| Year |
Citation |
Score |
| 2022 |
Card D, Chang S, Becker C, Mendelsohn J, Voigt R, Boustan L, Abramitzky R, Jurafsky D. Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration. Proceedings of the National Academy of Sciences of the United States of America. 119: e2120510119. PMID 35905322 DOI: 10.1073/pnas.2120510119 |
0.302 |
|
| 2020 |
Mendelsohn J, Tsvetkov Y, Jurafsky D. A Framework for the Computational Linguistic Analysis of Dehumanization. Frontiers in Artificial Intelligence. 3: 55. PMID 33733172 DOI: 10.3389/Frai.2020.00055 |
0.411 |
|
| 2020 |
Miner AS, Haque A, Fries JA, Fleming SL, Wilfley DE, Terence Wilson G, Milstein A, Jurafsky D, Arnow BA, Stewart Agras W, Fei-Fei L, Shah NH. Assessing the accuracy of automatic speech recognition for psychotherapy. Npj Digital Medicine. 3: 82. PMID 33597677 DOI: 10.1038/s41746-020-0285-8 |
0.421 |
|
| 2020 |
Turnwald BP, Anderson KG, Jurafsky D, Crum AJ. Five-star prices, appealing healthy item descriptions? Expensive restaurants' descriptive menu language. Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association. PMID 32940527 DOI: 10.1037/Hea0001025 |
0.41 |
|
| 2020 |
Miner AS, Haque A, Fries JA, Fleming SL, Wilfley DE, Terence Wilson G, Milstein A, Jurafsky D, Arnow BA, Stewart Agras W, Fei-Fei L, Shah NH. Assessing the accuracy of automatic speech recognition for psychotherapy. Npj Digital Medicine. 3: 82. PMID 32550644 DOI: 10.1038/s41746-020-0285-8 |
0.421 |
|
| 2020 |
Koenecke A, Nam A, Lake E, Nudell J, Quartey M, Mengesha Z, Toups C, Rickford JR, Jurafsky D, Goel S. Racial disparities in automated speech recognition. Proceedings of the National Academy of Sciences of the United States of America. PMID 32205437 DOI: 10.1073/Pnas.1915768117 |
0.456 |
|
| 2020 |
Hahn M, Jurafsky D, Futrell R. Universals of word order reflect optimization of grammars for efficient communication. Proceedings of the National Academy of Sciences of the United States of America. PMID 31964811 DOI: 10.1073/Pnas.1910923117 |
0.457 |
|
| 2020 |
Pryzant R, Diehl Martinez R, Dass N, Kurohashi S, Jurafsky D, Yang D. Automatically Neutralizing Subjective Bias in Text Proceedings of the Aaai Conference On Artificial Intelligence. 34: 480-489. DOI: 10.1609/aaai.v34i01.5385 |
0.374 |
|
| 2020 |
Lucy L, Demszky D, Bromley P, Jurafsky D. Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas U.S. History Textbooks: Aera Open. 6: 233285842094031. DOI: 10.1177/2332858420940312 |
0.396 |
|
| 2018 |
Garg N, Schiebinger L, Jurafsky D, Zou J. Word embeddings quantify 100 years of gender and ethnic stereotypes. Proceedings of the National Academy of Sciences of the United States of America. PMID 29615513 DOI: 10.1073/Pnas.1720347115 |
0.437 |
|
| 2018 |
Prabhakaran V, Griffiths C, Su H, Verma P, Morgan N, Eberhardt JL, Jurafsky D. Detecting Institutional Dialog Acts in Police Traffic Stops Transactions of the Association For Computational Linguistics. 6: 467-481. DOI: 10.1162/Tacl_A_00031 |
0.376 |
|
| 2018 |
Jurgens D, Kumar S, Hoover R, McFarland D, Jurafsky D. Measuring the Evolution of a Scientific Field through Citation Frames Transactions of the Association For Computational Linguistics. 6: 391-406. DOI: 10.1162/Tacl_A_00028 |
0.331 |
|
| 2017 |
Voigt R, Camp NP, Prabhakaran V, Hamilton WL, Hetey RC, Griffiths CM, Jurgens D, Jurafsky D, Eberhardt JL. Language from police body camera footage shows racial disparities in officer respect. Proceedings of the National Academy of Sciences of the United States of America. PMID 28584085 DOI: 10.1073/Pnas.1702413114 |
0.325 |
|
| 2017 |
Turnwald BP, Jurafsky D, Conner A, Crum AJ. Reading Between the Menu Lines: Are Restaurants' Descriptions of "Healthy" Foods Unappealing? Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association. PMID 28541069 DOI: 10.1037/Hea0000501 |
0.359 |
|
| 2017 |
LEE H, SURDEANU M, JURAFSKY D. A scaffolding approach to coreference resolution integrating statistical and rule-based models Natural Language Engineering. 23: 733-762. DOI: 10.1017/S1351324917000109 |
0.404 |
|
| 2017 |
Maas AL, Qi P, Xie Z, Hannun AY, Lengerich CT, Jurafsky D, Ng AY. Building DNN acoustic models for large vocabulary speech recognition Computer Speech and Language. 41: 195-213. DOI: 10.1016/J.Csl.2016.06.007 |
0.453 |
|
| 2015 |
Li J, Luong MT, Jurafsky D. A hierarchical neural Autoencoder for paragraphs and documents Acl-Ijcnlp 2015 - 53rd Annual Meeting of the Association For Computational Linguistics and the 7th International Joint Conference On Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference. 1: 1106-1115. |
0.381 |
|
| 2015 |
Li J, Luong MT, Jurafsky D, Hovy E. When are tree structures necessary for deep learning of representations? Conference Proceedings - Emnlp 2015: Conference On Empirical Methods in Natural Language Processing. 2304-2314. |
0.34 |
|
| 2015 |
Li J, Jurafsky D. Do multi-sense embeddings improve natural language understanding? Conference Proceedings - Emnlp 2015: Conference On Empirical Methods in Natural Language Processing. 1722-1732. |
0.427 |
|
| 2014 |
Jurafsky D, Chahuneau V, Routledge BR, Smith NA. Narrative framing of consumer sentiment in online restaurant reviews First Monday. 19. DOI: 10.5210/Fm.V19I4.4944 |
0.307 |
|
| 2014 |
Bursztein E, Moscicki A, Fabry C, Bethard S, Mitchell JC, Jurafsky D. Easy does it: More usable CAPTCHAs Conference On Human Factors in Computing Systems - Proceedings. 2637-2646. DOI: 10.1145/2556288.2557322 |
0.634 |
|
| 2013 |
Lee H, Chang A, Peirsman Y, Chambers N, Surdeanu M, Jurafsky D. Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules Computational Linguistics. 39: 885-916. DOI: 10.1162/Coli_A_00152 |
0.393 |
|
| 2013 |
McFarland DA, Ramage D, Chuang J, Heer J, Manning CD, Jurafsky D. Differentiating language usage through topic models Poetics. 41: 607-625. DOI: 10.1016/J.Poetic.2013.06.004 |
0.373 |
|
| 2013 |
Ranganath R, Jurafsky D, McFarland DA. Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates Computer Speech and Language. 27: 89-115. DOI: 10.1016/J.Csl.2012.01.005 |
0.456 |
|
| 2013 |
Recasens M, Can M, Jurafsky D. Same referent, different words: Unsupervised mining of opaque coreferent mentions Naacl Hlt 2013 - 2013 Conference of the North American Chapter of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference. 897-906. |
0.363 |
|
| 2013 |
Recasens M, Danescu-Niculescu-mizil C, Jurafsky D. Linguistic models for analyzing and detecting biased language Acl 2013 - 51st Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 1: 1650-1659. |
0.318 |
|
| 2012 |
Levin M, Krawczyk S, Bethard S, Jurafsky D. Citation-based bootstrapping for large-scale author disambiguation Journal of the American Society For Information Science and Technology. 63: 1030-1047. DOI: 10.1002/Asi.22621 |
0.717 |
|
| 2012 |
Spitkovsky VI, Alshawi H, Jurafsky D. Three dependency-and-boundary models for grammar induction Emnlp-Conll 2012 - 2012 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 688-698. |
0.318 |
|
| 2011 |
Freedman J, Jurafsky D. Authenticity in America: Class Distinctions in Potato Chip Advertising Gastronomica. 11: 46-54. DOI: 10.1525/Gfc.2012.11.4.46 |
0.375 |
|
| 2011 |
Spitkovsky VI, Alshawi H, Jurafsky D. Punctuation: Making a point in unsupervised dependency parsing Conll 2011 - Fifteenth Conference On Computational Natural Language Learning, Proceedings of the Conference. 19-28. |
0.437 |
|
| 2011 |
Spitkovsky VI, Alshawi H, Chang AX, Jurafsky D. Unsupervised dependency parsing without gold part-of-speech tags Emnlp 2011 - Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 1281-1290. |
0.381 |
|
| 2010 |
Bethard S, Jurafsky D. Who should i Cite?: Learning literature search models from citation behavior International Conference On Information and Knowledge Management, Proceedings. 609-617. DOI: 10.1145/1871437.1871517 |
0.713 |
|
| 2010 |
Bursztein E, Bethard S, Fabry C, Mitchell JC, Jurafsky D. How good are humans at solving CAPTCHAs? A large scale evaluation Proceedings - Ieee Symposium On Security and Privacy. 399-413. DOI: 10.1109/SP.2010.31 |
0.672 |
|
| 2010 |
Goldwater S, Jurafsky D, Manning CD. Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates Speech Communication. 52: 181-200. DOI: 10.1016/J.Specom.2009.10.001 |
0.48 |
|
| 2010 |
Calhoun S, Carletta J, Brenier JM, Mayo N, Jurafsky D, Steedman M, Beaver D. The NXT-format Switchboard Corpus: A rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue Language Resources and Evaluation. 44: 387-419. DOI: 10.1007/s10579-010-9120-1 |
0.571 |
|
| 2010 |
Chambers N, Jurafsky D. Improving the use of pseudo-words for evaluating selectional preferences Acl 2010 - 48th Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 445-453. |
0.385 |
|
| 2010 |
Spitkovsky VI, Jurafsky D, Alshawi H. Profiting from mark-up: Hyper-text annotations for guided parsing Acl 2010 - 48th Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 1278-1287. |
0.387 |
|
| 2010 |
Spitkovsky VI, Alshawi H, Jurafsky D. From baby steps to leapfrog: How "Less is more" in unsupervised dependency parsing Naacl Hlt 2010 - Human Language Technologies: the 2010 Annual Conference of the North American Chapter of the Association For Computational Linguistics, Proceedings of the Main Conference. 751-759. |
0.338 |
|
| 2010 |
Cer D, Manning CD, Jurafsky D. The best lexical metric for phrase-based statistical MT system optimization Naacl Hlt 2010 - Human Language Technologies: the 2010 Annual Conference of the North American Chapter of the Association For Computational Linguistics, Proceedings of the Main Conference. 555-563. |
0.765 |
|
| 2009 |
Sung YH, Jurafsky D. Hidden conditional random fields for phone recognition Proceedings of the 2009 Ieee Workshop On Automatic Speech Recognition and Understanding, Asru 2009. 107-112. DOI: 10.1109/ASRU.2009.5373329 |
0.336 |
|
| 2009 |
Zhao Y, Jurafsky D. The effect of lexical frequency and Lombard reflex on tone hyperarticulation Journal of Phonetics. 37: 231-247. DOI: 10.1016/J.Wocn.2009.03.002 |
0.416 |
|
| 2009 |
Bell A, Brenier JM, Gregory M, Girand C, Jurafsky D. Predictability effects on durations of content and function words in conversational English Journal of Memory and Language. 60: 92-111. DOI: 10.1016/J.Jml.2008.06.003 |
0.756 |
|
| 2009 |
Padó S, Cer D, Galley M, Jurafsky D, Manning CD. Measuring machine translation quality as semantic equivalence: A metric based on entailment features Machine Translation. 23: 181-193. DOI: 10.1007/S10590-009-9060-Y |
0.733 |
|
| 2009 |
Padó S, Galley M, Jurafsky D, Manning C. Robust machine translation evaluation with entailment features Acl-Ijcnlp 2009 - Joint Conf. of the 47th Annual Meeting of the Association For Computational Linguistics and 4th Int. Joint Conf. On Natural Language Processing of the Afnlp, Proceedings of the Conf.. 297-305. |
0.397 |
|
| 2009 |
Ranganath R, Jurafsky D, McFarland D. It's not you, it's me: Detecting flirting and its misperception in speed-dates Emnlp 2009 - Proceedings of the 2009 Conference On Empirical Methods in Natural Language Processing: a Meeting of Sigdat, a Special Interest Group of Acl, Held in Conjunction With Acl-Ijcnlp 2009. 334-342. |
0.325 |
|
| 2008 |
Goldwater S, Jurafsky D, Manning CD. Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase ASR error rates Acl-08: Hlt - 46th Annual Meeting of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 380-388. |
0.361 |
|
| 2008 |
Snow R, O'Connor B, Jurafsky D, Ng AY. Cheap and fast - But is it good? Evaluating non-expert annotations for natural language tasks Emnlp 2008 - 2008 Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference: a Meeting of Sigdat, a Special Interest Group of the Acl. 254-263. |
0.352 |
|
| 2008 |
Rangarajan Sridhar VK, Nenkova A, Narayanan S, Jurafsky D. Detecting prominence in conversational speech: Pitch accent, givenness and focus Proceedings of the 4th International Conference On Speech Prosody, Sp 2008. 453-456. |
0.348 |
|
| 2007 |
Strom V, Nenkova A, Clark R, Vazquez-Alvarez Y, Brenier J, King S, Jurafsky D. Modelling prominence and emphasis improves unit-selection synthesis Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2: 1169-1172. |
0.349 |
|
| 2007 |
Nenkova A, Jurafsky D. Automatic detection of contrastive elements in spontaneous speech 2007 Ieee Workshop On Automatic Speech Recognition and Understanding, Asru 2007, Proceedings. 201-206. |
0.355 |
|
| 2007 |
Nenkova A, Brenier J, Kothari A, Calhoun S, Whitton L, Beaver D, Jurafsky D. To memorize or to predict: Prominence labeling in conversational speech Naacl Hlt 2007 - Human Language Technologies 2007: the Conference of the North American Chapter of the Association For Computational Linguistics, Proceedings of the Main Conference. 9-16. |
0.586 |
|
| 2006 |
Brenier JM, Nenkova A, Kothari A, Whitton L, Beaver D, Jurafsky D. The (non)utility of linguistic features for predicting prominence in spontaneous speech 2006 Ieee Acl Spoken Language Technology Workshop, Slt 2006, Proceedings. 54-57. DOI: 10.1109/SLT.2006.326815 |
0.629 |
|
| 2006 |
Li J, Zheng TF, Byrne W, Jurafsky D. A dialectal Chinese speech recognition framework Journal of Computer Science and Technology. 21: 106-115. DOI: 10.1007/S11390-006-0106-9 |
0.505 |
|
| 2005 |
Yuan J, Jurafsky D. Detection of questions in Chinese conversational speech Proceedings of Asru 2005: 2005 Ieee Automatic Speech Recognition and Understanding Workshop. 2005: 396-401. DOI: 10.1109/ASRU.2005.1566536 |
0.427 |
|
| 2005 |
Pradhan S, Hacioglu K, Krugler V, Ward W, Martin JH, Jurafsky D. Support vector learning for semantic argument classification Machine Learning. 60: 11-39. DOI: 10.1007/S10994-005-0912-2 |
0.651 |
|
| 2005 |
Zheng Y, Sproat R, Gu L, Shafran I, Zhou H, Su Y, Jurafsky D, Starr R, Yoon SY. Accent detection and speech recognition for Shanghai-accented Mandarin 9th European Conference On Speech Communication and Technology. 217-220. |
0.379 |
|
| 2005 |
Yuan J, Brenier JM, Jurafsky D. Pitch accent prediction: Effects of genre and speaker 9th European Conference On Speech Communication and Technology. 1409-1412. |
0.383 |
|
| 2005 |
Pradhan S, Ward W, Hacioglu K, Martin JH, Jurafsky D. Semantic role labeling using different syntactic views Acl-05 - 43rd Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 581-588. |
0.63 |
|
| 2005 |
Brenier JM, Cer DM, Jurafsky D. The detection of emphatic words using acoustic and lexical features 9th European Conference On Speech Communication and Technology. 3297-3300. |
0.804 |
|
| 2005 |
Bethard S, Yu H, Thornton A, Hatzivassiloglou V, Jurafsky D. Automatic extraction of opinion propositions and their holders Aaai Spring Symposium - Technical Report. 20-27. |
0.326 |
|
| 2005 |
Pradhan S, Hacioglu K, Ward W, Martin JH, Jurafsky D. Semantic role chunking combining complementary syntactic views Conll 2005 - Proceedings of the Ninth Conference On Computational Natural Language Learning. 217-220. |
0.622 |
|
| 2005 |
Snow R, Jurafsky D, Ng AY. Learning syntactic patterns for automatic hypernym discovery Advances in Neural Information Processing Systems. |
0.346 |
|
| 2004 |
Gahl S, Jurafsky D, Roland D. Verb subcategorization frequencies: American English corpus data, methodological studies, and cross-corpus comparisons. Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc. 36: 432-43. PMID 15641433 DOI: 10.3758/Bf03195591 |
0.739 |
|
| 2003 |
Gahl S, Menn L, Ramsberger G, Jurafsky DS, Elder E, Rewega M, Audrey LH. Syntactic frame and verb bias in aphasia: plausibility judgments of undergoer-subject sentences. Brain and Cognition. 53: 223-8. PMID 14607152 DOI: 10.1016/S0278-2626(03)00114-3 |
0.332 |
|
| 2003 |
Bell A, Jurafsky D, Fosler-Lussier E, Girand C, Gregory M, Gildea D. Effects of disfluencies, predictability, and utterance position on word form variation in English conversation Journal of the Acoustical Society of America. 113: 1001-1024. PMID 12597194 DOI: 10.1121/1.1534836 |
0.77 |
|
| 2003 |
Pradhan S, Hacioglu K, Ward W, Martin JH, Jurafsky D. Semantic role parsing: Adding semantic structure to unstructured text Proceedings - Ieee International Conference On Data Mining, Icdm. 629-632. |
0.387 |
|
| 2002 |
Gildea D, Jurafsky D. Automatic labeling of semantic roles Computational Linguistics. 28: X-288. DOI: 10.1162/089120102760275983 |
0.521 |
|
| 2002 |
Narayanan S, Jurafsky D. A Bayesian model predicts human parse preference and reading times in sentence processing Advances in Neural Information Processing Systems. |
0.339 |
|
| 2001 |
Gregory M, Bell A, Jurafsky D, Raymond W. Frequency and predictability effects on the duration of content words in conversation The Journal of the Acoustical Society of America. 110: 2738-2738. DOI: 10.1121/1.4777508 |
0.75 |
|
| 2001 |
Jurafsky D, Bell A, Gregory M, Raymond WD. The effect of language model probability on pronunciation reduction Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2: 801-804. |
0.331 |
|
| 2000 |
Stolcke A, Coccaro N, Bates R, Taylor P, Van Ess-Dykema C, Ries K, Shriberg E, Jurafsky D, Martin R, Meteer M. Dialogue act modeling for automatic tagging and recognition of conversational speech Computational Linguistics. 26: 339-373. DOI: 10.1162/089120100561737 |
0.763 |
|
| 1998 |
Shriberg E, Bates R, Stolcke A, Taylor P, Jurafsky D, Ries K, Coccaro N, Martin R, Meteer M, van Ess-Dykema C. Can prosody aid the automatic classification of dialog acts in conversational speech? Language and Speech. 41: 443-92. PMID 10746366 DOI: 10.1177/002383099804100410 |
0.764 |
|
| 1998 |
Girand C, Bell A, Jurafsky D, Fosler‐Lussier E. The structure of repetition strings in the Switchboard corpus The Journal of the Acoustical Society of America. 104: 1819-1819. DOI: 10.1121/1.423448 |
0.428 |
|
| 1996 |
Jurafsky D. Universal tendencies in the semantics of the diminutive Language. 72: 533-578. DOI: 10.2307/416278 |
0.465 |
|
| 1996 |
Jurafsky D. A probabilistic model of lexical and syntactic access and disambiguation Cognitive Science. 20: 137-194. DOI: 10.1207/S15516709Cog2002_1 |
0.466 |
|
| 1995 |
Jurafsky D, Wooters C, Segal J, Stolcke A, Fosler E, Tajchman G, Morgan N. Using stochastic context-free grammar as a language model for speech recognition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1: 189-192. |
0.401 |
|
| 1993 |
Jurafsky D. Universals in the Semantics of the Diminutive Annual Meeting of the Berkeley Linguistics Society. 19: 423. DOI: 10.3765/bls.v19i1.1531 |
0.311 |
|
| 1992 |
Edwards J, Jurafsky D. William Marslen-Wilson (ed.) Lexical Representation and Process Studies in Language. 16: 229-240. DOI: 10.1075/Sl.16.1.16Wil |
0.344 |
|
| 1989 |
Jurafsky D. Understanding natural language. James Allen, (Benjamin/Cummings, Menlo Park, CA, 1987); 574 pages Artificial Intelligence. 38: 367-377. DOI: 10.1016/0004-3702(89)90038-6 |
0.337 |
|
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