James H. Martin

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Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Martha Stone PalmerProfessor of Linguistics, Computer Science, University of ColoradoVerified email at colorado.edu
Steven BethardAssociate Professor, University of ArizonaVerified email at arizona.edu
Sameer Pradhancemantix.org and University of PennsylvaniaVerified email at cemantix.org
Tamara SumnerProfessor in Cognitive and Computer Science, University of Colorado at BoulderVerified email at colorado.edu
Kadri HaciogluVP, Spoken Language Systems, Sensory Inc.Verified email at sensoryinc.com
Rodney NielsenUniversity of North TexasVerified email at UNT.edu
Dirk GrunwaldUniversity of ColoradoVerified email at colorado.edu
Leysia PalenProfessor of Computer Science & Professor of Information Science, University of Colorado BoulderVerified email at cs.colorado.edu
Kenneth M. AndersonUniversity of ColoradoVerified email at cs.colorado.edu
Guergana SavovaProfessor, HarvardVerified email at childrens.harvard.edu
Kirsten ButcherAssociate Professor of Instructional Design and Educational Technology, University of UtahVerified email at utah.edu
Gloria MarkProfessor of informatics, University of California, IrvineVerified email at uci.edu
Faisal AhmadGoogle IncVerified email at google.com
Sebastian de la ChicaMicrosoftVerified email at microsoft.com
Douglas SickerCarnegie Mellon UniversityVerified email at colorado.edu
Sarah ViewegUser Experience Researcher at TwitterVerified email at twitter.com
Michael MozerGoogle Research, Brain Team; University of ColoradoVerified email at colorado.edu
Philipp WetzlerGoogle Inc.Verified email at google.com
James MayfieldJohns Hopkins UniversityVerified email at jhu.edu

James H. Martin

Professor of Computer Science, University of Colorado Boulder

Verified email at colorado.edu - Homepage

Computational Linguistics Natural Language Processing Machine Learning


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Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition D Jurafsky, JH Martin Prentice Hall, 2000	13841*	2000
Shallow semantic parsing using support vector machines S Pradhan, W Ward, K Hacioglu, JH Martin, D Jurafsky Proceedings of the Human Language Technology Conference of the North …, 2004	501	2004
A vision for technology-mediated support for public participation & assistance in mass emergencies & disasters L Palen, KM Anderson, G Mark, J Martin, D Sicker, M Palmer, D Grunwald Proceedings of the 2010 ACM-BCS visions of computer science conference, 8, 2010	471	2010
Natural language processing to the rescue? extracting" situational awareness" tweets during mass emergency S Verma, S Vieweg, W Corvey, L Palen, J Martin, M Palmer, A Schram, ... Proceedings of the International AAAI Conference on Web and Social Media 5 …, 2011	419	2011
Support vector learning for semantic argument classification S Pradhan, K Hacioglu, V Krugler, W Ward, JH Martin, D Jurafsky Machine Learning 60 (1), 11-39, 2005	374	2005
Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition JH Martin Pearson/Prentice Hall, 2009	315	2009
A Computational Model of Metaphor Interpretation JH Martin Academic Press Professional, Inc., 1990	308	1990
Speech and language processing. Vol. 3 D Jurafsky, JH Martin US: Prentice Hall, 2014	230	2014
The Berkeley UNIX consultant project R Wilensky Wissensbasierte Systeme, 286-296, 1987	198	1987
Semantic role labeling using different syntactic views S Pradhan, W Ward, K Hacioglu, JH Martin, D Jurafsky Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005	178	2005
Speech and Language Processing: An introduction to speech recognition, computational linguistics and natural language processing D Jurafsky, JH Martin Upper Saddle River, NJ: Prentice Hall, 2008	176	2008
Speech and language processing (draft) D Jurafsky, JH Martin preparation [cited 2020 June 1] Available from: https://web. stanford. edu …, 2018	170	2018
Evidence-based static branch prediction using machine learning B Calder, D Grunwald, M Jones, D Lindsay, J Martin, M Mozer, B Zorn ACM Transactions on Programming Languages and Systems (TOPLAS) 19 (1), 188-222, 1997	152	1997
Towards comprehensive syntactic and semantic annotations of the clinical narrative D Albright, A Lanfranchi, A Fredriksen, WF Styler IV, C Warner, JD Hwang, ... Journal of the American Medical Informatics Association 20 (5), 922-930, 2013	144	2013
Towards robust semantic role labeling SS Pradhan, W Ward, JH Martin Computational linguistics 34 (2), 289-310, 2008	141	2008
Semantic role labeling by tagging syntactic chunks K Hacioglu, S Pradhan, W Ward, JH Martin, D Jurafsky Proceedings of the Eighth Conference on Computational Natural Language …, 2004	135	2004
Dialog systems and chatbots D Jurafsky, JH Martin Speech and language processing 3, 2017	128	2017
Semantic role parsing: Adding semantic structure to unstructured text S Pradhan, K Hacioglu, W Ward, JH Martin, D Jurafsky Third IEEE International Conference on Data Mining, 629-632, 2003	113	2003
Speech and language processing: An introduction to natural language processing D Jurasky, JH Martin Computational Linguistics and Speech Recognition. Prentice Hall, New Jersey, 2000	106	2000
Expressing rhetorical relations in instructional text: A case study of the purpose relation K Vander Linden, JH Martin Computational Linguistics 21 (1), 29-57, 1995	101	1995

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