200 citations · 397 across the 15 of their papers we have counts for
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cs.CL2019
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns
Nikhil Verma, Abhishek Sharma, Dhiraj Madan +3
Neural Conversational QA tasks like ShARC require systems to answer questions based on the contents of a given passage. On studying recent state-of-the-art models on the ShARCQA ta…
cs.CL2019★ 2 cited
Large Scale Question Answering using Tourism Data
Danish Contractor, Krunal Shah, Aditi Partap +2
We introduce the novel task of answering entity-seeking recommendation questions using a collection of reviews that describe candidate answer entities. We harvest a QA dataset that…