architect.nn.torch.quantization) QuantizedLayer (class in nlp_architect.nn.torch.quantization) QuantizedLinear (class in nlp_architect.nn.torch.quantization)

R

read_column_tagged_file() (in module nlp_architect.data.utils) read_conll() (in module nlp_architect.models.bist.utils) read_embeddings() (nlp_architect.data.fasttext_emb.FastTextEmb method) read_generic_lex_from_file() (in module nlp_architect.models.absa.utils) read_json_mention_data_line() (nlp_architect.common.cdc.mention_data.MentionData static method) read_mentions_json_to_mentions_data_list() (nlp_architect.common.cdc.mention_data.MentionData static method) read_sequential_tagging_file() (in module nlp_architect.utils.text) read_tsv() (in module nlp_architect.data.utils) recall_score() (in module nlp_architect.models.np_semantic_segmentation) REFERENT_DICT (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) referent_dict_file (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) referent_dict_method (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) ReferentDictRelationExtraction (class in nlp_architect.data.cdc_resources.relations.referent_dict_relation_extraction) register_cmd() (in module nlp_architect.procedures.registry) register_inference_cmd() (in module nlp_architect.procedures.registry) register_train_cmd() (in module nlp_architect.procedures.registry) rel (nlp_architect.models.absa.train.data_types.DepRelation attribute) RelationExtraction (class in nlp_architect.data.cdc_resources.relations.relation_extraction) RelationType (class in nlp_architect.data.cdc_resources.relations.relation_types_enums) RelCategory (class in nlp_architect.models.absa.train.data_types) report_metrics() (nlp_architect.models.crossling_emb.WordTranslator static method) REPR_ATTRIBUTES (nlp_architect.nn.torch.quantization.QuantizedLayer attribute) (nlp_architect.nn.torch.quantization.QuantizedLinear attribute) rerank_train() (nlp_architect.models.absa.train.rerank_terms.RerankTerms method) RerankTerms (class in nlp_architect.models.absa.train.rerank_terms) reset() (nlp_architect.data.ptb.PTBDataLoader method) reset_parameters() (nlp_architect.nn.torch.layers.crf.CRF method) reverse_vocab() (nlp_architect.utils.text.Vocabulary method) RobertaForTokenClassificationHead (class in nlp_architect.models.transformers.token_classification) RP (nlp_architect.models.absa.train.data_types.POS attribute) RteProcessor (class in nlp_architect.data.glue_tasks) rule_1() (in module nlp_architect.models.absa.train.rules) rule_2() (in module nlp_architect.models.absa.train.rules)

rule_3() (in module nlp_architect.models.absa.train.rules) rule_4() (in module nlp_architect.models.absa.train.rules) rule_5() (in module nlp_architect.models.absa.train.rules) rule_6() (in module nlp_architect.models.absa.train.rules) run() (in module nlp_architect.utils.ansi2html) (nlp_architect.api.base.ModelAPI method) (nlp_architect.models.absa.inference.inference.SentimentInference method) (nlp_architect.models.absa.train.train.TrainSentiment method) (nlp_architect.models.crossling_emb.WordTranslator method) (nlp_architect.models.temporal_convolutional_network.TCN method) (nlp_architect.procedures.procedure.Procedure class method) run_conllu_eval() (in module nlp_architect.models.bist.eval.conllu.conll17_ud_eval) run_deterministic() (nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system.RunSystemsSuper method) run_discriminator() (nlp_architect.models.crossling_emb.WordTranslator method) run_entity_coref() (in module nlp_architect.models.cross_doc_sieves) run_eval() (in module nlp_architect.models.bist.utils) run_evaluation (nlp_architect.models.cross_doc_coref.sieves_config.SievesConfiguration attribute) run_event_coref() (in module nlp_architect.models.cross_doc_sieves) run_generator() (nlp_architect.models.crossling_emb.WordTranslator method) run_multiple() (nlp_architect.models.absa.inference.inference.SentimentInference method) run_procedure() (nlp_architect.procedures.procedure.Procedure static method) (nlp_architect.procedures.token_tagging.RunTagger static method) (nlp_architect.procedures.token_tagging.TrainTagger static method) (nlp_architect.procedures.token_tagging.TrainTaggerKD static method) (nlp_architect.procedures.token_tagging.TrainTaggerKDPseudo static method) (nlp_architect.procedures.transformers.glue.TransformerGlueRun static method) (nlp_architect.procedures.transformers.glue.TransformerGlueTrain static method) (nlp_architect.procedures.transformers.seq_tag.TransformerTokenClsRun static method) (nlp_architect.procedures.transformers.seq_tag.TransformerTokenClsTrain static method) run_sieve() (nlp_architect.models.cross_doc_coref.system.sieves.sieves.SieveClusterMerger method) RunSystemsEntity (class in nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system) RunSystemsEvent (class in nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system) RunSystemsSuper (class in nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system) RunTagger (class in nlp_architect.procedures.token_tagging)

S

safe_extract_field_from_dict() (nlp_architect.data.cdc_resources.wikipedia.wiki_elastic.WikiElastic static method) SAME_HEAD_LEMMA (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) sample_label_unlabeled() (in module nlp_architect.data.utils) sanitize_path() (in module nlp_architect.utils.io) save() (nlp_architect.models.bist.mstlstm.MSTParserLSTM method) (nlp_architect.models.bist_parser.BISTModel method) (nlp_architect.models.chunker.SequenceTagger method) (nlp_architect.models.intent_extraction.IntentExtractionModel method) (nlp_architect.models.intent_extraction.MultiTaskIntentModel method) (nlp_architect.models.most_common_word_sense.MostCommonWordSense method) (nlp_architect.models.ner_crf.NERCRF method) (nlp_architect.models.np2vec.NP2vec method) (nlp_architect.models.np_semantic_segmentation.NpSemanticSegClassifier method) (nlp_architect.utils.embedding.FasttextEmbeddingsModel method) save_dictionary() (nlp_architect.data.ptb.PTBDictionary method) save_model() (in module nlp_architect.nn.tensorflow.python.keras.utils.layer_utils) (nlp_architect.models.TrainableModel method) (nlp_architect.models.crossling_emb.WordTranslator method) (nlp_architect.models.tagging.NeuralTagger method) (nlp_architect.models.transformers.base_model.TransformerBase method) save_model_checkpoint() (nlp_architect.models.transformers.base_model.TransformerBase method) save_pretrained() (nlp_architect.models.transformers.quantized_bert.QuantizedBertPreTrainedModel method) scheduler (nlp_architect.models.transformers.base_model.TransformerBase attribute) score (nlp_architect.models.absa.inference.data_types.Term attribute) sent_iter() (nlp_architect.common.core_nlp_doc.CoreNLPDoc method) sent_text() (nlp_architect.common.core_nlp_doc.CoreNLPDoc method) sentence (nlp_architect.models.absa.train.data_types.CandidateTerm attribute) sentences (nlp_architect.common.core_nlp_doc.CoreNLPDoc attribute) (nlp_architect.models.absa.inference.data_types.SentimentDoc attribute) SentimentDoc (class in nlp_architect.models.absa.inference.data_types) SentimentDocEncoder (class in nlp_architect.models.absa.inference.data_types) SentimentInference (class in nlp_architect.models.absa.inference.inference) SentimentSentence (class in nlp_architect.models.absa.inference.data_types) Seq2SeqIntentModel (class in nlp_architect.models.intent_extraction) sequence_accuracy_score() (in module nlp_architect.utils.metrics) sequence_f1_score() (in module nlp_architect.utils.metrics) sequence_performance_measure() (in module nlp_architect.utils.metrics) sequence_precision_score() (in module nlp_architect.utils.metrics) sequence_recall_score() (in module nlp_architect.utils.metrics) SequenceChunker (class in nlp_architect.models.chunker) SequenceClsInputExample (class in nlp_architect.data.sequence_classification) SequencePOSTagger (class in nlp_architect.models.chunker) SequenceTagger (class in nlp_architect.models.chunker) SequentialTaggingDataset (class in nlp_architect.data.sequential_tagging)

set_coref_chain_to_mentions() (nlp_architect.common.cdc.cluster.Clusters method) set_initial_clusters() (nlp_architect.common.cdc.cluster.Clusters method) set_lr() (nlp_architect.models.crossling_emb.WordTranslator static method) set_noun_phrases() (in module nlp_architect.pipelines.spacy_np_annotator) set_opinion_term_polarity() (in module nlp_architect.models.absa.train.generate_lexicons) set_seed() (in module nlp_architect.nn.torch) set_sieves_from_config() (nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system.RunSystemsSuper static method) setUp() (nlp_architect.utils.testing.NLPArchitectTestCase method) setup_backend() (in module nlp_architect.nn.torch) setup_default_optimizer() (nlp_architect.models.transformers.base_model.TransformerBase method) SieveClusterMerger (class in nlp_architect.models.cross_doc_coref.system.sieves.sieves) sieves_order (nlp_architect.models.cross_doc_coref.sieves_config.SievesConfiguration attribute) SievesConfiguration (class in nlp_architect.models.cross_doc_coref.sieves_config) SievesContainerInitialization (class in nlp_architect.models.cross_doc_coref.system.sieves_container_init) SievesResources (class in nlp_architect.models.cross_doc_coref.sieves_resource) simple_accuracy() (in module nlp_architect.utils.metrics) simple_normalizer() (in module nlp_architect.utils.text) SNIPS (class in nlp_architect.data.intent_datasets) source_term (nlp_architect.models.absa.train.data_types.CandidateTerm attribute) spacy_no_parser (nlp_architect.utils.string_utils.StringUtils attribute) spacy_normalizer() (in module nlp_architect.utils.text) spacy_parser (nlp_architect.utils.string_utils.StringUtils attribute) SpacyBISTParser (class in nlp_architect.pipelines.spacy_bist) SpacyInstance (class in nlp_architect.utils.text) SpacyNPAnnotator (class in nlp_architect.pipelines.spacy_np_annotator) split_column_dataset() (in module nlp_architect.data.utils) Sst2Processor (class in nlp_architect.data.glue_tasks) start (nlp_architect.models.absa.inference.data_types.SentimentSentence attribute) (nlp_architect.models.absa.inference.data_types.Term attribute) start_of_chunk() (in module nlp_architect.utils.metrics) start_transitions (nlp_architect.nn.torch.layers.crf.CRF attribute) static_gen_token_unique_id() (nlp_architect.common.cdc.mention_data.MentionData static method) stop_words (nlp_architect.utils.string_utils.StringUtils attribute) (nlp_architect.utils.text.Stopwords attribute) Stopwords (class in nlp_architect.utils.text) StringUtils (class in nlp_architect.utils.string_utils) StsbProcessor (class in nlp_architect.data.glue_tasks) sub_path (nlp_architect.models.pretrained_models.AbsaModel attribute) (nlp_architect.models.pretrained_models.BistModel attribute) (nlp_architect.models.pretrained_models.ChunkerModel attribute) (nlp_architect.models.pretrained_models.IntentModel attribute) (nlp_architect.models.pretrained_models.MrcModel attribute) (nlp_architect.models.pretrained_models.NerModel attribute) SUBJ (nlp_architect.models.absa.train.data_types.RelCategory attribute) SYM (nlp_architect.models.absa.train.data_types.POS attribute)

T

TabularIntentDataset (class in nlp_architect.data.intent_datasets) tagging() (in module nlp_architect.utils.metrics) tags_vocab (nlp_architect.data.intent_datasets.IntentDataset attribute) Task (class in nlp_architect.data.utils) TCN (class in nlp_architect.models.temporal_convolutional_network) TeacherStudentDistill (class in nlp_architect.nn.torch.distillation), [1] tearDown() (nlp_architect.utils.testing.NLPArchitectTestCase method) Term (class in nlp_architect.models.absa.inference.data_types) term (nlp_architect.models.absa.train.data_types.CandidateTerm attribute) (nlp_architect.models.absa.train.data_types.QualifiedTerm attribute) term_polarity (nlp_architect.models.absa.train.data_types.CandidateTerm attribute) (nlp_architect.models.absa.train.data_types.QualifiedTerm attribute) terms (nlp_architect.models.absa.train.data_types.AspectTerm attribute) (nlp_architect.models.absa.train.data_types.OpinionTerm attribute) TermType (class in nlp_architect.models.absa.inference.data_types) test_files (nlp_architect.data.intent_datasets.SNIPS attribute) test_set (nlp_architect.data.intent_datasets.IntentDataset attribute) (nlp_architect.data.sequential_tagging.CONLL2000 attribute) (nlp_architect.data.sequential_tagging.SequentialTaggingDataset attribute) text (nlp_architect.models.absa.inference.data_types.Term attribute) (nlp_architect.models.absa.train.data_types.DepRelationTerm attribute) TIME_ADJECTIVE_LEX (nlp_architect.models.absa.train.acquire_terms.AcquireTerms attribute) time_adjective_lex (nlp_architect.models.absa.train.data_types.LoadAspectStopLists attribute) (nlp_architect.models.absa.train.data_types.LoadOpinionStopLists attribute) TO (nlp_architect.models.absa.train.data_types.POS attribute) to() (nlp_architect.models.tagging.NeuralTagger method) (nlp_architect.models.transformers.base_model.TransformerBase method) to_conll() (nlp_architect.pipelines.spacy_bist.SpacyBISTParser method) to_dict() (nlp_architect.common.config.Config method) to_json_string() (nlp_architect.common.config.Config method) to_one_hot() (in module nlp_architect.utils.generic) toggle_8bit() (nlp_architect.models.transformers.quantized_bert.QuantizedBertPreTrainedModel method) toJson() (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page.WikipediaPage method) (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page_extracted_relations.WikipediaPageExtractedRelations method) (nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages.WikipediaPages method) (nlp_architect.data.cdc_resources.data_types.wn.wordnet_page.WordnetPage method)

TokenClsInputExample (class in nlp_architect.data.sequential_tagging) TokenClsProcessor (class in nlp_architect.data.sequential_tagging) tokenize() (nlp_architect.utils.text.SpacyInstance method) Topic (class in nlp_architect.common.cdc.topics) Topics (class in nlp_architect.common.cdc.topics) train() (nlp_architect.models.bist.mstlstm.MSTParserLSTM method) (nlp_architect.models.TrainableModel method) (nlp_architect.models.tagging.NeuralTagger method) (nlp_architect.models.transformers.sequence_classification.TransformerSequenceClassifier method) (nlp_architect.models.transformers.token_classification.TransformerTokenClassifier method) (nlp_architect.nn.torch.quantization.QuantizedLayer method) (nlp_architect.utils.embedding.FasttextEmbeddingsModel method) train_args() (in module nlp_architect.procedures.transformers.base) train_files (nlp_architect.data.intent_datasets.SNIPS attribute) train_rerank_data_path (nlp_architect.models.absa.train.rerank_terms.RerankTerms attribute) train_set (nlp_architect.data.intent_datasets.IntentDataset attribute) (nlp_architect.data.sequential_tagging.CONLL2000 attribute) (nlp_architect.data.sequential_tagging.SequentialTaggingDataset attribute) TrainableModel (class in nlp_architect.models) training_quantized_forward() (nlp_architect.nn.torch.quantization.QuantizedEmbedding method) (nlp_architect.nn.torch.quantization.QuantizedLayer method) (nlp_architect.nn.torch.quantization.QuantizedLinear method) TrainSentiment (class in nlp_architect.models.absa.train.train) TrainTagger (class in nlp_architect.procedures.token_tagging) TrainTaggerKD (class in nlp_architect.procedures.token_tagging) TrainTaggerKDPseudo (class in nlp_architect.procedures.token_tagging) TransformerBase (class in nlp_architect.models.transformers.base_model) TransformerGlueRun (class in nlp_architect.procedures.transformers.glue) TransformerGlueTrain (class in nlp_architect.procedures.transformers.glue) TransformerSequenceClassifier (class in nlp_architect.models.transformers.sequence_classification) TransformerTokenClassifier (class in nlp_architect.models.transformers.token_classification) TransformerTokenClsRun (class in nlp_architect.procedures.transformers.seq_tag) TransformerTokenClsTrain (class in nlp_architect.procedures.transformers.seq_tag) transitions (nlp_architect.nn.torch.layers.crf.CRF attribute) try_to_load_spacy() (in module nlp_architect.utils.text) txt_line_generator() (in module nlp_architect.models.absa.utils) type (nlp_architect.models.absa.inference.data_types.Term attribute)

U

UDError uncompress_file() (in module nlp_architect.utils.io) UNK (nlp_architect.models.absa.inference.data_types.Polarity attribute)

update_best_model() (nlp_architect.models.tagging.NeuralTagger method) (nlp_architect.models.transformers.base_model.TransformerBase method) url_to_filename() (in module nlp_architect.utils.file_cache)

V

valid_path_append() (in module nlp_architect.utils.io) validate() (in module nlp_architect.utils.io) validate_boolean() (in module nlp_architect.utils.io) validate_existing_directory() (in module nlp_architect.utils.io) validate_existing_filepath() (in module nlp_architect.utils.io) validate_existing_path() (in module nlp_architect.utils.io) validate_parent_exists() (in module nlp_architect.utils.io) validate_proxy_path() (in module nlp_architect.utils.io) VB (nlp_architect.models.absa.train.data_types.POS attribute) VB_PAST (nlp_architect.models.absa.train.data_types.POS attribute) VB_PRESENT (nlp_architect.models.absa.train.data_types.POS attribute) VBG (nlp_architect.models.absa.train.data_types.POS attribute)

VBN (nlp_architect.models.absa.train.data_types.POS attribute) vec() (nlp_architect.utils.embedding.FasttextEmbeddingsModel method) vectorize() (nlp_architect.api.intent_extraction_api.IntentExtractionApi method) (nlp_architect.api.ner_api.NerApi method) VERBOCEAN_MATCH (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) VerboceanRelationExtraction (class in nlp_architect.data.cdc_resources.relations.verbocean_relation_extraction) viterbi_accuracy (nlp_architect.nn.tensorflow.python.keras.layers.crf.CRF attribute) vo_dict_file (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) vo_search_method (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) vocab (nlp_architect.utils.text.Vocabulary attribute) vocab() (in module nlp_architect.models.bist.utils) Vocabulary (class in nlp_architect.utils.text)

W

walk_directory() (in module nlp_architect.utils.io) wd_file (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) weight_scale (nlp_architect.nn.torch.quantization.QuantizedLayer attribute) WeightNorm (class in nlp_architect.models.temporal_convolutional_network) WH_ADV (nlp_architect.models.absa.train.data_types.POS attribute) WH_DET (nlp_architect.models.absa.train.data_types.POS attribute) WH_PROP (nlp_architect.models.absa.train.data_types.POS attribute) wiki_folder (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) wiki_search_method (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) WikiElastic (class in nlp_architect.data.cdc_resources.wikipedia.wiki_elastic) WikiOffline (class in nlp_architect.data.cdc_resources.wikipedia.wiki_offline) WikiOffline.NoPage (class in nlp_architect.data.cdc_resources.wikipedia.wiki_offline) WikiOnline (class in nlp_architect.data.cdc_resources.wikipedia.wiki_online) WIKIPEDIA_ALIASES (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WIKIPEDIA_BE_COMP (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WIKIPEDIA_CATEGORY (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WIKIPEDIA_DISAMBIGUATION (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WIKIPEDIA_PART_OF_SAME_NAME (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WIKIPEDIA_REDIRECT_LINK (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WIKIPEDIA_TITLE_PARENTHESIS (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WikipediaPage (class in nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page) WikipediaPageExtractedRelations (class in nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page_extracted_relations) WikipediaPages (class in nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages) WikipediaRelationExtraction (class in nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction) WikipediaSearchMethod (class in nlp_architect.data.cdc_resources.relations.relation_types_enums) WikipediaSearchPageResult (class in nlp_architect.data.cdc_resources.wikipedia.wiki_search_page_result) WITHIN_DOC_COREF (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute)

WithinDocCoref (class in nlp_architect.data.cdc_resources.relations.within_doc_coref_extraction) wn_folder (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) wn_search_method (nlp_architect.models.cross_doc_coref.sieves_resource.SievesResources attribute) WnliProcessor (class in nlp_architect.data.glue_tasks) WORD_EMBEDDING_MATCH (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) word_id() (nlp_architect.utils.text.Vocabulary method) word_vector_generator() (in module nlp_architect.utils.text) word_vocab (nlp_architect.data.intent_datasets.IntentDataset attribute) (nlp_architect.data.sequential_tagging.CONLL2000 attribute) (nlp_architect.data.sequential_tagging.SequentialTaggingDataset attribute) word_vocab_size (nlp_architect.data.intent_datasets.IntentDataset attribute) (nlp_architect.data.sequential_tagging.SequentialTaggingDataset attribute) WordEmbeddingRelationExtraction (class in nlp_architect.data.cdc_resources.relations.word_embedding_relation_extraction) WORDNET_DERIVATIONALLY (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WORDNET_PARTIAL_SYNSET_MATCH (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WORDNET_SAME_SYNSET (nlp_architect.data.cdc_resources.relations.relation_types_enums.RelationType attribute) WordnetOffline (class in nlp_architect.data.cdc_resources.wordnet.wordnet_offline) WordnetOnline (class in nlp_architect.data.cdc_resources.wordnet.wordnet_online) WordnetPage (class in nlp_architect.data.cdc_resources.data_types.wn.wordnet_page) WordnetRelationExtraction (class in nlp_architect.data.cdc_resources.relations.wordnet_relation_extraction) WordTranslator (class in nlp_architect.models.crossling_emb) write_clusters_to_file() (in module nlp_architect.models.cross_doc_coref.system.cdc_utils) write_column_tagged_file() (in module nlp_architect.data.utils) write_conll() (in module nlp_architect.models.bist.utils) write_entity_coref_scorer_results() (in module nlp_architect.models.cross_doc_coref.system.cdc_utils) write_evaluation_report() (nlp_architect.models.absa.train.rerank_terms.RerankTerms static method) write_event_coref_scorer_results() (in module nlp_architect.models.cross_doc_coref.system.cdc_utils) write_topics() (in module nlp_architect.models.cross_doc_coref.system.cdc_utils)

X

XLNetTokenClassificationHead (class in nlp_architect.models.transformers.token_classification)

Y

y_labels (nlp_architect.data.sequential_tagging.SequentialTaggingDataset attribute)

Z

zipfile_list() (in module nlp_architect.utils.io)