🧑‍🔬 Raymond J. Mooney

🏛️ Affiliations

🎓The University of Texas at AustinAustin · United States1988–2025 · 240 paperscurrent🎓University of Illinois Urbana-ChampaignUrbana · United States1985–1990 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions 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

2020s

2010s

2000s

1990s

📄 Papers

The most cited first (OpenAlex and our library).

1. A Shortest Path Dependency Kernel for Relation Extraction (2005 · 1,175 citations)
   The paper tackles relation extraction: deciding whether, and how, two named entities in one sentence are related.
2. Learning to Parse Database Queries Using Inductive Logic Programming (1996 · 996 citations)
   The authors address the problem of automatically constructing a natural language interface to a database. An English question must be mapped directly onto an executable query. To this end, they use Chill, a system that frames acquiring a parser as searching for rules that govern a shift-reduce parser implemented in…
3. Multi-Prototype Vector-Space Models of Word Meaning (2010 · 492 citations)
   The paper addresses a core weakness of distributional semantics: representing each word type with one averaged context vector blurs its distinct uses, so an ambiguous word like club is pulled toward both bat and association.
4. Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus (2007 · 467 citations)
   Learned synchronous grammars had only been applied to semantic parsing for meaning languages without logical variables.
5. Learning for Semantic Parsing with Statistical Machine Translation (2006 · 373 citations)
   The authors address semantic parsing: a natural-language sentence must be transformed into a complete formal meaning representation (MR), which may have a deeply nested structure.
6. Learning to Extract Relations from the Web using Minimal Supervision (2007 · 328 citations)
   The paper addresses relation extraction (RE) when almost no labeled data exist. The only supervision is a few entity pairs known to hold or not hold a target binary relation, such as Google/YouTube for corporate acquisition. For each pair, a search engine collects web sentences that mention both entities. A positive…
7. Using String-Kernels for Learning Semantic Parsers (2006 · 309 citations)
   The paper addresses semantic parsing: converting natural-language sentences into formal, executable meaning representations (MRs).
8. Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes (2015 · 185 citations)
   The paper addresses natural-language programming: automatically turning a user's English description of an if-this-then-that rule into an executable program.
9. Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation (2007 · 136 citations)
   Generation from meaning representations (RoboCup coach advice and GeoQuery database queries) is treated as the inverse of semantic parsing.
10. Representing Meaning with a Combination of Logical and Distributional Models (2016 · 89 citations)
    NLP applications need more from semantics than any single representation offers. Logical forms handle sentence structure, negation and quantifiers, but they are binary and depend on hand-built lexicons. Distributional vectors capture graded similarity between words and phrases but lack structural detail. Beltagy et…
11. TellMeWhy: A Dataset for Answering Why-Questions in Narratives (2021 · 53 citations)
    TellMeWhy has 30,519 why-questions about the actions of characters in 9,636 five-sentence ROCStories, generated by templates from dependency parses («Why did {subject} {verb} {object}?») and answered by three crowd workers each, who start from a prompt «{subject} {verb} {object} because…», mark the sentences that…

All works

23 works of theirs in our library, the most cited first; 11 with a page here, the others link their original until we summarise them.

1. Sequence to Sequence — Video to Text ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetSubhashini Venugopalan et al.2015 · 1,441 citations
2. A Shortest Path Dependency Kernel for Relation ExtractionHuman Language Technology Conference (HLT)Razvan Bunescu, Raymond Mooney2005 · 1,175 citations
3. Learning to Parse Database Queries Using Inductive Logic ProgrammingAAAI 1996John M. Zelle, Raymond J. Mooney1996 · 996 citations
4. Explanation-based learning: An alternative view ↗Machine Learning · no summary yetGerald DeJong, Raymond Mooney1986 · 968 citations
5. YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetSergio Guadarrama et al.2013 · 541 citations
6. Multi-Prototype Vector-Space Models of Word MeaningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Joseph Reisinger, Raymond J. Mooney2010 · 492 citations
7. Learning Synchronous Grammars for Semantic Parsing with Lambda CalculusAnnual Meeting of the Association for Computational Linguistics (ACL)Yuk Wah Wong, Raymond Mooney2007 · 467 citations
8. Learning for Semantic Parsing with Statistical Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yuk Wah Wong, Raymond Mooney2006 · 373 citations
9. Learning to Extract Relations from the Web using Minimal SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Razvan Bunescu, Raymond Mooney2007 · 328 citations
10. Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLisa Anne Hendricks et al.2016 · 313 citations
11. Using String-Kernels for Learning Semantic ParsersAnnual Meeting of the Association for Computational Linguistics (ACL)Rohit J. Kate, Raymond J. Mooney2006 · 309 citations
12. Learning Statistical Scripts with LSTM Recurrent Neural Networks ↗AAAI 2016 · no summary yetKarl Pichotta, Raymond J. Mooney2016 · 230 citations
13. Captioning Images with Diverse Objects ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSubhashini Venugopalan et al.2017 · 194 citations
14. Language to Code: Learning Semantic Parsers for If-This-Then-That RecipesAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Quirk, Raymond Mooney, Michel Galley2015 · 185 citations
15. Semi-supervised graph clustering ↗International Conference on Machine Learning · no summary yetBrian Kulis et al.2005 · 174 citations
16. Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetSubhashini Venugopalan et al.2016 · 143 citations
17. Generation by Inverting a Semantic Parser that Uses Statistical Machine TranslationYuk Wah Wong, Raymond MooneyMachine translation · 136 citations
18. Using Sentence-Level LSTM Language Models for Script Inference ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetKarl Pichotta, Raymond J. Mooney2016 · 95 citations
19. Representing Meaning with a Combination of Logical and Distributional ModelsComputational LinguisticsI. Beltagy, Stephen Roller, Pengxiang Cheng, et al.2016 · 89 citations
20. Learning Parse and Translation Decisions from Examples with Rich Context ↗35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics · no summary yetUlf Hermjakob, Raymond J. Mooney1997 · 79 citations
21. Learning to Update Natural Language Comments Based on Code Changes ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetSheena Panthaplackel et al.2020 · 78 citations
22. TellMeWhy: A Dataset for Answering Why-Questions in NarrativesYash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al.English · 53 citations
23. Spoken language interaction with robots: Recommendations for future research ↗Carolina Digital Repository (University of North Carolina at Chapel Hill) · no summary yetRaymond J. Mooney et al.2025

🤝 Co-authors here

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

• Yuk Wah Wong ×3
• Razvan Bunescu ×2
• Chris Quirk
• Katrin Erk
• Michel Galley
• Nathanael Chambers
• Niranjan Balasubramanian
• Stephen Roller
• Yash Kumar Lal

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL) ×6: ACL 2015, ACL 2007 ×2, ACL 2006
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) ×3: NAACL 2010, NAACL 2007, NAACL 2006
• AAAI 2016 ×2
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
• IEEE International Conference on Computer Vision (ICCV) ×2
• 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics
• Computational Linguistics: Computational Linguistics 2016
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2021
• Human Language Technology Conference (HLT): HLT 2005
• Carolina Digital Repository (University of North Carolina at Chapel Hill)
• International Conference on Machine Learning
• Machine Learning

🔗 Cited by

Papers of our library cite their works 1,586 times (of the 149,439 papers whose bibliographies we read); 170 citing papers with a page here →.

Updated 30 October 2026

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