---
title: "Who cites Claudia Leacock"
description: "543 papers of the Elamur Research library cite the works of Claudia Leacock, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/claudia-leacock/cited-by/"
---
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# Who cites Claudia Leacock

559 citations of their works from 543 papers of our library (of the 140,884 whose bibliographies we read) · 47 with a page here, the most cited first · [← Claudia Leacock](https://md.research.elamur.ai/free/en/authors/claudia-leacock/)

1. [**Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations**Ranjay Krishna, Yuke Zhu, Oliver Groth, et al.*2016 · 5,747 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2016-visual-genome-connecting-language-vision/)
2. [**Deep Contextualized Word Representations**Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.*2018 · 3,240 citations*](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/)
3. [**Automatic Evaluation of Topic Coherence**David Newman, Jey Han Lau, Karl Grieser, et al.*2010 · 823 citations*](https://md.research.elamur.ai/free/en/papers/newman-2010-automatic-evaluation-topic-coherence/)
4. [**Introduction to the Special Issue on Word Sense Disambiguation: The State of the Art**Nancy Ide, Jean Véronis*1998 · 740 citations*](https://md.research.elamur.ai/free/en/papers/ide-1998-introduction-special-issue-word-sense/)
5. [**Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling**Rada Mihalcea*2005 · 582 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2005-unsupervised-large-vocabulary-word-sense/)
6. [**From Frequency to Meaning: Vector Space Models of Semantics**Peter D. Turney, Patrick Pantel*2010 · 554 citations*](https://md.research.elamur.ai/free/en/papers/turney-2010-frequency-meaning-vector-space-models/)
7. [**Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach**Hwee Tou Ng, Hian Beng Lee*1996 · 502 citations*](https://md.research.elamur.ai/free/en/papers/ng-1996-integrating-multiple-knowledge-sources-disambiguate/)
8. [**Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison**Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli*2017 · 483 citations*](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/)
9. [**Learning Multilingual Subjective Language via Cross-Lingual Projections**Rada Mihalcea, Carmen Banea, Janyce Wiebe*2007 · 482 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2007-learning-multilingual-subjective-language-cross/)
10. [**Finding Predominant Word Senses in Untagged Text**Diana McCarthy, Rob Koeling, Julie Weeds, et al.*2004 · 443 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2004-finding-predominant-word-senses-untagged/)
11. [**Massively Multilingual Word Embeddings**Waleed Ammar, George Mulcaire, Yulia Tsvetkov, et al.*2016 · 399 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2016-massively-multilingual-word-embeddings/)
12. [**Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks**Rion Snow, Brendan O'Connor, Daniel Jurafsky, et al.*2008 · 390 citations*](https://md.research.elamur.ai/free/en/papers/snow-2008-cheap-fast-but-is-it/)
13. [**Random Walks for Knowledge-Based Word Sense Disambiguation**Eneko Agirre, Oier López de Lacalle, Aitor Soroa*2014 · 359 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2014-random-walks-knowledge-based-word/)
14. [**A Unified Model for Word Sense Representation and Disambiguation**Xinxiong Chen, Zhiyuan Liu, Maosong Sun*2014 · 358 citations*](https://md.research.elamur.ai/free/en/papers/chen-2014-unified-model-word-sense-representation/)
15. [**Using a Semantic Concordance for Sense Identification**George A. Miller, Martin Chodorow, Shari Landes, et al.*1994 · 352 citations*](https://md.research.elamur.ai/free/en/papers/miller-1994-semantic-concordance-sense-identification/)
16. [**SensEmbed: Learning Sense Embeddings for Word and Relational Similarity**Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli*2015 · 348 citations*](https://md.research.elamur.ai/free/en/papers/iacobacci-2015-sensembed-learning-sense-embeddings-word/)
17. [**Visualizing and Measuring the Geometry of BERT**Andy Coenen, Emily Reif, Ann Yuan, et al.*2019 · 338 citations*](https://md.research.elamur.ai/free/en/papers/coenen-2019-visualizing-measuring-geometry-bert/)
18. [**SemEval-2007 Task 10: English Lexical Substitution Task**Diana McCarthy, Roberto Navigli*2007 · 323 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2007-semeval-2007-task-10-english/)
19. [**Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger**Massimiliano Ciaramita, Yasemin Altun*2006 · 295 citations*](https://md.research.elamur.ai/free/en/papers/ciaramita-2006-broad-coverage-sense-disambiguation-information/)
20. [**FlauBERT: Unsupervised Language Model Pre-training for French**Hang Le, Loïc Vial, Jibril Frej, et al.*2019 · 293 citations*](https://md.research.elamur.ai/free/en/papers/le-2019-flaubert-unsupervised-language-model-pre/)
21. [**A Survey of Paraphrasing and Textual Entailment Methods**Ion Androutsopoulos, Prodromos Malakasiotis*2009 · 280 citations*](https://md.research.elamur.ai/free/en/papers/androutsopoulos-2009-survey-paraphrasing-textual-entailment-methods/)
22. [**PageRank on Semantic Networks, with Application to Word Sense Disambiguation**Rada Mihalcea, Paul Tarau, Elizabeth Figa*2004 · 248 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2004-pagerank-semantic-networks-application-word/)
23. [**Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders**Terra Blevins, Luke Zettlemoyer*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/)
24. [**SemEval-2007 Task 07: Coarse-Grained English All-Words Task**Roberto Navigli, Kenneth C. Litkowski, Orin Hargraves*2007 · 226 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2007-semeval-2007-task-07-coarse/)
25. [**BabelNet: Building a Very Large Multilingual Semantic Network**Roberto Navigli, Simone Paolo Ponzetto*2010 · 201 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2010-babelnet-building-very-large-multilingual/)
26. [**Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity**Julie Weeds, David Weir*2005 · 198 citations*](https://md.research.elamur.ai/free/en/papers/weeds-2005-co-occurrence-retrieval-flexible-framework/)
27. [**Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation**Daniel Loureiro, Alípio Jorge*2019 · 189 citations*](https://md.research.elamur.ai/free/en/papers/loureiro-2019-language-modelling-makes-sense-propagating/)
28. [**Entity Linking meets Word Sense Disambiguation: a Unified Approach**Andrea Moro, Alessandro Raganato, Roberto Navigli*2014 · 188 citations*](https://md.research.elamur.ai/free/en/papers/moro-2014-entity-linking-meets-word-sense/)
29. [**Graph Connectivity Measures for Unsupervised Word Sense Disambiguation**Roberto Navigli, Mirella Lapata*2007 · 168 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2007-graph-connectivity-measures-unsupervised-word/)
30. [**Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut**Nathan Schneider, Emily Danchik, Chris Dyer, et al.*2014 · 159 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2014-discriminative-lexical-semantic-segmentation-gaps/)
31. [**A Perspective on Word Sense Disambiguation Methods and Their Evaluation**Philip Resnik, David Yarowsky*1997 · 151 citations*](https://md.research.elamur.ai/free/en/papers/resnik-1997-perspective-word-sense-disambiguation-methods/)
32. [**Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches**Shane Storks, Qiaozi Gao, Joyce Y. Chai*2019 · 134 citations*](https://md.research.elamur.ai/free/en/papers/storks-2019-recent-advances-natural-language-inference/)
33. [**Comprehensive Annotation of Multiword Expressions in a Social Web Corpus**Nathan Schneider, Spencer Onuffer, Nora Kazour, et al.*2014 · 120 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2014-comprehensive-annotation-multiword-expressions-social/)
34. [**SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)**Nathan Schneider, Dirk Hovy, Anders Johannsen, et al.*2016 · 100 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2016-semeval-2016-task-10-detecting/)
35. [**Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»**Michele Bevilacqua, Marco Maru, Roberto Navigli*2020 · 90 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-generationary/)
36. [**Using an Error-Annotated Learner Corpus to Develop an ESL/EFL Error Correction System**Na-Rae Han, Joel Tetreault, Soo-Hwa Lee, et al.*2010 · 62 citations*](https://md.research.elamur.ai/free/en/papers/han-2010-error-annotated-learner-corpus-develop/)
37. [**Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis**Mario Giulianelli, Iris Luden, Raquel Fernandez, et al.*2023 · 40 citations*](https://md.research.elamur.ai/free/en/papers/giulianelli-2023-definition-generation-senses/)
38. [**Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study**Nathan Schneider, Behrang Mohit, Kemal Oflazer, et al.*2012 · 24 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2012-coarse-lexical-semantic-annotation-supersenses/)
39. [**Exemplification Modeling: Can You Give Me an Example, Please?**Edoardo Barba, Luigi Procopio, Caterina Lacerra*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/barba-2021-exemplification-modeling/)
40. [**Do Large Language Models Understand Word Senses?**Domenico Meconi, Simone Stirpe, Federico Martelli*2025 · 18 citations*](https://md.research.elamur.ai/free/en/papers/meconi-2025-llms-word-senses/)
41. [**MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation**Joshua Tanner, Jacob Hoffman*2023 · 12 citations*](https://md.research.elamur.ai/free/en/papers/tanner-2023-mwe-as-wsd-solving-multiword/)
42. [**DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation**Federico Martelli, Stefano Perrella, Niccolò Campolungo, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/martelli-2025-dibimt-gold-evaluation-benchmark-studying/)
43. [**WordNet—Wikipedia—Wiktionary: Construction of a Three-way Alignment**Tristan Miller, Iryna Gurevych*2014 · 11 citations*](https://md.research.elamur.ai/free/en/papers/miller-2014-wordnet-wikipedia-wiktionary/)
44. [**In the LLM era, Word Sense Induction remains unsolved**Anna Mosolova, Marie Candito, Carlos Ramisch*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/mosolova-2025-wsi-unsolved/)
45. [**A guide to the dataset explosion in QA, NLI, and commonsense reasoning**Anna Rogers, Anna Rumshisky*2020 · 4 citations*](https://md.research.elamur.ai/free/en/papers/rogers-2020-guide-dataset-explosion-qa-nli/)
46. [**Creating a Hybrid Rule and Neural Network Based Semantic Tagger Using Silver Standard Data: The PyMUSAS Framework for Multilingual Semantic Annotation**Andrew Moore, Paul Rayson, Dawn Archer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/moore-2026-creating-hybrid-rule-neural-network/)
47. [**A Word Selection Model Based on Lexical Semantic Knowledge in English Generation**Yi-Dong Chen, Tang-Qiu Li, Xu-Ling Zheng*2003*](https://md.research.elamur.ai/free/en/papers/chen-2003-word-selection-model-based-lexical/)

496 more citing papers of our library have no page here yet.

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