Search Results for author: Darsh J Shah

Found 10 papers, 8 papers with code

Generating Related Work

no code implementations18 Apr 2021 Darsh J Shah, Regina Barzilay

Communicating new research ideas involves highlighting similarities and differences with past work.

Document Summarization Multi-Document Summarization

Nutribullets Hybrid: Multi-document Health Summarization

2 code implementations8 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.

Language Modelling Text Infilling

Capturing Greater Context for Question Generation

1 code implementation22 Oct 2019 Luu Anh Tuan, Darsh J Shah, Regina Barzilay

Automatic question generation can benefit many applications ranging from dialogue systems to reading comprehension.

Question Answering Question Generation +1

Automatic Fact-guided Sentence Modification

3 code implementations30 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.

Fact Checking

The Limitations of Stylometry for Detecting Machine-Generated Fake News

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.

Fake News Detection Language Modelling +1

Robust Zero-Shot Cross-Domain Slot Filling with Example Values

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.

Zero-shot Slot Filling

Adversarial Domain Adaptation for Duplicate Question Detection

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.

Domain Adaptation Question Similarity

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