no code implementations • 7 Dec 2021 • Darsh J Shah, Sinong Wang, Han Fang, Hao Ma, Luke Zettlemoyer
The ubiquity of offensive and hateful content on online fora necessitates the need for automatic solutions that detect such content competently across target groups.
no code implementations • 18 Apr 2021 • Darsh J Shah, Regina Barzilay
Communicating new research ideas involves highlighting similarities and differences with past work.
2 code implementations • 8 Apr 2021 • Darsh J Shah, Lili Yu, Tao Lei, Regina Barzilay
We present a method for generating comparative summaries that highlights similarities and contradictions in input documents.
1 code implementation • 22 Mar 2021 • Darsh J Shah, Lili Yu, Tao Lei, Regina Barzilay
We introduce \emph{Nutri-bullets}, a multi-document summarization task for health and nutrition.
1 code implementation • 22 Oct 2019 • Luu Anh Tuan, Darsh J Shah, Regina Barzilay
Automatic question generation can benefit many applications ranging from dialogue systems to reading comprehension.
3 code implementations • 30 Sep 2019 • Darsh J Shah, Tal Schuster, Regina Barzilay
This is a challenging constrained generation task, as the output must be consistent with the new information and fit into the rest of the existing document.
no code implementations • CL 2020 • Tal Schuster, Roei Schuster, Darsh J Shah, Regina Barzilay
Recent developments in neural language models (LMs) have raised concerns about their potential misuse for automatically spreading misinformation.
3 code implementations • IJCNLP 2019 • Tal Schuster, Darsh J Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay
Fact verification requires validating a claim in the context of evidence.
1 code implementation • ACL 2019 • Darsh J Shah, Raghav Gupta, Amir A Fayazi, Dilek Hakkani-Tur
Task-oriented dialog systems increasingly rely on deep learning-based slot filling models, usually needing extensive labeled training data for target domains.
1 code implementation • EMNLP 2018 • Jiang Guo, Darsh J Shah, Regina Barzilay
We propose a mixture-of-experts approach for unsupervised domain adaptation from multiple sources.
1 code implementation • EMNLP 2018 • Darsh J Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo, Preslav Nakov
We address the problem of detecting duplicate questions in forums, which is an important step towards automating the process of answering new questions.