---
title: "Dan Jurafsky — all works — Elamur Research"
description: "All 442 works of Dan Jurafsky in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/dan-jurafsky/works/"
---
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# Dan Jurafsky — all works

442 works · page 1 of 5 · 1–100 · [← Dan Jurafsky](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/)

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1. **[Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition ↗](https://openalex.org/W1579838312) no summary yet**Daniel S. Jurafsky, James Martin*2000 · 4,221 citations*
2. **[Distant supervision for relation extraction without labeled data](https://md.research.elamur.ai/free/en/papers/mintz-2009-distant-supervision-relation-extraction-without/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mike Mintz, Steven Bills, Rion Snow, et al.*2009 · 3,481 citations*
3. [**Automatic Labeling of Semantic Roles**Daniel Gildea, Daniel Jurafsky*English · 2,220 citations*](https://md.research.elamur.ai/free/en/papers/gildea-2002-automatic-labeling-semantic-roles/)
4. **[Deep Reinforcement Learning for Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Will Monroe, Alan Ritter, et al.*2016 · 1,502 citations*
5. [**Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech**Andreas Stolcke, Klaus Ries, Noah Coccaro, et al.*English · 1,453 citations*](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/)
6. **[Word embeddings quantify 100 years of gender and ethnic stereotypes ↗](https://doi.org/10.1073/pnas.1720347115) Proceedings of the National Academy of Sciences · no summary yet**Nikhil Garg et al.*2018 · 1,296 citations*
7. **[Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change](https://md.research.elamur.ai/free/en/papers/hamilton-2016-diachronic-word-embeddings-reveal-statistical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**William L. Hamilton, Jure Leskovec, Dan Jurafsky*2016 · 1,278 citations*
8. **[Adversarial Learning for Neural Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2017-adversarial-learning-neural-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Will Monroe, Tianlin Shi, et al.*2017 · 1,063 citations*
9. **[The Diversity–Innovation Paradox in Science ↗](https://doi.org/10.1073/pnas.1915378117) Proceedings of the National Academy of Sciences · no summary yet**Bas Hofstra et al.*2020 · 984 citations*
10. **[Visualizing and Understanding Neural Models in NLP](https://md.research.elamur.ai/free/en/papers/li-2016-visualizing-understanding-neural-models-nlp/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jiwei Li, Xinlei Chen, Eduard Hovy, et al.*2016 · 855 citations*
11. **[Learning Syntactic Patterns for Automatic Hypernym Discovery ↗](https://openalex.org/W2142086811) neural information processing systems · no summary yet**Rion Snow, Daniel S. Jurafsky, Andrew Ng*2004 · 830 citations*
12. **[Unsupervised Learning of Narrative Event Chains ↗](https://aclanthology.org/P08-1090/) Proceedings of ACL-08: HLT · no summary yet**Nathanael Chambers, Dan Jurafsky*2008 · 822 citations*
13. **[Probabilistic relations between words ↗](https://doi.org/10.1075/tsl.45.13jur) Typological studies in language · no summary yet**Daniel S. Jurafsky et al.*2001 · 765 citations*
14. **[Predictability effects on durations of content and function words in conversational English ↗](https://doi.org/10.1016/j.jml.2008.06.003) Journal of Memory and Language · no summary yet**Alan Bell et al.*2008 · 726 citations*
15. **[Universal Tendencies in the Semantics of the Diminutive* ↗](https://doi.org/10.2307/416278) Language · no summary yet**Daniel S. Jurafsky*1996 · 717 citations*
16. **[Social Bias Frames: Reasoning about Social and Power Implications of Language](https://md.research.elamur.ai/free/en/papers/sap-2020-social-bias-frames-reasoning-about/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.*2020 · 684 citations*
17. **[Understanding Neural Networks through Representation Erasure ↗](https://arxiv.org/abs/1612.08220) arXiv (Cornell University) · no summary yet**Jiwei Li, Monroe, Will, Dan Jurafsky*2016 · 595 citations*
18. **[Unsupervised Learning of Narrative Schemas and their Participants ↗](https://aclanthology.org/P09-1068/) Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP · no summary yet**Nathanael Chambers, Dan Jurafsky*2009 · 594 citations*
19. **[Semantic Taxonomy Induction from Heterogenous Evidence ↗](https://aclanthology.org/P06-1101/) Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics · no summary yet**Rion Snow, Daniel Jurafsky, Andrew Y. Ng*2006 · 591 citations*
20. [**Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules**Heeyoung Lee, Angel Chang, Yves Peirsman, et al.*Mova's core list · 537 citations*](https://md.research.elamur.ai/free/en/papers/lee-2013-deterministic-coreference-resolution-based-entity/)
21. **[Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study ↗](https://doi.org/10.1016/s2589-7500(23)00225-x) The Lancet Digital Health · no summary yet**Travis Ian Zack et al.*2023 · 532 citations*
22. **[Studying the History of Ideas Using Topic Models ↗](https://aclanthology.org/D08-1038/) Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing · no summary yet**David Hall, Daniel Jurafsky, Christopher D. Manning*2008 · 512 citations*
23. [**Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task**Heeyoung Lee, Yves Peirsman, Angel Chang, et al.*English · 508 citations*](https://md.research.elamur.ai/free/en/papers/lee-2011-stanford-s-multi-pass-sieve/)
24. **[Shallow Semantic Parsing using Support Vector Machines](https://md.research.elamur.ai/free/en/papers/pradhan-2004-shallow-semantic-parsing-support-vector/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sameer S. Pradhan, Wayne H. Ward, Kadri Hacioglu, et al.*2004 · 498 citations*
25. **[Effects of disfluencies, predictability, and utterance position on word form variation in English conversation ↗](https://doi.org/10.1121/1.1534836) The Journal of the Acoustical Society of America · no summary yet**Alan Bell et al.*2003 · 485 citations*
26. **[Generalization through Memorization: Nearest Neighbor Language Models ↗](https://arxiv.org/abs/1911.00172) arXiv:1911.00172 · no summary yet**Urvashi Khandelwal et al.*2019 · 464 citations*
27. [**A Multi-Pass Sieve for Coreference Resolution**Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, et al.*Mova's core list · 448 citations*](https://md.research.elamur.ai/free/en/papers/raghunathan-2010-multi-pass-sieve-coreference-resolution/)
28. **[Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora](https://md.research.elamur.ai/free/en/papers/hamilton-2016-inducing-domain-specific-sentiment-lexicons/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William L. Hamilton, Kevin Clark, Jure Leskovec, et al.*2016 · 435 citations*
29. **[A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005](https://md.research.elamur.ai/free/en/papers/tseng-2005-conditional-random-field-word-segmenter/) [SIGHAN Workshop on Chinese Language Processing](https://md.research.elamur.ai/free/en/venues/sighan-workshop-on-chinese-language-processing/)**Huihsin Tseng, Pichuan Chang, Galen Andrew, et al.*2005 · 431 citations*
30. **[Automatic Tagging of Arabic Text: From Raw Text to Base Phrase Chunks](https://md.research.elamur.ai/free/en/papers/diab-2004-automatic-tagging-arabic-text-raw/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mona Diab, Kadri Hacioglu, Daniel Jurafsky*2004 · 403 citations*
31. **[Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context ↗](https://arxiv.org/abs/1805.04623) arXiv:1805.04623 · no summary yet**Urvashi Khandelwal et al.*2018 · 399 citations*
32. **[Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks](https://md.research.elamur.ai/free/en/papers/snow-2008-cheap-fast-but-is-it/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rion Snow, Brendan O'Connor, Daniel Jurafsky, et al.*2008 · 399 citations*
33. **[Linguistic Models for Analyzing and Detecting Biased Language](https://md.research.elamur.ai/free/en/papers/recasens-2013-linguistic-models-analyzing-detecting-biased/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky*2013 · 395 citations*
34. **[Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale ↗](https://doi.org/10.1145/3593013.3594095) ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yet**Federico Bianchi et al.*2023 · 377 citations*
35. **[Probabilistic Modeling in Psycholinguistics: Linguistic Comprehension and Production ↗](https://doi.org/10.7551/mitpress/5582.003.0006) The MIT Press eBooks · no summary yet**Dan Jurafsky*2003 · 367 citations*
36. **[Support Vector Learning for Semantic Argument Classification ↗](https://doi.org/10.1007/s10994-005-0912-2) Machine Learning · no summary yet**Sameer Pradhan et al.*2005 · 359 citations*
37. [**Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech? Language and Speech 41(3-4), 439-487, 1998**E. Shriberg, R. Bates, A. Stolcke, et al.*1998 · 356 citations*](https://md.research.elamur.ai/free/en/papers/shriberg-2000-prosody-aid-automatic-classification-dialog/)
38. **[Speech and Language Processing, 2nd Edition ↗](https://openalex.org/W7542544) no summary yet**Daniel S. Jurafsky, James Martin*2008 · 352 citations*
39. **[No country for old members ↗](https://doi.org/10.1145/2488388.2488416) International World Wide Web Conference (WWW) · no summary yet**Cristian Danescu-Niculescu-Mizil et al.*2013 · 342 citations*
40. **[KTO: Model Alignment as Prospect Theoretic Optimization ↗](https://arxiv.org/abs/2402.01306) arXiv:2402.01306 · no summary yet**Kawin Ethayarajh et al.*2024 · 333 citations*
41. **[Community Interaction and Conflict on the Web ↗](https://doi.org/10.1145/3178876.3186141) arXiv:1803.03697 · no summary yet**Srijan Kumar et al.*2018 · 331 citations*
42. **[Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change](https://md.research.elamur.ai/free/en/papers/hamilton-2016-cultural-shift-or-linguistic-drift/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William L. Hamilton, Jure Leskovec, Dan Jurafsky*2016 · 325 citations*
43. **[Measuring the Evolution of a Scientific Field through Citation Frames](https://md.research.elamur.ai/free/en/papers/jurgens-2018-measuring-evolution-scientific-field-through/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**David Jurgens, Srijan Kumar, Raine Hoover, et al.*2018 · 314 citations*
44. **[Do Multi-Sense Embeddings Improve Natural Language Understanding?](https://md.research.elamur.ai/free/en/papers/li-2015-do-multi-sense-embeddings-improve/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Dan Jurafsky*2015 · 304 citations*
45. **[Learning Attitudes and Attributes from Multi-aspect Reviews ↗](https://doi.org/10.1109/icdm.2012.110) Proceedings · no summary yet**Julian McAuley, Jure Leskovec, Dan Jurafsky*2012 · 304 citations*
46. **[Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010) ↗](https://openalex.org/W2892737606) International Conference on Computational Linguistics · no summary yet**Chu‐Ren Huang, Dan Jurafsky*2010 · 302 citations*
47. **[A Hierarchical Neural Autoencoder for Paragraphs and Documents ↗](https://arxiv.org/abs/1506.01057) arXiv:1506.01057 · no summary yet**Jiwei Li, Minh-Thang Luong, Dan Jurafsky*2015 · 287 citations*
48. **[A Simple, Fast Diverse Decoding Algorithm for Neural Generation ↗](https://arxiv.org/abs/1611.08562) arXiv (Cornell University) · no summary yet**Jiwei Li, Monroe, Will, Dan Jurafsky*2016 · 284 citations*
49. **[Joint Entity and Event Coreference Resolution across Documents](https://md.research.elamur.ai/free/en/papers/lee-2012-joint-entity-event-coreference-resolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Heeyoung Lee, Marta Recasens, Angel Chang, et al.*2012 · 274 citations*
50. **[Data Noising as Smoothing in Neural Network Language Models ↗](https://arxiv.org/abs/1703.02573) arXiv (Cornell University) · no summary yet**Ziang Xie et al.*2017 · 269 citations*
51. **[When Are Tree Structures Necessary for Deep Learning of Representations?](https://md.research.elamur.ai/free/en/papers/li-2015-when-are-tree-structures-necessary/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Thang Luong, Dan Jurafsky, et al.*2015 · 267 citations*
52. **[AI generates covertly racist decisions about people based on their dialect ↗](https://doi.org/10.1038/s41586-024-07856-5) Nature · no summary yet**Valentin Hofmann et al.*2024 · 266 citations*
53. **[Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning ↗](https://arxiv.org/abs/2002.05651) arXiv (Cornell University) · no summary yet**Peter B. Henderson et al.*2020 · 258 citations*
54. **[Automatic Extraction of Opinion Propositions and their Holders ↗](https://openalex.org/W135700821) no summary yet**Steven J. Bethard et al.*2004 · 255 citations*
55. **[How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation ↗](https://doi.org/10.1109/sp.2010.31) Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · no summary yet**Elie Bursztein et al.*2010 · 254 citations*
56. **[Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models](https://md.research.elamur.ai/free/en/papers/cheng-2023-marked-personas-natural-language-prompts/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Myra Cheng, Esin Durmus, Dan Jurafsky*2023 · 246 citations*
57. **[Template-Based Information Extraction without the Templates ↗](https://aclanthology.org/P11-1098/) Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Nathanael Chambers, Dan Jurafsky*2011 · 242 citations*
58. **[Classifying Temporal Relations Between Events ↗](https://aclanthology.org/P07-2044/) Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume Proceedings of the Demo and Poster Sessions · no summary yet**Nathanael Chambers, Shan Wang, Dan Jurafsky*2007 · 242 citations*
59. **[Automatically Neutralizing Subjective Bias in Text ↗](https://doi.org/10.1609/aaai.v34i01.5385) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Reid Pryzant et al.*2020 · 241 citations*
60. **[Utility is in the Eye of the User: A Critique of NLP Leaderboards ↗](https://aclanthology.org/2020.emnlp-main.393/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Kawin Ethayarajh, Dan Jurafsky*2020 · 238 citations*
61. **[The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue ↗](https://doi.org/10.1007/s10579-010-9120-1) Language Resources and Evaluation · no summary yet**Sasha Calhoun et al.*2010 · 229 citations*
62. **[Learning to Follow Navigational Directions ↗](https://aclanthology.org/P10-1083/) Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics · no summary yet**Adam Vogel, Daniel Jurafsky*2010 · 221 citations*
63. **[Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings ↗](https://aclanthology.org/N19-1304/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Dorottya Demszky et al.*2019 · 216 citations*
64. **[Discriminative Reordering with Chinese Grammatical Relations Features ↗](https://aclanthology.org/W09-2307/) Proceedings of the Third Workshop on Syntax and Structure in Statistical Translation (SSST-3) at NAACL HLT 2009 · no summary yet**Pi-Chuan Chang et al.*2009 · 204 citations*
65. **[From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing ↗](https://aclanthology.org/N10-1116/) Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yet**Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky*2010 · 200 citations*
66. **[Is Knowledge-Free Induction of Multiword Unit Dictionary Headwords a Solved Problem? ↗](https://aclanthology.org/W01-0513/) Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing · no summary yet**Patrick Schone, Daniel Jurafsky*2001 · 196 citations*
67. **[Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies](https://md.research.elamur.ai/free/en/papers/field-2018-framing-agenda-setting-russian-news/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anjalie Field, Doron Kliger, Shuly Wintner, et al.*2018 · 195 citations*
68. **[Jointly Combining Implicit Constraints Improves Temporal Ordering ↗](https://aclanthology.org/D08-1073/) Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing · no summary yet**Nathanael Chambers, Daniel Jurafsky*2008 · 194 citations*
69. **[Nearest Neighbor Machine Translation ↗](https://arxiv.org/abs/2010.00710) arXiv (Cornell University) · no summary yet**Urvashi Khandelwal et al.*2020 · 193 citations*
70. **[ELEPHANT: Measuring and understanding social sycophancy in LLMs](https://md.research.elamur.ai/free/en/papers/cheng-2025-elephant-measuring-understanding-social-sycophancy/) [Science](https://md.research.elamur.ai/free/en/venues/science/)**Myra Cheng, Sunny Yu, Cinoo Lee, et al.*2025 · 188 citations*
71. **[The Effects of Collocational Strength and Contextual Predictability in Lexical Production ↗](https://openalex.org/W416561711) no summary yet**Michelle Gregory et al.*1999 · 187 citations*
72. **[Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation ↗](https://aclanthology.org/2021.naacl-main.416/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yasuhide Miura et al.*2021 · 186 citations*
73. **[Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction ↗](https://aclanthology.org/N18-1057/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Ziang Xie et al.*2018 · 183 citations*
74. **[Semantic Role Labeling Using Different Syntactic Views ↗](https://aclanthology.org/P05-1072/) Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05) · no summary yet**Sameer Pradhan et al.*2005 · 182 citations*
75. **[With Little Power Comes Great Responsibility ↗](https://aclanthology.org/2020.emnlp-main.745/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Dallas Card et al.*2020 · 173 citations*
76. [**Knowledge-Free Induction of Inflectional Morphologies**Patrick Schone, Daniel Jurafsky*English · 170 citations*](https://md.research.elamur.ai/free/en/papers/schone-2001-knowledge-free-induction-inflectional-morphologies/)
77. **[Knowledge-Free Induction of Morphology Using Latent Semantic Analysis ↗](https://aclanthology.org/W00-0712/) Fourth Conference on Computational Natural Language Learning and the Second Learning Language in Logic Workshop · no summary yet**Patrick Schone, Daniel Jurafsky*2000 · 167 citations*
78. **[Neural Language Correction with Character-Based Attention ↗](https://arxiv.org/abs/1603.09727) arXiv:1603.09727 · no summary yet**Ziang Xie et al.*2016 · 164 citations*
79. **[First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs ↗](https://arxiv.org/abs/1408.2873) arXiv (Cornell University) · no summary yet**Awni Hannun et al.*2014 · 163 citations*
80. **[An On-Line Computational Model of Human Sentence Interpretation: A Theory of the Representation and Use of Linguistic Knowledge ↗](https://doi.org/10.21236/ada604298) no summary yet**Daniel S. Jurafsky*1992 · 159 citations*
81. [**Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy**Daniel Cer, Marie-Catherine de Marneffe, Dan Jurafsky, et al.*English · 158 citations*](https://md.research.elamur.ai/free/en/papers/cer-2010-parsing-stanford-dependencies-trade-offs/)
82. **[Neural Net Models of Open-domain Discourse Coherence](https://md.research.elamur.ai/free/en/papers/li-2017-neural-net-models-open-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Dan Jurafsky*2017 · 147 citations*
83. **[A computational approach to politeness with application to social factors](https://md.research.elamur.ai/free/en/papers/mizil-2013-computational-approach-politeness-application-social/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, et al.*2013 · 141 citations*
84. **[When and why vision-language models behave like bags-of-words, and what to do about it? ↗](https://arxiv.org/abs/2210.01936) arXiv (Cornell University) · no summary yet**Mert Yüksekgönül et al.*2022 · 140 citations*
85. **[Narrative framing of consumer sentiment in online restaurant reviews ↗](https://doi.org/10.5210/fm.v19i4.4944) First Monday · no summary yet**Dan Jurafsky et al.*2014 · 140 citations*
86. **[How to Ask for a Favor: A Case Study on the Success of Altruistic Requests ↗](https://doi.org/10.1609/icwsm.v8i1.14547) Proceedings of the International AAAI Conference on Web and Social Media · no summary yet**Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky*2014 · 139 citations*
87. **[Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts ↗](https://aclanthology.org/D19-1469/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Julia Kruk et al.*2019 · 138 citations*
88. **[Mutual Information and Diverse Decoding Improve Neural Machine Translation ↗](https://arxiv.org/abs/1601.00372) arXiv (Cornell University) · no summary yet**Jiwei Li, Dan Jurafsky*2016 · 137 citations*
89. **[Differentiating language usage through topic models ↗](https://doi.org/10.1016/j.poetic.2013.06.004) Poetics · no summary yet**Daniel A. McFarland et al.*2013 · 137 citations*
90. [**Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions arXiv:2309.07875**Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/bianchi-2023-safety-tuned-llamas-lessons-improving/)
91. **[Foundation Models and Fair Use ↗](https://doi.org/10.2139/ssrn.4404340) SSRN Electronic Journal · no summary yet**Peter B. Henderson et al.*2023 · 134 citations*
92. **[Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset ↗](https://arxiv.org/abs/2207.00220) arXiv:2207.00220 · no summary yet**Peter Henderson et al.*2022 · 133 citations*
93. [**Lexical, Prosodic, and Syntactic Cues for Dialog Acts Discourse Relations and Discourse Markers**Daniel Jurafsky, Elizabeth Shriberg, Barbara Fox, et al.*1998 · 132 citations*](https://md.research.elamur.ai/free/en/papers/jurafsky-1998-lexical-prosodic-syntactic-cues-dialog/)
94. **[Lexicon-Free Conversational Speech Recognition with Neural Networks ↗](https://aclanthology.org/N15-1038/) Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Andrew Maas et al.*2015 · 130 citations*
95. **[Who should I cite ↗](https://doi.org/10.1145/1871437.1871517) ACM International Conference on Information and Knowledge Management (CIKM) · no summary yet**Steven J. Bethard, Dan Jurafsky*2010 · 129 citations*
96. **[Cognition and Function in Language ↗](https://openalex.org/W1519476464) Medical Entomology and Zoology · no summary yet**Barbara A. Fox et al.*1999 · 129 citations*
97. **[Can Automated Feedback Improve Teachers’ Uptake of Student Ideas? Evidence From a Randomized Controlled Trial in a Large-Scale Online Course ↗](https://doi.org/10.3102/01623737231169270) Educational Evaluation and Policy Analysis · no summary yet**Dorottya Demszky et al.*2023 · 128 citations*
98. **[Incorporating Dialectal Variability for Socially Equitable Language Identification ↗](https://aclanthology.org/P17-2009/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**David Jurgens, Yulia Tsvetkov, Dan Jurafsky*2017 · 127 citations*
99. **[Robust Machine Translation Evaluation with Entailment Features ↗](https://aclanthology.org/P09-1034/) Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP · no summary yet**Sebastian Padó et al.*2009 · 126 citations*
100. **[Learning to Merge Word Senses ↗](https://aclanthology.org/D07-1107/) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) · no summary yet**Rion Snow et al.*2007 · 125 citations*

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