James H. Martin
James H. Martin
Professor of Computer Science, University of Colorado Boulder
Verified email at - Homepage
Cited by
Cited by
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
D Jurafsky, JH Martin
Prentice Hall, 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
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
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
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
Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition
JH Martin
Pearson/Prentice Hall, 2009
A Computational Model of Metaphor Interpretation
JH Martin
Academic Press Professional, Inc., 1990
Speech and language processing. Vol. 3
D Jurafsky, JH Martin
US: Prentice Hall, 2014
The Berkeley UNIX consultant project
R Wilensky
Wissensbasierte Systeme, 286-296, 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
Speech and language processing (draft)
D Jurafsky, JH Martin
preparation [cited 2020 June 1] Available from: https://web. stanford. edu …, 2018
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
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
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
Towards robust semantic role labeling
SS Pradhan, W Ward, JH Martin
Computational linguistics 34 (2), 289-310, 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
Dialog systems and chatbots
D Jurafsky, JH Martin
Speech and language processing 3, 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
Speech and language processing: An introduction to natural language processing
D Jurasky, JH Martin
Computational Linguistics and Speech Recognition. Prentice Hall, New Jersey, 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
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