Avirup (Avi) Sil  Avirup (Avi) Sil photo         

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Research Staff Member & Chair, NLP Professional Community
IBM Research AI, New York, USA
  

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Professional Associations

Professional Associations:  Association for Computational Linguistics

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Work Experience: [ CV ]

  • NLP Chair, IBM, 2017 - present
  • Research Scientist, IBM, 2014 - present
  • Research Intern, Microsoft Research, Summer 2013
  • Data & Tech Analyst Intern, Morgan Stanley, Summer 2011

Chair:

About him: 
Dr. Avi Sil is a Research Scientist in the Information Extraction and NLP group at IBM Research AI. He is also the Chair of the NLP professional community of IBM. At IBM Research AI, he is working on industry scale NLP and Deep Learning algorithms. His work is mainly on Information Extraction: entity recognition and linking and relation extraction. 
Currently, he is working on Question Answering algorithms by attaching world knowledge to systems.

Avi finished his PhD in Computer Science under the supervision of his thesis advisor Alexander Yates. He also worked on Temporal Information Extraction in the Machine Learning Group at Microsoft Research, Redmond managed by Chris Burges and John Platt. His mentor was Silviu Cucerzan. He has more than 12 US patents filed all in the area of Artificial Intelligence and it's applications in various spheres.

Latest News:

  1. Slides from our ACL tutorial are now available here!
  2. (new) Will be co-ordinating the EDL track at TAC KBP 2018 along with Heng Ji. Please consider participating.
  3. (new) ACL paper on Neural Cross-lingual Coreference resolution has been accepted.
  4. Our ACL Tutorial website is now up!! Go check it out here.
  5. Giving the Multi-lingual Entity Discovery and Linking Tutorial at ACL 2018 along with Dan Roth, Heng Ji & Silviu Cucerzan.
  6. Area chair for COLING 2018
  7. Area chair for Information Extraction at NAACL 2018
  8. AAAI 2018 Paper accepted: Neural Cross-lingual Entity Linking
  9. Organizing ACL 2018 Workshop on "Relevance of Linguistic Structures in Neural NLP".

Research Interests: 

  • Natural Language Processing
  • Question Answering
  • Information Extraction
  •  Deep Learning