---
title: "The University of Texas at Austin — works"
description: "51 works by researchers of The University of Texas at Austin in our library, the most cited first."
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---
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# Works of The University of Texas at Austin

51 works · the most cited first · [← The University of Texas at Austin](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/)

1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python**Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.*2019 · 38,317 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/)
2. [**Equality of Opportunity in Supervised Learning**Moritz Hardt, Eric Price, Nathan Srebro*2016 · 2,224 citations*](https://md.research.elamur.ai/free/en/papers/hardt-2016-equality-opportunity-supervised-learning/)
3. [**A Shortest Path Dependency Kernel for Relation Extraction**Razvan Bunescu, Raymond Mooney*2005 · 1,173 citations*](https://md.research.elamur.ai/free/en/papers/bunescu-2005-shortest-path-dependency-kernel-relation/)
4. [**Using Encyclopedic Knowledge for Named entity Disambiguation**Razvan Bunescu, Marius Paşca*2006 · 978 citations*](https://md.research.elamur.ai/free/en/papers/bunescu-2006-encyclopedic-knowledge-named-entity-disambiguation/)
5. [**Collecting Highly Parallel Data for Paraphrase Evaluation**David Chen, William Dolan*2011 · 926 citations*](https://md.research.elamur.ai/free/en/papers/chen-2011-collecting-highly-parallel-data-paraphrase/)
6. [**Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization**Dave Van Veen, Cara Van Uden, Louis Blankemeier, et al.*2023 · 925 citations*](https://md.research.elamur.ai/free/en/papers/veen-2023-adapted-large-language-models-outperform/)
7. [**A Structured Vector Space Model for Word Meaning in Context**Katrin Erk, Sebastian Padó*2008 · 508 citations*](https://md.research.elamur.ai/free/en/papers/erk-2008-structured-vector-space-model-word/)
8. [**Multi-Prototype Vector-Space Models of Word Meaning**Joseph Reisinger, Raymond J. Mooney*2010 · 489 citations*](https://md.research.elamur.ai/free/en/papers/reisinger-2010-multi-prototype-vector-space-models/)
9. [**Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus**Yuk Wah Wong, Raymond Mooney*2007 · 464 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-learning-synchronous-grammars-semantic-parsing/)
10. [**Distributional Semantics in Technicolor**Elia Bruni, Gemma Boleda, Marco Baroni, et al.*2012 · 459 citations*](https://md.research.elamur.ai/free/en/papers/bruni-2012-distributional-semantics-technicolor/)
11. [**Discourse-Aware Neural Extractive Text Summarization**Jiacheng Xu, Zhe Gan, Yu Cheng, et al.*2019 · 382 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/)
12. [**Learning for Semantic Parsing with Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*2006 · 370 citations*](https://md.research.elamur.ai/free/en/papers/wong-2006-learning-semantic-parsing-statistical-machine/)
13. [**Modelling Context with User Embeddings for Sarcasm Detection in Social Media**Silvio Amir, Byron C. Wallace, Hao Lyu, et al.*2016 · 349 citations*](https://md.research.elamur.ai/free/en/papers/amir-2016-modelling-context-user-embeddings-sarcasm/)
14. [**Learning Dense Representations for Entity Retrieval**Daniel Gillick, Sayali Kulkarni, Larry Lansing, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2019-learning-dense-representations-entity-retrieval/)
15. [**A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature**Benjamin Nye, Junyi Jessy Li, Roma Patel, et al.*2018 · 293 citations*](https://md.research.elamur.ai/free/en/papers/nye-2018-corpus-multi-level-annotations-patients/)
16. [**A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification**Ye Zhang, Byron Wallace*2017 · 254 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2017-sensitivity-analysis-practitioners-guide-convolutional/)
17. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
18. [**Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming**Pascal Denis, Jason Baldridge*2007 · 224 citations*](https://md.research.elamur.ai/free/en/papers/denis-2007-joint-determination-anaphoricity-coreference-resolution/)
19. [**Inclusive yet Selective: Supervised Distributional Hypernymy Detection**Stephen Roller, Katrin Erk, Gemma Boleda*2014 · 217 citations*](https://md.research.elamur.ai/free/en/papers/roller-2014-inclusive-yet-selective-supervised-distributional/)
20. [**Annotating and Modeling Fine-grained Factuality in Summarization**Tanya Goyal, Greg Durrett*2021 · 215 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2021-annotating-modeling-fine-grained-factuality/)
21. [**XOR QA: Cross-lingual Open-Retrieval Question Answering**Akari Asai, Jungo Kasai, Jonathan Clark, et al.*2021 · 206 citations*](https://md.research.elamur.ai/free/en/papers/asai-2021-xor-qa-cross-lingual-open/)
22. [**Entities as Experts: Sparse Memory Access with Entity Supervision**Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, et al.*2020 · 205 citations*](https://md.research.elamur.ai/free/en/papers/fevry-2020-entities-as-experts-sparse-memory/)
23. [**LLM+P: Empowering Large Language Models with Optimal Planning Proficiency**Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.*2023 · 204 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-llm-p-empowering-large-language/)
24. [**Evaluating Factuality in Generation with Dependency-level Entailment**Tanya Goyal, Greg Durrett*2020 · 201 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2020-evaluating-factuality-generation-dependency-level/)
25. [**Discourse Relations and Defeasible Knowledge**Alex Lascarides, Nicholas Asher*1991 · 177 citations*](https://md.research.elamur.ai/free/en/papers/lascarides-1991-discourse-relations-defeasible-knowledge/)
26. [**Specialized Models and Ranking for Coreference Resolution**Pascal Denis, Jason Baldridge*2008 · 171 citations*](https://md.research.elamur.ai/free/en/papers/denis-2008-specialized-models-ranking-coreference-resolution/)
27. [**Neural Syntactic Preordering for Controlled Paraphrase Generation**Tanya Goyal, Greg Durrett*2020 · 167 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2020-neural-syntactic-preordering-controlled-paraphrase/)
28. [**MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents**Liyan Tang, Philippe Laban, Greg Durrett*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-minicheck-efficient-fact-checking-llms/)
29. [**Paragraph-level Simplification of Medical Texts**Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.*2021 · 139 citations*](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/)
30. [**Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*2007 · 134 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-generation-inverting-semantic-parser-that/)
31. [**To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning**Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.*2024 · 133 citations*](https://md.research.elamur.ai/free/en/papers/sprague-2024-cot-cot-chain-thought-helps/)
32. [**Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors**Liyan Tang, Tanya Goyal, Alex Fabbri, et al.*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-understanding-factual-errors-summarization-errors/)
33. [**A Taxonomy for English Nouns and Verbs**Robert A. Amsler*1981 · 115 citations*](https://md.research.elamur.ai/free/en/papers/amsler-1981-taxonomy-english-nouns-verbs/)
34. [**RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation**Fangyuan Xu, Weijia Shi, Eunsol Choi*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-recomp-improving-retrieval-augmented-lms/)
35. [**Bilingual FrameNet Dictionaries for Machine Translation**Hans C. Boas*2002 · 106 citations*](https://md.research.elamur.ai/free/en/papers/boas-2002-bilingual-framenet-dictionaries-machine-translation/)
36. [**Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction**Zhanming Jie, Jierui Li, Wei Lu*2022 · 102 citations*](https://md.research.elamur.ai/free/en/papers/jie-2022-learning-reason-deductively-math-word/)
37. [**Inquisitive Question Generation for High Level Text Comprehension**Wei-Jen Ko, Te-yuan Chen, Yiyan Huang, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/ko-2020-inquisitive-question-generation-high-level/)
38. [**TellMeWhy: A Dataset for Answering Why-Questions in Narratives**Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al.*2021 · 53 citations*](https://md.research.elamur.ai/free/en/papers/lal-2021-tellmewhy-dataset-answering-why-questions/)
39. [**Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts**Taesun Moon, Jason Baldridge*2007 · 32 citations*](https://md.research.elamur.ai/free/en/papers/moon-2007-part-speech-tagging-middle-english/)
40. [**Where Are We in Discourse Relation Recognition?**Katherine Atwell, Junyi Jessy Li, Malihe Alikhani*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/atwell-2021-where-are-we-discourse-relation/)
41. [**Assessing Discourse Relations in Language Generation from GPT-2**Wei-Jen Ko, Junyi Jessy Li*2020 · 30 citations*](https://md.research.elamur.ai/free/en/papers/ko-2020-assessing-discourse-relations-language-generation/)
42. [**TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages**Anirudh Srinivasan, Eunsol Choi*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/srinivasan-2022-tydip-dataset-politeness-classification-nine/)
43. [**MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response**Zihao Deng, Yinghao Ma, Yudong Liu, et al.*2024 · 27 citations*](https://md.research.elamur.ai/free/en/papers/deng-2024-musilingo-bridging-music-text-pre/)
44. [**Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion**Wei-Jen Ko, Yating Wu, Cutter Dalton, et al.*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/ko-2023-discourse-analysis-questions-answers-parsing/)
45. [**QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing**Yating Wu, Ritika Mangla, Greg Durrett, et al.*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-qudeval-evaluation-questions-under-discussion/)
46. [**Elaborative Simplification as Implicit Questions Under Discussion**Yating Wu, William Sheffield, Kyle Mahowald, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-elaborative-simplification-as-implicit-questions/)
47. [**Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions**Sasha Boguraev, Christopher Potts, Kyle Mahowald*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/boguraev-2025-causal-interventions-reveal-shared-structure/)
48. [**Bridging the Socioeconomic Gap in Education: A Hybrid AI and Human Annotation Approach**Nahed Abdelgaber, Labiba Jahan, Arham Vinit Doshi, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/abdelgaber-2025-bridging-socioeconomic-gap-education-hybrid/)
49. [**Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/)
50. [**From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media**Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ryskina-2026-sunblock-softblock-analyzing-correlates-neology/)
51. [**Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs**William Sheffield, Kanishka Misra, Valentina Pyatkin, et al.*2025*](https://md.research.elamur.ai/free/en/papers/sheffield-2025-is-it-textit-just-semantics/)
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