- Philipp Wetzler, Steven Bethard, Heather Leary, Kirsten Butcher, Soheil Danesh Bahreini, Jin Zhao, James H. Martin, Tamara Sumner. “Characterizing and Predicting the Multifaceted Nature of Quality in Educational Web Resources, ACM Transactions on Interactive Intelligent Systems, 3(3), 2013.
- Daniel Albright, Arrick Lanfranchi, Anwen Fredriksen, William F Styler, Colin Warner, Jena D Hwang, Jinho D Choi, Dmitriy Dligach, Rodney D Nielsen, James Martin, Wayne Ward, Martha Palmer, Guergana K Savova. “Towards comprehensive syntactic and semantic annotations of the clinical narrative”, Journal of the American Medical Informatics Association, 20: 922–930. doi:10.1136/amiajnl-2012-001317, 2013.
- Rodney D. Nielsen, Wayne Ward and James H. Martin. Recognizing Entailment in Intelligent Tutoring Systems, Journal of Natural Language Engineering, 15(4): 479-501,2009.
- Kirsten Butcher, Sebastian de la Chica, Faisal Ahmad, Qianyi Gu, Tamara Sumner, and James H. Martin. "Conceptual Customization for Learning with Multimedia: DevelopingIndividual Instructional Experiences to Support Science Understanding", In Cognitive Effects of Multimedia Learning, Chapter XIV, edited by R. Zheng, Information Science Reference, 2009.
- Steven Bethard, Zhiyong Lu, James H. Martin, and Lawrence Hunter. Semantic Role Labeling for Protein Transport Predicates. BMC Bioinformatics. 2008 Jun 11;9(1):277.
- Sebastian de la Chica, Faisal Ahmad, Tamara Sumner, James H. Martin and Kirsten Butcher, Computational Foundations for Personalizing Instruction with Digital Libraries , International Journal on Digital Libraries, 9(1), 2008
- Kirsten Butcher, Sebastian de la Chica, Faisal Ahmad, Qiani Gu, Tamara Sumner, and James H. Martin, “Conceptual Customization for Learning with Multimedia: Developing individual instructional experiences to support science understanding”, In R. Zheng(Ed.), Cognitive Effects of Multimedia Learning. New York, NY: IGI Publishing, 2008.
- Rodney Rodney D. Nielsen, Wayne Ward and James H. Martin, “Soft computing inintelligent tutoring systems and educational assessment”, in Soft Computing Applications in Business, Bhanu Prasad (ed.),. Springer-Verlag, Heidelberg, Germany, 201-230, 2008.
- Sameer Pradhan, Wayne Ward and James H. Martin, "Towards Robust Semantic Role Labeling", Computational Linguistics, 34(2), 289-310, 2008.
- Steven Bethard, James H. Martin and Sara Klingenstein, “Finding Temporal Structure in Text: Machine Learning of Syntactic Temporal Relations”, International Journal of Semantic Computing, 1(4), 441-475, 2007.
- James H. Martin,"A Corpus-Based Analysis of Context Effects on Metaphor Processing", Corpus-Based Approaches to Metaphor and Metonymy, Stefan Th. Gries and Anatol Stefanowitsch (eds), Mouton de Gruyter, 2006.
- Sameer Pradhan, Kadri Hacioglu, Wayne Ward, Daniel Jurafsky and James H. Martin, "Support Vector Learning for Semantic Argument Classification", Machine Learning Journal, 60(1), 2005.
- James H. Martin, "N-grams", in Encyclopedia of Human-Computer Interaction, William S. Bainbridge (ed), Berkshire Publishing, 2004.
- James H. Martin, "Natural language processing", in Encyclopedia of Human-Computer Interaction, William S. Bainbridge (ed), Berkshire Publishing, 2004.
- Elizabeth R. Jessup and James H. Martin, Taking a Closer Look at the Latent Semantic Analysis Approach to Information Retrieval, in Computational Information Retrieval, Michael Berry (ed), SIAM Press, 2001.
- Robert Wilensky, David Chin, Marc Luria, James H. Martin, James Mayfield, and Dekai Wu, "The Berkeley UNIX Consultant Project: A Retrospective", Artificial Intelligence Review, 14(1), 2000.
- James H. Martin, "Representing UNIX Domain Metaphors", Artificial Intelligence Review, 14(4), 2000.
- Sergei Rodionov and James H. Martin, An Expert System-Based Approach to the Prediction of Interannual Variations in the North Atlantic Region, International Journal of Climatology, 19(9), 1999.
- Brad Calder, Dirk Grunwald, Michael Jones, Donald Lindsay, James H. Martin, Michael Mozer, and Benjamin Zorn, Evidence-Based Static Branch Prediction using Machine Learning, Transactions on Programming Languages and Systems, 19(1), 1997.
- Sergei Rodionov and James H. Martin, "A Knowledge-Based System for the Diagnosis and Prediction of Short-Term Climatic Changes in the North Atlantic", Journal of Climate, 9(8), 1996.
- James H. Martin, Computational Approaches to Figurative Language, Journal of Metaphor and Symbolic Activity, 11(1), 1996.
- James H. Martin and Karl Winklmann, "An Integrated Algorithm Analysis, Writing and Artificial Intelligence Course", SIGART Bulletin, 6(2), 1995.
- Keith Vander Linden and James H. Martin, Expressing Rhetorical Relations in Instructional Text: A Case Study of the Purpose Relation, Computational Linguistics, 21(1), 1995.
- James H. Martin, Metabank: A Knowledge-Base of Metaphoric Language Conventions, Computational Intelligence, 10(2), 1994.
- James H. Martin, "Computer Understanding of Conventional and Poetic Metaphor", in Research in Humanities Computing, N. Ide and S. Hockey (eds), Oxford University Press, 1994.
- Carl Block, Megan MacMillan, David Monarchi and James H. Martin, "A Prototype System for Extracting Objects and Relationships from Software Specifications", Heuristics: The Journal of Knowledge Engineering, 6(1), 1993.
- James H. Martin, Review of Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp, by Peter Norvig, in Artificial Intelligence, 64(1), 1993.
- James H. Martin, Computer Understanding of Conventional Metaphoric Language, Cognitive Science, 16(2), 1992.
- James H. Martin, Dan Fass and Elizabeth Hinkelman (eds), Computational Intelligence: Special Issue on Non-Literal Language, with D. Fass and Elizabeth Hinkelman (eds), 8(3), 1992.
- James H. Martin, Conventional Metaphor and the Lexicon, in Lexical Semantics and Knowledge Representation, J. Pustejovsky and S. Bergler (eds), Springer-Verlag, Lecture Notes in Artificial Intelligence, Berlin, 1992.
- James H. Martin, Review of Knowledge Representation and Metaphor, by Eileen Way, in Computational Linguistics, 18(1), 1992.
- James H. Martin, "Acquiring Metaphor-Based Polysemy", in Lexical Acquisition: Exploiting On-Line Resources to Build a Lexicon, Uri Zernik, (ed), Lawrence Erlbaum Associates, Englewood, NJ, 1991.
- Robert Wilensky, David Chin, Marc Luria, James H. Martin, James Mayfield, and Dekai Wu , The Berkeley UNIX Consultant Project, Computational Linguistics, 14(4), 1989.