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.
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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