no code implementations • NAACL (TrustNLP) 2021 • Sawan Kumar, Kalpit Dixit, Kashif Shah
Many existing approaches for interpreting text classification models focus on providing importance scores for parts of the input text, such as words, but without a way to test or improve the interpretation method itself.
no code implementations • 28 Feb 2024 • Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen McKeown
We present NewsQs (news-cues), a dataset that provides question-answer pairs for multiple news documents.
no code implementations • 21 Mar 2023 • Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
Opinion summarization provides an important solution for summarizing opinions expressed among a large number of reviews.
no code implementations • WS 2020 • Monica Sunkara, Srikanth Ronanki, Kalpit Dixit, Sravan Bodapati, Katrin Kirchhoff
We also present techniques for domain and task specific adaptation by fine-tuning masked language models with medical domain data.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • ACL 2019 • Kalpit Dixit, Yaser Al-Onaizan
Relation Extraction is the task of identifying entity mention spans in raw text and then identifying relations between pairs of the entity mentions.
Ranked #1 on Relation Extraction on ACE 2005 (Sentence Encoder metric)