nlp_architect.data.cdc_resources.embedding package
Submodules
nlp_architect.data.cdc_resources.embedding.embed_elmo module
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class
nlp_architect.data.cdc_resources.embedding.embed_elmo.ElmoEmbedding[source]
Bases: object
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apply_get_from_cache(sentence: str, context: bool = False, indexs: List[int] = None)[source]
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get_avrg_feature_vector(tokens_str)[source]
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get_elmo_avg(sentence)[source]
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get_head_feature_vector(mention: nlp_architect.common.cdc.mention_data.MentionDataLight)[source]
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static
get_mention_vec_from_sent(sent_vec, indexs)[source]
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class
nlp_architect.data.cdc_resources.embedding.embed_elmo.ElmoEmbeddingOffline(dump_file)[source]
Bases: object
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get_avrg_feature_vector(tokens_str)[source]
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get_head_feature_vector(mention: nlp_architect.common.cdc.mention_data.MentionDataLight)[source]
nlp_architect.data.cdc_resources.embedding.embed_glove module
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class
nlp_architect.data.cdc_resources.embedding.embed_glove.GloveEmbedding(glove_file)[source]
Bases: object
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static
load_glove_for_vocab(glove_filename)[source]
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class
nlp_architect.data.cdc_resources.embedding.embed_glove.GloveEmbeddingOffline(embed_resources)[source]
Bases: object
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get_avrg_feature_vector(tokens_str)[source]
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get_feature_vector(mention: nlp_architect.common.cdc.mention_data.MentionDataLight)[source]
Module contents