The Balancing Act, Judith L. Klavans and Philip Resnik

• Baayen, H. and Sproat, R., 1996, “Estimating lexical priors for low-frequency morphologically ambiguous forms,” Computational Linguistics 22, 155–166.

  Google Scholar 

• Dunning, T., 1993, “Accurate methods for the statistics of surprise and coincidence,” Computational Linguistics 19, 61–74.

  Google Scholar 

• Gazdar, G., 1996, “Paradigm merger in natural language processing,” pp. 88–109 in Computing Tomorrow: Future Research Directions in Computer Science, R. Milner and I. Wand, eds., Cambridge: Cambridge University Press.

  Google Scholar 

• Grefenstette, G., 1992, “Use of syntactic context to produce term association lists for text retrieval,” pp. 89–97 in 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Copenhagen, Denmark, N. Belkin, P. Ingwersen, and A. Pejtersen, eds., New York: ACM Press.

  Google Scholar 

• Hindle, D., 1990, “Noun classification from predicate-argument structures,” pp. 268–275 in Proceedings of the 28th Annual Meeting of the Association for Computational Linguists, San Francisco, CA: Morgan Kaufmann.

  Google Scholar 

• Pereira, F. and Tishby, N., and Lee, L., 1993, “Distributional clustering of English words,” pp. 183–190 in Proceedings of the 31st Annual Meeting of the Association for Computational Linguists, San Francisco, CA: Morgan Kaufmann.

  Google Scholar 

• Resnik, P., 1993, “Selection and information: A class-based approach to lexical relationships,” Ph.D. Thesis, University of Pennsylvania.

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