Most cited papers from Nuance Communications (United States)
What are the most cited papers from Nuance Communications (United States)?
The most cited paper from Nuance Communications (United States) is "Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine" (Peter Lee, Sébastien Bubeck, Joseph Petro, 2023), with 1,755 citations. Next come "Alignment as a consequence of expectation adaptation: Syntactic priming is affected by the prime’s prediction error given both prior and recent experience" (469) and "CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies" (370).
Showing 50 of 61 papers. Every paper with more than 22 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine Peter Lee, Sébastien Bubeck, Joseph Petro · New England Journal of Medicine | 29 Mar 2023 | 1,755 |
| 2 | Alignment as a consequence of expectation adaptation: Syntactic priming is affected by the prime’s prediction error given both prior and recent experience T. Florian Jaeger, Neal Snider · Cognition | 24 Jan 2013 | 469 |
| 3 | CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies Daniel Zeman et al. | 2017 | 370 |
| 4 | TOEFL11: A CORPUS OF NON‐NATIVE ENGLISH Daniel Blanchard, Joel Tetreault, Derrick Higgins et al. · ETS Research Report Series | Dec 2013 | 207 |
| 5 | The source ambiguity problem: Distinguishing the effects of grammar and processing on acceptability judgments Philip Hofmeister, T. Florian Jaeger, Inbal Arnon et al. · Language and Cognitive Processes | 18 Oct 2011 | 198 |
| 6 | The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue Sasha Calhoun, Jean Carletta, Jason Brenier et al. · Language Resources and Evaluation | 10 May 2010 | 178 |
| 7 | A survey of biometric technology based on hand shape Nicolae Duta · Pattern Recognition | 4 Mar 2009 | 164 |
| 8 | A cross-linguistic investigation of the site of initiation in same-turn self-repair Barbara A. Fox, Fay Wouk, Makoto Hayashi et al. · Cambridge University Press eBooks | 17 Sep 2009 | 151 |
| 9 | Genones: generalized mixture tying in continuous hidden Markov model-based speech recognizers Vassilios Digalakis, Peter Monaco, Hy Murveit · IEEE Transactions on Speech and Audio Processing | Jul 1996 | 130 |
| 10 | Large margin hidden Markov models for speech recognition Hui Jiang, Xinwei Li, Chaojun Liu · IEEE Transactions on Audio Speech and Language Processing | 23 Aug 2006 | 125 |
| 11 | On the Optimality of the Backward Greedy Algorithm for the Subset Selection Problem Christophe Couvreur, Yoram Bresler · SIAM Journal on Matrix Analysis and Applications | 2000 | 118 |
| 12 | White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 1 Marilyn J. Siegel, Ravi Kiran Kaza, David N. Bolus et al. · Journal of Computer Assisted Tomography | 2016 | 109 |
| 13 | Constraints on the social meaning of released /t/: A production and perception study of U.S. politicians Robert J. Podesva, Jermay J. Reynolds, Patrick Callier et al. · Language Variation and Change | 20 Feb 2015 | 85 |
| 14 | Identifying Smokers with a Medical Extraction System Cheryl Clark, Kelly D. Good, L. Jezierny et al. · Journal of the American Medical Informatics Association | 18 Oct 2007 | 83 |
| 15 | Speaker indexing in large audio databases using anchor models Douglas E. Sturim, D.A. Reynolds, Elliot Singer et al. | 13 Nov 2002 | 83 |
| 16 | Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology Nur Syazana Yildirim et al. | 11 May 2024 | 78 |
| 17 | Robustness to telephone handset distortion in speaker recognition by discriminative feature design Larry P. Heck, Yochai Konig, Kemal Sönmez et al. · Speech Communication | Jun 2000 | 75 |
| 18 | The Dialog State Tracking Challenge Series J. D. Williams, Matthew Henderson, Antoine Raux et al. · AI Magazine | Dec 2014 | 73 |
| 19 | MCN: A comprehensive corpus for medical concept normalization Yen-Fu Luo, Weiyi Sun, Anna Rumshisky · Journal of Biomedical Informatics | 23 Feb 2019 | 66 |
| 20 | Text de-identification for privacy protection: A study of its impact on clinical text information content Stéphane M. Meystre, Óscar Ferrández, F Jeffrey Friedlin et al. · Journal of Biomedical Informatics | 3 Feb 2014 | 66 |
| 21 | Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text Brett R. South, Danielle L. Mowery, Ying Suo et al. · Journal of Biomedical Informatics | 20 May 2014 | 65 |
| 22 | Analyzing Schema.org Peter F. Patel‐Schneider · Lecture notes in computer science | 2014 | 64 |
| 23 | SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering Héctor Llorens, Nathanael Chambers, Naushad UzZaman et al. | 2015 | 63 |
| 24 | White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 2 W. Dennis Foley, William P. Shuman, Marilyn J. Siegel et al. · Journal of Computer Assisted Tomography | 2016 | 61 |
| 25 | Brief Report: Joint Attention and Information Processing in Children with Higher Functioning Autism Spectrum Disorders Peter Clive Mundy, Kwanguk Kenny Kim, Nancy Susan McIntyre et al. · Journal of Autism and Developmental Disorders | 9 Apr 2016 | 59 |
| 26 | State-based Gaussian selection in large vocabulary continuous speech recognition using HMMs Mark Gales, K.M. Knill, S.J. Young · IEEE Transactions on Speech and Audio Processing | Mar 1999 | 58 |
| 27 | A data-driven non-intrusive measure of speech quality and intelligibility Dushyant Sharma, Yu Wang, Patrick A. Naylor et al. · Speech Communication | 30 Apr 2016 | 57 |
| 28 | Big Data and Machine Learning—Strategies for Driving This Bus: A Summary of the 2016 Intersociety Summer Conference Jonathan B. Kruskal, Seth J. Berkowitz, J. Raymond Geis et al. · Journal of the American College of Radiology | 31 Mar 2017 | 54 |
| 29 | Universal Dependencies for Portuguese Alexandre Rademaker, Fabricio Chalub, Livy Real et al. · University of Southern Denmark Research Portal (University of Southern Denmark) | 2017 | 51 |
| 30 | Dialect/Accent Classification Using Unrestricted Audio Rongqing Huang, John H. L. Hansen, Pongtep Angkititrakul · IEEE Transactions on Audio Speech and Language Processing | 23 Jan 2007 | 47 |
| 31 | A Lossy Source Coding Interpretation of Wyner’s Common Information Ge Xu, Wei Liu, Biao Chen · IEEE Transactions on Information Theory | 9 Dec 2015 | 46 |
| 32 | White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 3 Carlo Nicola De Cecco, Uwe Joseph Schoepf, Lynne S. Steinbach et al. · Journal of Computer Assisted Tomography | 18 Nov 2016 | 45 |
| 33 | Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation Jeffrey P. Ferraro, Hal Daumé, Scott L. DuVall et al. · Journal of the American Medical Informatics Association | 14 Mar 2013 | 45 |
| 34 | SICK-BR: A Portuguese Corpus for Inference Livy Real, A. C. RODRIGUES, Andressa Vieira e Silva et al. · Lecture notes in computer science | 2018 | 44 |
| 35 | The stability and validity of automated vocal analysis in preverbal preschoolers with autism spectrum disorder Tiffany G. Woynaroski, D. Kimbrough Oller, Bahar Keçeli-Kaysılı et al. · Autism Research | 26 Jul 2016 | 44 |
| 36 | Joint Parsing and Disfluency Detection in Linear Time Mohammad Sadegh Rasooli, Joel Tetreault | 2013 | 44 |
| 37 | Context-Dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System D.J. Kershaw, Anthony J. Robinson, Mike M. Hochberg | 27 Nov 1995 | 43 |
| 38 | Phoneme restoration and empirical coverage of Interactive Activation and Adaptive Resonance models of human speech processing Stephen Grossberg, Sohrob Kazerounian · The Journal of the Acoustical Society of America | Aug 2016 | 42 |
| 39 | School of Block–Review of Blockchain for the Radiologists Selwan B. Abdullah, Steven Rothenberg, Eliot L. Siegel et al. · Academic Radiology | 6 Dec 2019 | 41 |
| 40 | Supervised Detection and Unsupervised Discovery of Pronunciation Error Patterns for Computer-Assisted Language Learning Yow-Bang Wang, Lin-shan Lee · IEEE/ACM Transactions on Audio Speech and Language Processing | 5 Jan 2015 | 41 |
| 41 | Automated Vocal Analysis of Children With Hearing Loss and Their Typical and Atypical Peers Mark VanDam, D. Kimbrough Oller, Sophie E. Ambrose et al. · Ear and Hearing | 14 Jan 2015 | 38 |
| 42 | Efficient training algorithms for HMMs using incremental estimation Yoshihiko Gotoh, Mike M. Hochberg, H.F. Silverman · IEEE Transactions on Speech and Audio Processing | 1998 | 35 |
| 43 | Bridging planning and execution: Temporal planning of syllables Christine R. Mooshammer, Louis Goldstein, Hosung Nam et al. · Journal of Phonetics | 29 Mar 2012 | 35 |
| 44 | DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning Jen-Tang Lu, Rupert Brooks, Stefan Hahn et al. · Lecture notes in computer science | 2019 | 33 |
| 45 | Rapid speech recognizer adaptation to new speakers Vassilios Digalakis, H. Grady Collier, Steven A. Berkowitz et al. | 1999 | 32 |
| 46 | Automated Assessment of Child Vocalization Development Using LENA Jeffrey A. Richards, Dongxin Xu, Jill Gilkerson et al. · Journal of Speech Language and Hearing Research | 13 Jun 2017 | 30 |
| 47 | LFG Generation by Grammar Specialization Jürgen Wedekind, Ronald M. Kaplan · Computational Linguistics | 16 Mar 2012 | 30 |
| 48 | VoiceCode Alain Désilets, David C. Fox, Stuart A. Norton | 21 Apr 2006 | 30 |
| 49 | A Single-Channel Non-Intrusive C50 Estimator Correlated With Speech Recognition Performance Pablo Peso Parada, Dushyant Sharma, José Enrique García Laínez et al. · IEEE/ACM Transactions on Audio Speech and Language Processing | 25 Jan 2016 | 28 |
| 50 | ML parameter estimation of a multiscale stochastic process using the EM algorithm A. Kannan, Mari Ostendorf, William Clem Karl et al. · IEEE Transactions on Signal Processing | Jun 2000 | 28 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.