---
title: "Who cites WordNet: A Lexical Database for English"
description: "2080 papers of the Elamur Research library cite «WordNet: A Lexical Database for English», found in their bibliographies · page 1 of 5; the most cited…"
canonical: "https://research.elamur.ai/free/en/papers/lex-1994-miller-wordnet/cited-by/"
---
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# Who cites «WordNet: A Lexical Database for English»

2080 papers of our library cite it (of the 140884 whose bibliographies we read) · 110 with a page here, the most cited first · page 1 of 5 · [← the paper](https://md.research.elamur.ai/free/en/papers/lex-1994-miller-wordnet/)

**1** [2](https://md.research.elamur.ai/free/en/papers/lex-1994-miller-wordnet/cited-by/page/2/) … [5](https://md.research.elamur.ai/free/en/papers/lex-1994-miller-wordnet/cited-by/page/5/) [next →](https://md.research.elamur.ai/free/en/papers/lex-1994-miller-wordnet/cited-by/page/2/)

- [Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://md.research.elamur.ai/free/en/papers/krishna-2016-visual-genome-connecting-language-vision/) — Ranjay Krishna, Yuke Zhu, Oliver Groth, et al. · 2016 · 5 747 citations
- [A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) — Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. · 2023 · 2 847 citations
- [Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification](https://md.research.elamur.ai/free/en/papers/zhou-2016-attention-based-bidirectional-long-short/) — Peng Zhou, Wei Shi, Jun Tian, et al. · 2016 · 2 216 citations
- [SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems](https://md.research.elamur.ai/free/en/papers/wang-2019-superglue-stickier-benchmark-general-purpose/) — Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al. · 2019 · 2 187 citations
- [Knowledge Graph Embedding via Dynamic Mapping Matrix](https://md.research.elamur.ai/free/en/papers/ji-2015-knowledge-graph-embedding-dynamic-mapping/) — Guoliang Ji, Shizhu He, Liheng Xu, et al. · 2015 · 1 936 citations
- [Microsoft COCO Captions: Data Collection and Evaluation Server](https://md.research.elamur.ai/free/en/papers/chen-2015-microsoft-coco-captions-data-collection/) — Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al. · 2015 · 1 859 citations
- [Improving Word Representations via Global Context and Multiple Word Prototypes](https://md.research.elamur.ai/free/en/papers/huang-2012-improving-word-representations-global-context/) — Eric Huang, Richard Socher, Christopher Manning, et al. · 2012 · 1 349 citations
- [COMET: Commonsense Transformers for Automatic Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/bosselut-2019-comet-commonsense-transformers-automatic-knowledge/) — Antoine Bosselut, Hannah Rashkin, Maarten Sap, et al. · 2019 · 1 282 citations
- [ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs](https://md.research.elamur.ai/free/en/papers/yin-2016-abcnn-attention-based-convolutional-neural/) — Wenpeng Yin, Hinrich Schütze, Bing Xiang, et al. · 2016 · 1 048 citations
- [Better Word Representations with Recursive Neural Networks for Morphology](https://md.research.elamur.ai/free/en/papers/luong-2013-better-word-representations-recursive-neural/) — Thang Luong, Richard Socher, Christopher Manning · 2013 · 1 017 citations
- [A Survey of Data Augmentation Approaches for NLP](https://md.research.elamur.ai/free/en/papers/feng-2021-survey-data-augmentation-approaches-nlp/) — Steven Y. Feng, Varun Gangal, Jason Wei, et al. · 2021 · 935 citations
- [SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/) — Eneko Agirre, Carmen Banea, Daniel Cer, et al. · 2016 · 820 citations
- [Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations](https://md.research.elamur.ai/free/en/papers/kobayashi-2018-contextual-augmentation-data-augmentation-words/) — Sosuke Kobayashi · 2018 · 804 citations
- [SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/) — Eneko Agirre, Carmen Banea, Claire Cardie, et al. · 2015 · 758 citations
- [EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks](https://md.research.elamur.ai/free/en/papers/wei-2019-eda-easy-data-augmentation-techniques/) — Jason Wei, Kai Zou · 2019 · 750 citations
- [Evaluation methods for unsupervised word embeddings](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/) — Tobias Schnabel, Igor Labutov, David Mimno, et al. · 2015 · 669 citations
- [A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)](https://md.research.elamur.ai/free/en/papers/suhr-2019-corpus-reasoning-natural-language-grounded/) — Alane Suhr, Stephanie Zhou, Ally Zhang, et al. · 2019 · 640 citations
- [Learning to Solve Arithmetic Word Problems with Verb Categorization](https://md.research.elamur.ai/free/en/papers/hosseini-2014-learning-solve-arithmetic-word-problems/) — Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, et al. · 2014 · 513 citations
- [Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison](https://md.research.elamur.ai/free/en/papers/onto-2017-raganato-word-sense-disambiguation-unified-evaluation/) — Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli · 2017 · 483 citations
- [UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems](https://md.research.elamur.ai/free/en/papers/han-2013-umbc-ebiquity-core-semantic-textual/) — Lushan Han, Abhay L. Kashyap, Tim Finin, et al. · 2013 · 397 citations
- [ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension](https://md.research.elamur.ai/free/en/papers/zhang-2018-record-bridging-gap-between-human/) — Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al. · 2018 · 379 citations
- [TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction](https://md.research.elamur.ai/free/en/papers/bougouin-2013-topicrank-graph-based-topic-ranking/) — Adrien Bougouin, Florian Boudin, Béatrice Daille · 2013 · 374 citations
- [A Unified Model for Word Sense Representation and Disambiguation](https://md.research.elamur.ai/free/en/papers/chen-2014-unified-model-word-sense-representation/) — Xinxiong Chen, Zhiyuan Liu, Maosong Sun · 2014 · 358 citations
- [Query2doc: Query Expansion with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-query2doc-query-expansion-large-language/) — Liang Wang, Nan Yang, Furu Wei · 2023 · 353 citations
- [Generating Natural Questions About an Image](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2016-generating-natural-questions-about-image/) — Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, et al. · 2016 · 339 citations

**1** [2](https://md.research.elamur.ai/free/en/papers/lex-1994-miller-wordnet/cited-by/page/2/) … [5](https://md.research.elamur.ai/free/en/papers/lex-1994-miller-wordnet/cited-by/page/5/) [next →](https://md.research.elamur.ai/free/en/papers/lex-1994-miller-wordnet/cited-by/page/2/)
