- 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.