Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Shah, Darsh"'
Publikováno v:
Computational Linguistics, Vol 46, Iss 2, Pp 499-510 (2020)
Recent developments in neural language models (LMs) have raised concerns about their potential misuse for automatically spreading misinformation. In light of these concerns, several studies have proposed to detect machine-generated fake news by captu
Externí odkaz:
https://doaj.org/article/15e331f3e56845f5ba03d596c9e46bb4
Autor:
Shah, Darsh J.
This thesis focuses on developing summaries that present multiple view-points on issues of interest. Such capacity is important in many areas like medical studies, where articles may not agree with each other. While the automatic summarization method
Externí odkaz:
https://hdl.handle.net/1721.1/139900
The ubiquity of offensive and hateful content on online fora necessitates the need for automatic solutions that detect such content competently across target groups. In this paper we show that text classification models trained on large publicly avai
Externí odkaz:
http://arxiv.org/abs/2112.03858
Autor:
Chhatwal, Karanjot, Deighton, Alexander, Dhir, Abhay, Kumar, Varun Vijay, Titus-Glover, Sean, Shah, Darsh, Holt, Luke
Publikováno v:
In Future Healthcare Journal March 2024 11(1)
Autor:
Shah, Darsh J, Barzilay, Regina
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 paper with related work. In this work we model generating related work se
Externí odkaz:
http://arxiv.org/abs/2104.08668
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 lack of large parallel training data required for training typical summar
Externí odkaz:
http://arxiv.org/abs/2104.03465
Publikováno v:
AAAI 2021 Camera Ready
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 scientific studies. Furthermore, we propose a novel \emph{extract-compose} mode
Externí odkaz:
http://arxiv.org/abs/2103.11921
Autor:
Shah, Darsh J.(Darsh Jaidip)
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 35-37).
We propose a mixture-of-exper
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 35-37).
We propose a mixture-of-exper
Externí odkaz:
https://hdl.handle.net/1721.1/121741
Akademický článek
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Automatic question generation can benefit many applications ranging from dialogue systems to reading comprehension. While questions are often asked with respect to long documents, there are many challenges with modeling such long documents. Many exis
Externí odkaz:
http://arxiv.org/abs/1910.10274