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Chaitanya Shivade

Chaitanya Shivade has 2 papers in our library, in 2018–2019, most of them on Question answering, Evaluation & benchmarks, Reasoning; often with Alexey Romanov, Asma Ben Abacha, Dina Demner-Fushman.

2 papers in our library · 2018–2019

OpenAlex · ORCID · Wikidata · h-index 14 · 51 works · 1,414 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 199 times in our library · ⭐ Paper Stars ranking: #3278

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓The Ohio State UniversityColumbus · United States2010–2016 · 12 papersEducation 2010–2016Employment 2011–2016🔬IBM Research - AlmadenSan Jose · United States2016–2020 · 10 papersEmployment 2016–2019🏢AmazonSeattle · United States2019–2025 · 7 papersEmployment since 2019🏢IBMArmonk · United States2018–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksBiochemistry, Genetics and Molecular Biology · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksMolecular Biology · 2 works

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 1 workEvaluation & benchmarks · 1 workQuestion answering · 1 work

 Works by year

2010s

20191 paperOverview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering20181 paperLessons from Natural Language Inference in the Clinical Domain

 Papers

The most cited first (OpenAlex and our library).

  1. Lessons from Natural Language Inference in the Clinical Domain (2018 · 348 citations)
    Neural NLI models perform well on open-domain benchmarks such as SNLI, but they generalize poorly to specialized fields where labeled data is scarce and reasoning depends on expert knowledge.
  2. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering (2019 · 179 citations)
    Textual inference and question entailment have had relatively little attention in medicine, even though both could help health question-answering systems choose better answers.

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 199 times (of the 141,840 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

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