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Question Answering, an IBM Perspective
Salim Roukos

Sun Dec 06 03:50 PM -- 04:30 PM (PST) @

In this talk we present our work on reading comprehension using the various RC datasets: SQuAD, Natural Questions, Multilingual QA, and TyDi (10 typologically diverse languages). We also discuss domain adaptation for question answering systems and introduce a new leaderboard for domain adaptation called Tech_QA.

Author Information

Salim Roukos (IBM)

Salim Roukos, IBM Fellow, working on multilingual NLP using Machine (and Deep) Learning models for language translation, information extraction, and language understanding.

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