🧑‍🔬 Jayant Krishnamurthy

🏛️ Affiliations

🏢MicrosoftRedmond · United States2021–2023 · 2 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2013–2018 · 10 papers🔬Allen Institute for Artificial IntelligenceSeattle · United States2015–2017 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World (2013 · 207 citations)
   This paper addresses grounded language acquisition: connecting natural-language statements to the objects they describe when the world is available only as raw perceptual features, not as a ready-made logical database.
2. Weakly Supervised Training of Semantic Parsers (2012 · 70 citations)
   Semantic parsers usually need sentences hand-annotated with logical forms, which keeps them confined to narrow domains.
3. Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary (2015 · 41 citations)
   Semantic parsers for Freebase usually map language onto a small, hand-built set of formal predicates. This limits coverage and erases fine distinctions: Freebase has no concept for "front-runner", for example. Krishnamurthy and Mitchell let each word define its own predicate while still grounding meaning in Freebase…

All works

8 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Learning a Neural Semantic Parser from User Feedback ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSrinivasan Iyer et al.2017 · 472 citations
2. Neural Semantic Parsing with Type Constraints for Semi-Structured Tables ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetJayant Krishnamurthy, Pradeep Dasigi, Matt Gardner2017 · 337 citations
3. Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical WorldTransactions of the Association for Computational Linguistics (TACL)Jayant Krishnamurthy, Thomas Kollar2013 · 207 citations
4. Instructable Intelligent Personal Agent ↗AAAI 2016 · no summary yetAmos Azaria, Jayant Krishnamurthy, Tom M. Mitchell2016 · 82 citations
5. Weakly Supervised Training of Semantic ParsersConference on Empirical Methods in Natural Language Processing (EMNLP)Jayant Krishnamurthy, Tom Mitchell2012 · 70 citations
6. Learning a Compositional Semantics for Freebase with an Open Predicate VocabularyTransactions of the Association for Computational Linguistics (TACL)Jayant Krishnamurthy, Tom M. Mitchell2015 · 41 citations
7. Value-Agnostic Conversational Semantic Parsing ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetEmmanouil Antonios Platanios et al.2021 · 23 citations
8. The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetHao Fang et al.2023 · 6 citations

🤝 Co-authors here

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

• Tom M. Mitchell ×2
• Thomas Kollar

Venues

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

• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2012
• Transactions of the Association for Computational Linguistics (TACL) ×2: Transactions of the Association for Computational Linguistics (TACL) 2015, Transactions of the Association for Computational Linguistics (TACL) 2013
• AAAI 2016
• Findings of the Association for Computational Linguistics: ACL 2023
• Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 415 times (of the 149,439 papers whose bibliographies we read); 51 citing papers with a page here →.

Updated 30 October 2026

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