---
title: "Who cites WordNet: A Lexical Database for English"
description: "2,080 papers of the Elamur Research library cite «WordNet: A Lexical Database for English», found in their bibliographies · page 1 of 2 · 1–100; the most…"
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---
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# Who cites «WordNet: A Lexical Database for English»

2,080 papers of our library cite it (of the 140,884 whose bibliographies we read) · 118 with a page here, the most cited first · page 1 of 2 · 1–100 · [← the paper](https://md.research.elamur.ai/free/en/papers/miller-1994-wordnet/)

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2. [**A Survey of Large Language Models**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,847 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/)
3. [**Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification**Peng Zhou, Wei Shi, Jun Tian, et al.*2016 · 2,216 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2016-attention-based-bidirectional-long-short/)
4. [**SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems**Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.*2019 · 2,187 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-superglue-stickier-benchmark-general-purpose/)
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6. [**Microsoft COCO Captions: Data Collection and Evaluation Server**Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.*2015 · 1,859 citations*](https://md.research.elamur.ai/free/en/papers/chen-2015-microsoft-coco-captions-data-collection/)
7. [**Improving Word Representations via Global Context and Multiple Word Prototypes**Eric Huang, Richard Socher, Christopher Manning, et al.*2012 · 1,349 citations*](https://md.research.elamur.ai/free/en/papers/huang-2012-improving-word-representations-global-context/)
8. [**COMET: Commonsense Transformers for Automatic Knowledge Graph Construction**Antoine Bosselut, Hannah Rashkin, Maarten Sap, et al.*2019 · 1,282 citations*](https://md.research.elamur.ai/free/en/papers/bosselut-2019-comet-commonsense-transformers-automatic-knowledge/)
9. [**ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs**Wenpeng Yin, Hinrich Schütze, Bing Xiang, et al.*2016 · 1,048 citations*](https://md.research.elamur.ai/free/en/papers/yin-2016-abcnn-attention-based-convolutional-neural/)
10. [**Better Word Representations with Recursive Neural Networks for Morphology**Thang Luong, Richard Socher, Christopher Manning*2013 · 1,017 citations*](https://md.research.elamur.ai/free/en/papers/luong-2013-better-word-representations-recursive-neural/)
11. [**A Survey of Data Augmentation Approaches for NLP**Steven Y. Feng, Varun Gangal, Jason Wei, et al.*2021 · 935 citations*](https://md.research.elamur.ai/free/en/papers/feng-2021-survey-data-augmentation-approaches-nlp/)
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14. [**Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations**Sosuke Kobayashi*2018 · 804 citations*](https://md.research.elamur.ai/free/en/papers/kobayashi-2018-contextual-augmentation-data-augmentation-words/)
15. [**SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2015 · 758 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/)
16. [**EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks**Jason Wei, Kai Zou*2019 · 750 citations*](https://md.research.elamur.ai/free/en/papers/wei-2019-eda-easy-data-augmentation-techniques/)
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23. [**TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction**Adrien Bougouin, Florian Boudin, Béatrice Daille*2013 · 374 citations*](https://md.research.elamur.ai/free/en/papers/bougouin-2013-topicrank-graph-based-topic-ranking/)
24. [**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/)
25. [**Query2doc: Query Expansion with Large Language Models**Liang Wang, Nan Yang, Furu Wei*2023 · 353 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-query2doc-query-expansion-large-language/)
26. [**Generating Natural Questions About an Image**Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, et al.*2016 · 339 citations*](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2016-generating-natural-questions-about-image/)
27. [**Word-level Textual Adversarial Attacking as Combinatorial Optimization**Yuan Zang, Fanchao Qi, Chenghao Yang, et al.*2020 · 338 citations*](https://md.research.elamur.ai/free/en/papers/zang-2020-word-level-textual-adversarial-attacking/)
28. [**Learning Semantic Hierarchies via Word Embeddings**Ruiji Fu, Jiang Guo, Bing Qin, et al.*2014 · 327 citations*](https://md.research.elamur.ai/free/en/papers/fu-2014-learning-semantic-hierarchies-word-embeddings/)
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30. [**SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity**Daniela Gerz, Ivan Vulić, Felix Hill, et al.*2016 · 315 citations*](https://md.research.elamur.ai/free/en/papers/gerz-2016-simverb-3500-large-scale-evaluation/)
31. [**AugGPT: Leveraging ChatGPT for Text Data Augmentation**Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li*2023 · 302 citations*](https://md.research.elamur.ai/free/en/papers/dai-2023-auggpt-leveraging-chatgpt-text-data/)
32. [**Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection**Ruty Rinott, Lena Dankin, Carlos Alzate Perez, et al.*2015 · 296 citations*](https://md.research.elamur.ai/free/en/papers/rinott-2015-show-me-your-evidence-automatic/)
33. [**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/)
34. [**emrQA: A Large Corpus for Question Answering on Electronic Medical Records**Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.*2018 · 285 citations*](https://md.research.elamur.ai/free/en/papers/pampari-2018-emrqa-large-corpus-question-answering/)
35. [**Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition**Dipanjan Das, Noah A. Smith*2009 · 276 citations*](https://md.research.elamur.ai/free/en/papers/das-2009-paraphrase-identification-as-probabilistic-quasi/)
36. [**Context Dependent Claim Detection**Ran Levy, Yonatan Bilu, Daniel Hershcovich, et al.*2014 · 268 citations*](https://md.research.elamur.ai/free/en/papers/levy-2014-context-dependent-claim-detection/)
37. [**Reasoning With Neural Tensor Networks for Knowledge Base Completion**Richard Socher, Danqi Chen, Christopher D. Manning, et al.*2013 · 254 citations*](https://md.research.elamur.ai/free/en/papers/socher-2013-reasoning-neural-tensor-networks-knowledge/)
38. [**COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs**Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.*2020 · 235 citations*](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)
39. [**Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information**Michele Bevilacqua, Roberto Navigli*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-breaking-through-80-glass-ceiling/)
40. [**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/)
41. [**Commonsense Knowledge Base Completion**Xiang Li, Aynaz Taheri, Lifu Tu, et al.*2016 · 232 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-commonsense-knowledge-base-completion/)
42. [**Text Readability Assessment for Second Language Learners**Menglin Xia, Ekaterina Kochmar, Ted Briscoe*2016 · 222 citations*](https://md.research.elamur.ai/free/en/papers/xia-2016-text-readability-assessment-second-language/)
43. [**Modelling Sarcasm in Twitter, a Novel Approach**Francesco Barbieri, Horacio Saggion, Francesco Ronzano*2014 · 217 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-sarcasm-twitter-novel-approach/)
44. [**Universal Decompositional Semantics on Universal Dependencies**Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, et al.*2016 · 208 citations*](https://md.research.elamur.ai/free/en/papers/white-2016-universal-decompositional-semantics-universal-dependencies/)
45. [**Estimating Linear Models for Compositional Distributional Semantics**Fabio Massimo Zanzotto, Ioannis Korkontzelos, Francesca Fallucchi, et al.*2010 · 187 citations*](https://md.research.elamur.ai/free/en/papers/zanzotto-2010-estimating-linear-models-compositional-distributional/)
46. [**Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings**Annette Rios Gonzales, Laura Mascarell, Rico Sennrich*2017 · 185 citations*](https://md.research.elamur.ai/free/en/papers/gonzales-2017-improving-word-sense-disambiguation-neural/)
47. [**Learning To Use Formulas To Solve Simple Arithmetic Problems**Arindam Mitra, Chitta Baral*2016 · 178 citations*](https://md.research.elamur.ai/free/en/papers/mitra-2016-learning-use-formulas-solve-simple/)
48. [**Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network**Bin Liang, Chenwei Lou, Xiang Li, et al.*2022 · 172 citations*](https://md.research.elamur.ai/free/en/papers/liang-2022-multi-modal-sarcasm-detection-cross/)
49. [**Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity**Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.*2023 · 169 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/)
50. [**COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic**Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan*2021 · 168 citations*](https://md.research.elamur.ai/free/en/papers/saakyan-2021-covid-fact-fact-extraction-verification/)
51. [**Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution**Shany Barhom, Vered Shwartz, Alon Eirew, et al.*2019 · 164 citations*](https://md.research.elamur.ai/free/en/papers/barhom-2019-revisiting-joint-modeling-cross-document/)
52. [**Leveraging FrameNet to Improve Automatic Event Detection**Shulin Liu, Yubo Chen, Shizhu He, et al.*2016 · 163 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-leveraging-framenet-improve-automatic-event/)
53. [**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/)
54. [**Modelling Irony in Twitter**Francesco Barbieri, Horacio Saggion*2014 · 104 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-irony-twitter/)
55. [**Using Sense-labeled Discourse Connectives for Statistical Machine Translation**Thomas Meyer, Andrei Popescu-Belis*2012 · 93 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2012-sense-labeled-discourse-connectives-statistical/)
56. [**Probing for idiomaticity in vector space models**Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton, et al.*2021 · 89 citations*](https://md.research.elamur.ai/free/en/papers/garcia-2021-probing-idiomaticity-vector-space-models/)
57. [**R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge**Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al.*2020 · 86 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2020-r-textasciicircum3-reverse-retrieve-rank/)
58. [**Target-Aware Data Augmentation for Stance Detection**Yingjie Li, Cornelia Caragea*2021 · 56 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-target-aware-data-augmentation-stance/)
59. [**English WordNet 2019 – An Open-Source WordNet for English**John P. McCrae, Alexandre Rademaker, Francis Bond*2019 · 55 citations*](https://md.research.elamur.ai/free/en/papers/mccrae-2019-english-wordnet/)
60. [**Machine Translation of Labeled Discourse Connectives**Thomas Meyer, Andrei Popescu-Belis, Najeh Hajlaoui, et al.*2012 · 55 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2012-machine-translation-labeled-discourse-connectives/)
61. [**Generalizing Case Frames Using a Thesaurus and the MDL Principle**Hang Li, Naoki Abe*1998 · 53 citations*](https://md.research.elamur.ai/free/en/papers/li-1998-generalizing-case-frames-thesaurus-mdl/)
62. [**Decentralized Entity-Level Modeling for Coreference Resolution**Greg Durrett, David Hall, Dan Klein*2013 · 48 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2013-decentralized-entity-level-modeling-coreference/)
63. [**Paraphrasing vs Coreferring: Two Sides of the Same Coin**Yehudit Meged, Avi Caciularu, Vered Shwartz, et al.*2020 · 47 citations*](https://md.research.elamur.ai/free/en/papers/meged-2020-paraphrasing-vs-coreferring-two-sides/)
64. [**Mining Subjective Knowledge from Customer Reviews: A Specific Case of Irony Detection**Antonio Reyes, Paolo Rosso*2011 · 46 citations*](https://md.research.elamur.ai/free/en/papers/reyes-2011-mining-subjective-knowledge-customer-reviews/)
65. [**Story Realization: Expanding Plot Events into Sentences**Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, et al.*2019 · 42 citations*](https://md.research.elamur.ai/free/en/papers/ammanabrolu-2019-story-realization-expanding-plot-events/)
66. [**Modelling Irony in Twitter: Feature Analysis and Evaluation**Francesco Barbieri, Horacio Saggion*2014 · 42 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-irony-twitter-feature-analysis/)
67. [**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/)
68. [**QANom: Question-Answer driven SRL for Nominalizations**Ayal Klein, Jonathan Mamou, Valentina Pyatkin, et al.*2020 · 40 citations*](https://md.research.elamur.ai/free/en/papers/klein-2020-qanom-question-answer-driven-srl/)
69. [**We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 39 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-we-usually-don-t-like/)
70. [**Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers**Anupam Guha, Mohit Iyyer, Danny Bouman, et al.*2015 · 39 citations*](https://md.research.elamur.ai/free/en/papers/guha-2015-removing-training-wheels-coreference-dataset/)
71. [**Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution**Hieu Minh Tran, Duy Phung, Thien Huu Nguyen*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/tran-2021-exploiting-document-structures-cluster-consistencies/)
72. [**Ontology-Aware Token Embeddings for Prepositional Phrase Attachment**Pradeep Dasigi, Waleed Ammar, Chris Dyer, et al.*2017 · 35 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2017-ontology-aware-token-embeddings-prepositional/)
73. [**Detecting Compositionality in Multi-Word Expressions**Ioannis Korkontzelos, Suresh Manandhar*2009 · 35 citations*](https://md.research.elamur.ai/free/en/papers/korkontzelos-2009-detecting-compositionality-multi-word-expressions/)
74. [**Which bridges for bridging definite descriptions?**Claire Gardent, Hélène Manuélian, Eric Kow*2003 · 32 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2003-which-bridges-bridging-definite-descriptions/)
75. [**ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics**Chantal Amrhein, Nikita Moghe, Liane Guillou*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/)
76. [**SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference**Martin Schmitt, Hinrich Schütze*2019 · 28 citations*](https://md.research.elamur.ai/free/en/papers/schmitt-2019-sherliic-typed-event-focused-lexical/)
77. [**Expectations over Unspoken Alternatives Predict Pragmatic Inferences**Jennifer Hu, Roger Levy, Judith Degen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-expectations-over-unspoken-alternatives-predict/)
78. [**Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition**Yingxue Zhang, Fandong Meng, Peng Li, et al.*2021 · 27 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-context-tracking-network-graph-based/)
79. [**RelaxCor Participation in CoNLL Shared Task on Coreference Resolution**Emili Sapena, Lluís Padró, Jordi Turmo*2011 · 25 citations*](https://md.research.elamur.ai/free/en/papers/sapena-2011-relaxcor-participation-conll-shared-task/)
80. [**RelaxCor: A Global Relaxation Labeling Approach to Coreference Resolution**Emili Sapena, Lluís Padró, Jordi Turmo*2010 · 25 citations*](https://md.research.elamur.ai/free/en/papers/sapena-2010-relaxcor-global-relaxation-labeling-approach/)
81. [**Modeling Cross-Cultural Pragmatic Inference with Codenames Duet**Omar Shaikh, Caleb Ziems, William Held, et al.*2023 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shaikh-2023-modeling-cross-cultural-pragmatic-inference/)
82. [**Large Scale Substitution-based Word Sense Induction**Matan Eyal, Shoval Sadde, Hillel Taub-Tabib, et al.*2022 · 21 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2022-substitution-wsi/)
83. [**Learning Scalar Adjective Intensity from Paraphrases**Anne Cocos, Skyler Wharton, Ellie Pavlick, et al.*2018 · 21 citations*](https://md.research.elamur.ai/free/en/papers/cocos-2018-learning-scalar-adjective-intensity-paraphrases/)
84. [**Coreference in Wikipedia: Main Concept Resolution**Abbas Ghaddar, Phillippe Langlais*2016 · 20 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-coreference-wikipedia-main-concept-resolution/)
85. [**Moroccan Dialect -Darija- Open Dataset**Aissam Outchakoucht, Hamza Es-Samaali*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/outchakoucht-2021-moroccan-dialect-darija-open-dataset/)
86. [**Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better**Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-does-detectgpt-fully-utilize-perturbation/)
87. [**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/)
88. [**Combining Event Semantics and Degree Semantics for Natural Language Inference**Izumi Haruta, Koji Mineshima, Daisuke Bekki*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/haruta-2020-combining-event-semantics-degree-semantics/)
89. [**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/)
90. [**Semantic properties of English nominal pluralization: Insights from word embeddings**Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/shafaei-bajestan-2022-semantic-properties-english-nominal-pluralization/)
91. [**Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News**Michael Bugert, Iryna Gurevych*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/bugert-2021-event-coreference-data-almost-free/)
92. [**DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs**Lasha Abzianidze, Johan Bos, Stephan Oepen*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2020-drs-mrp-2020-dressing-up/)
93. [**Building a reference lexicon for countability in English**Tibor Kiss, Francis Jeffry Pelletier, Tobias Stadtfeld*2014 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kiss-2014-building-reference-lexicon-countability-english/)
94. [**Developing an interlingual translation lexicon using WordNets and Grammatical Framework**Shafqat Mumtaz Virk, K.V.S. Prasad, Aarne Ranta, et al.*2014 · 10 citations*](https://md.research.elamur.ai/free/en/papers/virk-2014-developing-interlingual-translation-lexicon-wordnets/)
95. [**Improving a Strong Neural Parser with Conjunction-Specific Features**Jessica Ficler, Yoav Goldberg*2017 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ficler-2017-improving-strong-neural-parser-conjunction/)
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