---
title: "Raymond J. Mooney — author profile and papers in our library"
description: "Raymond J. Mooney, The University of Texas at Austin: 11 papers on Elamur Research (1996–2021), h-index 80 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/raymond-j-mooney/"
---
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# Raymond J. Mooney

Raymond J. Mooney has 11 papers in our library, in 1996–2021, most of them on [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/); often with [Yuk Wah Wong](https://md.research.elamur.ai/free/en/authors/yuk-wah-wong/), [Razvan Bunescu](https://md.research.elamur.ai/free/en/authors/razvan-bunescu/), [Chris Quirk](https://md.research.elamur.ai/free/en/authors/chris-quirk/). 2 of them are among the papers read by [Mova, the project](https://md.research.elamur.ai/free/en/projects/mova/).

11 papers in our library · 1996–2021

[OpenAlex](https://openalex.org/A5008715111) · [ORCID](https://orcid.org/0000-0002-4504-0490) · [**h-index 80**](https://openalex.org/authors/A5008715111) · [320 works](https://openalex.org/works?filter=author.id:A5008715111) · [30,505 citations](https://openalex.org/works?filter=author.id:A5008715111&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 11 works in our library](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/#papers) · [🔗 Cited 1,586 times in our library](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/cited-by/) · [12 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #761](https://md.research.elamur.ai/free/en/paper-stars/page/8/#star-761)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Raymond+J.+Mooney) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Raymond+J.+Mooney) · [dblp](https://dblp.org/search?q=Raymond+J.+Mooney) · [ACL Anthology](https://aclanthology.org/search/?q=Raymond+J.+Mooney)

## Affiliations

[🎓**The University of Texas at Austin** Austin · United States 1988–2025 · 240 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1985–1990 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/)

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.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 11 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 11 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 11 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 11 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 5 Research subjects and languages the work is about.[Semantic parsing & meaning representation · 5 works](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Machine translation · 3 works](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Lexical semantics & word embeddings · 1 work](https://md.research.elamur.ai/free/en/topics/lexical-semantics/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/)

💡 Concepts 7 Key ideas and methods explained on our concept pages.[Semantic parsing · 2 works](https://md.research.elamur.ai/free/en/concepts/semantic-parsing/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/concepts/information-extraction/) · [Knowledge representation and reasoning · 1 work](https://md.research.elamur.ai/free/en/concepts/knowledge-representation/) · [Inverted index · 1 work](https://md.research.elamur.ai/free/en/concepts/inverted-index/) · [Distributional semantics · 1 work](https://md.research.elamur.ai/free/en/concepts/distributional-semantics/) · [Lexical semantics · 1 work](https://md.research.elamur.ai/free/en/concepts/lexical-semantics/) · [Semantics · 1 work](https://md.research.elamur.ai/free/en/concepts/semantics/)

## Works by year

### 2020s

[**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/year/2021/)

### 2010s

[**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/year/2016/) · [**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/year/2015/) · [**2010** 1 paper](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/year/2010/)

### 2000s

[**2007** 3 papers](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/year/2007/) · [**2006** 2 papers](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/year/2006/) · [**2005** 1 paper](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/year/2005/)

### 1990s

[**1996** 1 paper](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/year/1996/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Shortest Path Dependency Kernel for Relation Extraction](https://md.research.elamur.ai/free/en/papers/bunescu-2005-shortest-path-dependency-kernel-relation/)** *(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](https://md.research.elamur.ai/free/en/papers/zelle-1996-learning-parse-database-queries-using/)** *(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](https://md.research.elamur.ai/free/en/papers/reisinger-2010-multi-prototype-vector-space-models/)** *(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](https://md.research.elamur.ai/free/en/papers/wong-2007-learning-synchronous-grammars-semantic-parsing/)** *(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](https://md.research.elamur.ai/free/en/papers/wong-2006-learning-semantic-parsing-statistical-machine/)** *(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](https://md.research.elamur.ai/free/en/papers/bunescu-2007-learning-extract-relations-web-minimal/)** *(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](https://md.research.elamur.ai/free/en/papers/kate-2006-string-kernels-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](https://md.research.elamur.ai/free/en/papers/quirk-2015-language-code-learning-semantic-parsers/)** *(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](https://md.research.elamur.ai/free/en/papers/wong-2007-generation-inverting-semantic-parser-that/)** *(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](https://md.research.elamur.ai/free/en/papers/beltagy-2016-representing-meaning-combination-logical-distributional/)** *(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](https://md.research.elamur.ai/free/en/papers/lal-2021-tellmewhy-dataset-answering-why-questions/)** *(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 ↗](https://doi.org/10.1109/iccv.2015.515) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Subhashini Venugopalan et al.*2015 · 1,441 citations*
2. **[A Shortest Path Dependency Kernel for Relation Extraction](https://md.research.elamur.ai/free/en/papers/bunescu-2005-shortest-path-dependency-kernel-relation/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Razvan Bunescu, Raymond Mooney*2005 · 1,175 citations*
3. [**Learning to Parse Database Queries Using Inductive Logic Programming AAAI 1996**John M. Zelle, Raymond J. Mooney*1996 · 996 citations*](https://md.research.elamur.ai/free/en/papers/zelle-1996-learning-parse-database-queries-using/)
4. **[Explanation-based learning: An alternative view ↗](https://doi.org/10.1007/bf00114116) Machine Learning · no summary yet**Gerald DeJong, Raymond Mooney*1986 · 968 citations*
5. **[YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition ↗](https://doi.org/10.1109/iccv.2013.337) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Sergio Guadarrama et al.*2013 · 541 citations*
6. **[Multi-Prototype Vector-Space Models of Word Meaning](https://md.research.elamur.ai/free/en/papers/reisinger-2010-multi-prototype-vector-space-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Joseph Reisinger, Raymond J. Mooney*2010 · 492 citations*
7. **[Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus](https://md.research.elamur.ai/free/en/papers/wong-2007-learning-synchronous-grammars-semantic-parsing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuk Wah Wong, Raymond Mooney*2007 · 467 citations*
8. **[Learning for Semantic Parsing with Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/wong-2006-learning-semantic-parsing-statistical-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yuk Wah Wong, Raymond Mooney*2006 · 373 citations*
9. **[Learning to Extract Relations from the Web using Minimal Supervision](https://md.research.elamur.ai/free/en/papers/bunescu-2007-learning-extract-relations-web-minimal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Razvan Bunescu, Raymond Mooney*2007 · 328 citations*
10. **[Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data ↗](https://doi.org/10.1109/cvpr.2016.8) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Lisa Anne Hendricks et al.*2016 · 313 citations*
11. **[Using String-Kernels for Learning Semantic Parsers](https://md.research.elamur.ai/free/en/papers/kate-2006-string-kernels-learning-semantic-parsers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rohit J. Kate, Raymond J. Mooney*2006 · 309 citations*
12. **[Learning Statistical Scripts with LSTM Recurrent Neural Networks ↗](https://doi.org/10.1609/aaai.v30i1.10347) AAAI 2016 · no summary yet**Karl Pichotta, Raymond J. Mooney*2016 · 230 citations*
13. **[Captioning Images with Diverse Objects ↗](https://doi.org/10.1109/cvpr.2017.130) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Subhashini Venugopalan et al.*2017 · 194 citations*
14. **[Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes](https://md.research.elamur.ai/free/en/papers/quirk-2015-language-code-learning-semantic-parsers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chris Quirk, Raymond Mooney, Michel Galley*2015 · 185 citations*
15. **[Semi-supervised graph clustering ↗](https://doi.org/10.1145/1102351.1102409) International Conference on Machine Learning · no summary yet**Brian Kulis et al.*2005 · 174 citations*
16. **[Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text ↗](https://aclanthology.org/D16-1204/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Subhashini Venugopalan et al.*2016 · 143 citations*
17. [**Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*Machine translation · 136 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-generation-inverting-semantic-parser-that/)
18. **[Using Sentence-Level LSTM Language Models for Script Inference ↗](https://aclanthology.org/P16-1027/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Karl Pichotta, Raymond J. Mooney*2016 · 95 citations*
19. **[Representing Meaning with a Combination of Logical and Distributional Models](https://md.research.elamur.ai/free/en/papers/beltagy-2016-representing-meaning-combination-logical-distributional/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**I. Beltagy, Stephen Roller, Pengxiang Cheng, et al.*2016 · 89 citations*
20. **[Learning Parse and Translation Decisions from Examples with Rich Context ↗](https://aclanthology.org/P97-1062/) 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics · no summary yet**Ulf Hermjakob, Raymond J. Mooney*1997 · 79 citations*
21. **[Learning to Update Natural Language Comments Based on Code Changes ↗](https://aclanthology.org/2020.acl-main.168/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Sheena Panthaplackel et al.*2020 · 78 citations*
22. [**TellMeWhy: A Dataset for Answering Why-Questions in Narratives**Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al.*English · 53 citations*](https://md.research.elamur.ai/free/en/papers/lal-2021-tellmewhy-dataset-answering-why-questions/)
23. **[Spoken language interaction with robots: Recommendations for future research ↗](https://doi.org/10.17615/v2v2-ha84) Carolina Digital Repository (University of North Carolina at Chapel Hill) · no summary yet**Raymond J. Mooney et al.*2025*

## Co-authors here

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

- [Yuk Wah Wong](https://md.research.elamur.ai/free/en/authors/yuk-wah-wong/) ×3
- [Razvan Bunescu](https://md.research.elamur.ai/free/en/authors/razvan-bunescu/) ×2
- [Chris Quirk](https://md.research.elamur.ai/free/en/authors/chris-quirk/)
- [Katrin Erk](https://md.research.elamur.ai/free/en/authors/katrin-erk/)
- [Michel Galley](https://md.research.elamur.ai/free/en/authors/michel-galley/)
- [Nathanael Chambers](https://md.research.elamur.ai/free/en/authors/nathanael-chambers/)
- [Niranjan Balasubramanian](https://md.research.elamur.ai/free/en/authors/niranjan-balasubramanian/)
- [Pengxiang Cheng](https://md.research.elamur.ai/free/en/authors/pengxiang-cheng/)
- [Stephen Roller](https://md.research.elamur.ai/free/en/authors/stephen-roller/)
- [Yash Kumar Lal](https://md.research.elamur.ai/free/en/authors/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)](https://md.research.elamur.ai/free/en/venues/acl/) ×6: [ACL 2015](https://md.research.elamur.ai/free/en/venues/acl/2015/), [ACL 2007](https://md.research.elamur.ai/free/en/venues/acl/2007/) ×2, [ACL 2006](https://md.research.elamur.ai/free/en/venues/acl/2006/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/) ×3: [NAACL 2010](https://md.research.elamur.ai/free/en/venues/naacl/2010/), [NAACL 2007](https://md.research.elamur.ai/free/en/venues/naacl/2007/), [NAACL 2006](https://md.research.elamur.ai/free/en/venues/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](https://md.research.elamur.ai/free/en/venues/cl/): [Computational Linguistics 2016](https://md.research.elamur.ai/free/en/venues/cl/2016/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2021](https://md.research.elamur.ai/free/en/venues/findings/2021/)
- [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/): [HLT 2005](https://md.research.elamur.ai/free/en/venues/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); [186 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/cited-by/).

Updated 2 November 2026