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Dan Jurafsky — all works

442 works · page 4 of 5 · 301–400 · ← Dan Jurafsky

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  1. Issues in Relating Syntax and Semantics ↗Coling Budapest 1988 Volume 1: International Conference on Computational Linguistics · no summary yetJurafsky, Daniel1988 · 9 citations
  2. False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetJulie Kallini et al.2025 · 8 citations
  3. Automated speech tools for helping communities process restricted-access corpora for language revival efforts ↗Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages · no summary yetNay San et al.2022 · 8 citations
  4. The language of food a linguist reads the menu ↗no summary yetDan Jurafsky2014 · 8 citations
  5. Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models ↗no summary yetValentin I. Spitkovsky, Hiyan Alshawi, Daniel S. Jurafsky2012 · 8 citations
  6. Capitalization Cues Improve Dependency Grammar Induction ↗Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure · no summary yetValentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky2012 · 8 citations
  7. Who Should I Cite? Learning Literature Search Models from Citation Behavior ABSTRACT ↗no summary yetSteven J. Bethard, Dan Jurafsky2010 · 8 citations
  8. Form variation of English function words in conversation ↗no summary yetAlan Bell et al.2001 · 7 citations
  9. Representing and Integrating Linguistic Knowledge ↗COLING 1990 Volume 2: Papers presented to the 13th International Conference on Computational Linguistics · no summary yetJurafsky, Daniel1990 · 7 citations
  10. Artificial intelligence for food innovation ↗Nature Food · no summary yetBianca Datta et al.2026 · 6 citations
  11. In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetNathan Roll et al.2025 · 6 citations
  12. Between- and Within-Speaker Effects of Bilingualism on F0 Variation ↗Interspeech (USB) · no summary yetRob Voigt, Dan Jurafsky, Meghan Sumner2016 · 6 citations
  13. Speaker-independent detection of child-directed speech ↗IEEE Spoken Language Technology Workshop (SLT) · no summary yetSebastian Schuster et al.2014 · 6 citations
  14. HumT DumT: Measuring and controlling human-like language in LLMs ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMyra Cheng, Sunny Yu, Dan Jurafsky2025 · 5 citations
  15. Humans overrely on overconfident language models, across languages ↗arXiv (Cornell University) · no summary yetNeil Rathi, Dan Jurafsky, Kaitlyn Zhou2025 · 5 citations
  16. From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning ↗arXiv (Cornell University) · no summary yetChen Shani et al.2025 · 5 citations
  17. Five-star prices, appealing healthy item descriptions? Expensive restaurants’ descriptive menu language. ↗Health Psychology · no summary yetBradley P. Turnwald et al.2020 · 5 citations
  18. Obituary: Charles J. Fillmore ↗Computational Linguistics · no summary yetJurafsky, Dan2014 · 5 citations
  19. Language-independent Induction of Part of Speech Class Labels Using Only Language Universals ↗no summary yetPatrick Schone, Daniel S. Jurafsky2001 · 5 citations
  20. Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMyra Cheng, Robert D. Hawkins, Dan Jurafsky2026 · 4 citations
  21. The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties ↗Interspeech (USB) · no summary yetWilliam C. Chen et al.2025 · 4 citations
  22. Rethinking Word Similarity: Semantic Similarity through Classification Confusion ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetKaitlyn Zhou et al.2025 · 4 citations
  23. Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions ↗Proceedings of the Sixth Workshop on the Use of Computational Methods in the Study of Endangered Languages · no summary yetNay San et al.2023 · 4 citations
  24. Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes ↗arXiv (Cornell University) · no summary yetConnor Toups et al.2023 · 4 citations
  25. Concord begets concord: A Bayesian model of nominal concord typology ↗Proceedings of the Linguistic Society of America · no summary yetKyle Mahowald, Dan Jurafsky, Mark Josef Norris2021 · 4 citations
  26. The Dialogic Turn and the Performance of Gender: the English Canon 1782-2011. ↗DH · no summary yetFelix Muzny, Mark Algee‐Hewitt, Dan Jurafsky2016 · 4 citations
  27. Algorithmic Monocultures in Hiring ↗ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yetRishi Bommasani et al.2026 · 2 citations
  28. Verbalizing LLMs' assumptions to explain and control sycophancy ↗arXiv (Cornell University) · no summary yetMyra Cheng et al.2026 · 2 citations
  29. The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices? ↗arXiv (Cornell University) · no summary yetChen Shani et al.2026 · 2 citations
  30. Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity ↗arXiv (Cornell University) · no summary yetMoussa Doumbouya, Dan Jurafsky, Christopher D. Manning2025 · 2 citations
  31. Constructing Datasets From Public Police Body Camera Footage ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetJamie Rosas-Smith et al.2025 · 2 citations
  32. What can large language models do for sustainable food? ↗arXiv (Cornell University) · no summary yetAnna T. Thomas et al.2025 · 2 citations
  33. Bayesian scaling laws for in-context learning ↗arXiv (Cornell University) · no summary yetAryaman Arora et al.2024 · 2 citations
  34. Coming into relations: How communication reveals and persuades relational decisions ↗Social Networks · no summary yetDaniel A. McFarland et al.2024 · 2 citations
  35. Modular Domain Adaptation ↗Findings of the Association for Computational Linguistics: ACL 2022 · no summary yetJunshen Chen, Dallas Card, Dan Jurafsky2022 · 2 citations
  36. Speech and Language Processing Pearson New International Edition ↗no summary yetDaniel S. Jurafsky, Martin, James2013 · 2 citations
  37. Who Leads Whom: Topical Lead-Lag Analysis across corpora ↗no summary yetXiaolin Shi et al.2010 · 2 citations
  38. Proceedings of ACL-08: HLT ↗The Association for Computational Linguistics · no summary yetSharon J. Goldwater, Dan Jurafsky, Christopher D. Manning2008 · 2 citations
  39. Identifying semantic relations in text ↗Morgan Kaufmann Publishers Inc. eBooks · no summary yetDaniel Gildea, Daniel S. Jurafsky2003 · 2 citations
  40. The Role of the Lemma in Form Variation ↗no summary yetCarlos Gussenhoven et al.2000 · 2 citations
  41. An On-Line Model of Human Sentence Interpretation ↗eScholarship (California Digital Library) · no summary yetDaniel S. Jurafsky1991 · 2 citations
  42. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation
  43. Verbalizing LLMs' Assumptions About the User to Calibrate Expectations and Reduce Sycophancy ↗Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yetMyra Cheng et al.2026 · 1 citation
  44. Beyond Tokens: Concept-Level Training Objectives for LLMs ↗Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetLaya Iyer et al.2026 · 1 citation
  45. Cognitive offloading and the speedup illusion in human-AI interaction ↗arXiv (Cornell University) · no summary yetSunny Yu et al.2026 · 1 citation
  46. Mechanistic evaluation of Transformers and state space models ↗arXiv (Cornell University) · no summary yetAryaman Arora et al.2025 · 1 citation
  47. Transcribe, Translate, or Transliterate: An Investigation of Intermediate Representations in Spoken Language Models ↗IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · no summary yetTolúlọpe Ògúnremí et al.2025 · 1 citation
  48. SumTablets: A Transliteration Dataset of Sumerian Tablets ↗Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) · no summary yetCole Simmons, Richard Diehl Martinez, Dan Jurafsky2024 · 1 citation
  49. Data Checklist: On Unit-Testing Datasets with Usable Information ↗arXiv (Cornell University) · no summary yetHeidi C. Zhang et al.2024 · 1 citation
  50. How random is the review outcome? A systematic study of the impact of external factors on eLife peer review ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetWeixin Liang et al.2023 · 1 citation
  51. Authenticity in America: Class Distinctions in Potato Chip Advertising ↗Routledge eBooks · no summary yetJoshua Freedman, Dan Jurafsky2018 · 1 citation
  52. The EventStatus Corpus ↗Americanae (AECID Library) · no summary yetHuang Ruihong, Daniel S. Jurafsky, Ellen Riloff2017 · 1 citation
  53. The Users Who Say ‘Ni': Audience Identification in Chinese-language Restaurant Reviews ↗Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yetRob Voigt, Dan Jurafsky2015 · 1 citation
  54. Learning the central events and participants in unlabeled text ↗International Conference on Machine Learning · no summary yetNathanael Chambers, Dan Jurafsky2012 · 1 citation
  55. Learning Attitudes and Attributes from Online Reviews ↗no summary yetJulian McAuley, Jure Leskovec, Dan Jurafsky2012 · 1 citation
  56. Pale LagerThe Pale Lager Model ↗no summary yetJulian McAuley, Jure Leskovec, Dan Jurafsky2012 · 1 citation
  57. Sex, food, and words ↗ACM Symposium on User Interface Software and Technology (UIST) · no summary yetDan Jurafsky2011 · 1 citation
  58. Coling 2010: Posters ↗International Conference on Computational Linguistics · no summary yetChu‐Ren Huang, Dan Jurafsky2010 · 1 citation
  59. NXT Switchboard Annotations ↗Americanae (AECID Library) · no summary yetSasha Calhoun et al.2009 · 1 citation
  60. A preliminary study of mandarin filled pause ↗no summary yetYuan Zhao, Dan Jurafsky2005 · 1 citation
  61. Which Predictability Measures Affect Content Word Durations? ↗no summary yetAlan Bell et al.2002 · 1 citation
  62. Catherine Pelachaud, Norman I. Badler, and Mark Steedman ↗no summary yetRisto Miikkulainen et al.1996 · 1 citation
  63. LLMs as Oracles: Reliance on LLMs for Subjective Personal Questions ↗arXiv (Cornell University) · no summary yetMyra Cheng et al.2026
  64. Social calibration of sycophantic AI—Response ↗Science · no summary yetMyra Cheng et al.2026
  65. Warning labels shift perceptions of sycophantic AI, but not its influence ↗arXiv (Cornell University) · no summary yetLujain Ibrahim et al.2026
  66. PreFT: Prefill-only finetuning for efficient inference ↗arXiv (Cornell University) · no summary yetAndrew Lanpouthakoun et al.2026
  67. Turning Speech Language Models into Multilingual Listeners ↗arXiv (Cornell University) · no summary yetTolúlọpe Ògúnremí et al.2026
  68. Evaluating Commercial AI Chatbots as News Intermediaries ↗arXiv (Cornell University) · no summary yetMirac Süzgün et al.2026
  69. string2string Studio: An Interactive, In-Browser Platform for String-to-String Algorithms ↗arXiv (Cornell University) · no summary yetMirac Süzgün et al.2026
  70. Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Models ↗arXiv (Cornell University) · no summary yetChristine Zhang, Dan Jurafsky, Chen Shani2026
  71. CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition ↗arXiv (Cornell University) · no summary yetMartijn Bartelds et al.2025
  72. Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations ↗arXiv (Cornell University) · no summary yetYu, Sunny et al.2025
  73. Babbage in Babylon: Pioneering Deep Learning Approaches to Sumerian Cuneiform ↗Stanford Digital Repository · no summary yetCole Simmons et al.2024
  74. Escalation of Police Traffic Stops ↗OSF Preprints (OSF Preprints) · no summary yetNicholas Paul Camp et al.2023
  75. Diversifying History ↗no summary yetStephan Risi et al.2021
  76. Putting the Humanity into Linguistics ↗Routledge eBooks · no summary yetDan Jurafsky2019
  77. Robust Deep Semantics for Language Understanding ↗no summary yetChristopher D. Manning, Dan Jurafsky, Percy Liang2018
  78. Easy Does It: More Usable CAPTCHAs ↗no summary yetElie Bursztein et al.2015
  79. ペルシア王は「天ぷら」がお好き? : 味と語源でたどる食の人類史 ↗早川書房 eBooks · no summary yetDan Jurafsky, 明恵 小野木2015
  80. Extracting Social Meaning from Everyday Language: Food, Dating, and Innovation ↗2015 AAAS Annual Meeting (12-16 February 2015) · no summary yetDan Jurafsky2015
  81. How to ask for a favor: A case study on the success of altruistic requests. arXiv preprint arXiv:1405.3282 ↗no summary yetTim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky2014
  82. 2009, ‘Textual Entailment Features for Machine Translation Evaluation ↗no summary yetMichel Galley, Dan Jurafsky, Christopher D. Manning2014

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