5 citations · 8 across the 3 of their papers we have counts for
10 papers
Generating Related Work
Darsh J Shah, Regina Barzilay
Communicating new research ideas involves highlighting similarities and differences with past work. Authors write fluent, often long sections to survey the distinction of a new pap…
Nutribullets Hybrid: Multi-document Health Summarization
Darsh J Shah, Lili Yu, Tao Lei +1
We present a method for generating comparative summaries that highlights similarities and contradictions in input documents. The key challenge in creating such summaries is the lac…
Nutri-bullets: Summarizing Health Studies by Composing Segments
Darsh J Shah, Lili Yu, Tao Lei +1
We introduce \emph{Nutri-bullets}, a multi-document summarization task for health and nutrition. First, we present two datasets of food and health summaries from multiple scientifi…
Capturing Greater Context for Question Generation
Luu Anh Tuan, Darsh J Shah, Regina Barzilay
Automatic question generation can benefit many applications ranging from dialogue systems to reading comprehension. While questions are often asked with respect to long documents,…
Automatic Fact-guided Sentence Modification
Darsh J Shah, Tal Schuster, Regina Barzilay
Online encyclopediae like Wikipedia contain large amounts of text that need frequent corrections and updates. The new information may contradict existing content in encyclopediae.…
Towards Debiasing Fact Verification Models
Tal Schuster, Darsh J Shah, Yun Jie Serene Yeo +3
Fact verification requires validating a claim in the context of evidence. We show, however, that in the popular FEVER dataset this might not necessarily be the case. Claim-only cla…