---
title: "Who cites Keith J. Holyoak — 97 papers of our library"
description: "97 papers of the Elamur Research library cite the works of Keith J. Holyoak, found in their bibliographies; the most cited first."
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---
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# Who cites Keith J. Holyoak

101 citations of their works from 97 papers of our library (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · [← Keith J. Holyoak](https://md.research.elamur.ai/free/en/authors/keith-j-holyoak/)

1. [**Efficient Estimation of Word Representations in Vector Space arXiv:1301.3781**Tomas Mikolov, Kai Chen, Greg Corrado, et al.*2013 · 28,759 citations*](https://md.research.elamur.ai/free/en/papers/mikolov-2013-efficient-estimation-word-representations-vector/)
2. **[Linguistic Regularities in Continuous Space Word Representations](https://md.research.elamur.ai/free/en/papers/mikolov-2013-linguistic-regularities-continuous-space-word/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tomas Mikolov, Wen-tau Yih, Geoffrey Zweig*2013 · 3,513 citations*
3. **[Analogical mapping by constraint satisfaction](https://md.research.elamur.ai/free/en/papers/holyoak-1989-analogical-mapping-constraint-satisfaction/) [Cognitive Science](https://md.research.elamur.ai/free/en/venues/cognitive-science/)**Keith J. Holyoak, Paul Thagard*1989 · 1,272 citations*
4. **[Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words](https://md.research.elamur.ai/free/en/papers/mohammad-2018-obtaining-reliable-human-ratings-valence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Saif Mohammad*2018 · 804 citations*
5. **[Linguistic Regularities in Sparse and Explicit Word Representations](https://md.research.elamur.ai/free/en/papers/levy-2014-linguistic-regularities-sparse-explicit-word/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Omer Levy, Yoav Goldberg*2014 · 798 citations*
6. **[MAC/FAC: A model of similarity-based retrieval](https://md.research.elamur.ai/free/en/papers/forbus-1995-mac-fac-model-similarity-based/) [Cognitive Science](https://md.research.elamur.ai/free/en/venues/cognitive-science/)**Kenneth D. Forbus, Dedre Gentner, Keith Law*1995 · 742 citations*
7. **[Learning Gender-Neutral Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2018-learning-gender-neutral-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.*2018 · 520 citations*
8. **[SemEval-2015 Task 10: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.*2015 · 492 citations*
9. **[WASSA-2017 Shared Task on Emotion Intensity](https://md.research.elamur.ai/free/en/papers/mohammad-2017-wassa-2017-shared-task-emotion/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Saif Mohammad, Felipe Bravo-Marquez*2017 · 369 citations*
10. **[SensEmbed: Learning Sense Embeddings for Word and Relational Similarity](https://md.research.elamur.ai/free/en/papers/iacobacci-2015-sensembed-learning-sense-embeddings-word/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli*2015 · 349 citations*
11. **[Do Supervised Distributional Methods Really Learn Lexical Inference Relations?](https://md.research.elamur.ai/free/en/papers/levy-2015-do-supervised-distributional-methods-really/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Omer Levy, Steffen Remus, Chris Biemann, et al.*2015 · 325 citations*
12. **[Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.](https://md.research.elamur.ai/free/en/papers/gladkova-2016-analogy-based-detection-morphological-semantic/) [NAACL Student Research Workshop](https://md.research.elamur.ai/free/en/venues/naacl-student-research-workshop/)**Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka*2016 · 312 citations*
13. **[Emotion Intensities in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2017-emotion-intensities-tweets/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Saif Mohammad, Felipe Bravo-Marquez*2017 · 290 citations*
14. **[Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation](https://md.research.elamur.ai/free/en/papers/kiritchenko-2017-best-worst-scaling-more-reliable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Svetlana Kiritchenko, Saif Mohammad*2017 · 283 citations*
15. **[SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers](https://md.research.elamur.ai/free/en/papers/gabor-2018-semeval-2018-task-7-semantic/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, et al.*2018 · 216 citations*
16. [**Abstraction and analogy-making in artificial intelligence**Melanie Mitchell*2021 · 161 citations*](https://md.research.elamur.ai/free/en/papers/mitchell-2021-abstraction-analogy-making-artificial-intelligence/)
17. **[HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*
18. **[Word Affect Intensities](https://md.research.elamur.ai/free/en/papers/mohammad-2018-word-affect-intensities/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saif Mohammad*2018 · 114 citations*
19. **[A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances](https://md.research.elamur.ai/free/en/papers/wang-2017-short-survey-taxonomy-learning-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chengyu Wang, Xiaofeng He, Aoying Zhou*2017 · 87 citations*
20. **[From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation](https://md.research.elamur.ai/free/en/papers/apidianaki-2023-word-types-tokens-back-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Marianna Apidianaki*2023 · 49 citations*
21. **[ANLIzing the Adversarial Natural Language Inference Dataset](https://md.research.elamur.ai/free/en/papers/williams-2022-anlizing-adversarial-natural-language-inference/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Adina Williams, Tristan Thrush, Douwe Kiela*2022 · 48 citations*
22. **[Ruddit: Norms of Offensiveness for English Reddit Comments](https://md.research.elamur.ai/free/en/papers/hada-2021-ruddit-norms-offensiveness-english-reddit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rishav Hada, Sohi Sudhir, Pushkar Mishra, et al.*2021 · 48 citations*
23. **[A Deterministic Algorithm for Bridging Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/hou-2018-deterministic-algorithm-bridging-anaphora-resolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yufang Hou*2018 · 32 citations*
24. **[“Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English Text](https://md.research.elamur.ai/free/en/papers/hada-2023-fifty-shades-bias-normative-ratings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rishav Hada, Agrima Seth, Harshita Diddee, et al.*2023 · 27 citations*
25. **[ARN: Analogical Reasoning on Narratives](https://md.research.elamur.ai/free/en/papers/sourati-2024-arn-analogical-reasoning-narratives/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zhivar Sourati, Filip Ilievski, Pia Sommerauer, et al.*2024 · 17 citations*
26. **[Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research](https://md.research.elamur.ai/free/en/papers/petersen-2026-modelling-analogies-analogical-reasoning-connecting/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Molly R. Petersen, Claire E. Stevenson, Lonneke van der Plas*2026 · 1 citation*

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

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