Publications

Blog posts

• Revolutionizing Personal Assistant Through Understanding Actionable Requests in Human-to-Human Interactions
• Introducing NLP Architect by Intel AI Lab
• Deep Learning Foundations to Enable Natural Language Processing Solutions
• NLP Architect by Intel AI Lab: Release 0.2
• NLP Architect Version 0.3 Release
• Compressing GNMT Models
• Exploring Term Set Expansion with NLP Architect
• Extracting Semantic Relations using External Knowledge Resources with NLP Architect
• Future Directions for NLP in Commercial Environments
• Introducing Aspect-Based Sentiment Analysis in NLP Architect
• Advances in Cross-document Entity and Event Coreference Resolution for NLP

Conference Proceedings

• Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow, Mamou, Jonathan; Pereg, Oren; Wasserblat, Moshe; Dagan, Ido; Goldberg, Yoav; Eirew, Alon; Green, Yael; Guskin, Shira; Izsak, Peter; Korat, Daniel, COLING 2018 System Demonstration paper. (paper, video, models: [solution, NP2vec, Chunker])
• Term Set Expansion based NLP Architect by Intel AI Lab, Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat, EMNLP 2018 System Demonstration. (paper)

Video Tutorials

• Intel AI AIDC 2018:
  • Natural Language Question/Answer Systems: Hands on Workshop - Andy Keller, Anna Bethke (video, slides)
  • Using Deep Learning for Entity Detection and Intent Extraction in Natural Language: Hands on Workshop - Peter Izsak (video, slides)
• Classifying NLP with Deep Learning: Webinar - Anna Bethke (video)

Demos

• NeurIPS 2018:
  • Unsupervised Aspect-based Sentiment Analysis (video)