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181–184. Knuth, D. E. (1973). Sorting and Searching: The Art of Computer Programming Volume 3 . Addison-Wesley. Koerner, E. F. K. and Asher, R. E. (Eds.). (1995). Concise History of the Language Sciences . Elsevier Science. Koo, T., Carreras P´erez, X., and Collins, M. (2008). Sim- ple semi-supervised dependency parsing. In ACL-08 , pp. 598–603. Krovetz, R. (1993). Viewing morphology as an inference process. In SIGIR-93 , pp. 191–202. Krovetz, R. (1998). More than one sense per discourse. In Proceedings of the ACL-SIGLEX SENSEVAL Workshop . Kruskal, J. B. (1983). An overview of sequence compari- son. In Sankoff, D. and Kruskal, J. B. (Eds.), Time Warps, String Edits, and Macromolecules: The Theory and Prac- tice of Sequence Comparison , pp. 1–44. Addison-Wesley. Kudo, T. and Matsumoto, Y. (2002). Japanese dependency analysis using cascaded chunking. In CoNLL-02 , pp. 63– 69. Kukich, K. (1992). Techniques for automatically correcting words in text. ACM Computing Surveys , 24 (4), 377–439. Kullback, S. and Leibler, R. A. (1951). On information and sufficiency. Annals of Mathematical Statistics , 22 , 79–86. Kuno, S. (1965). The predictive analyzer and a path elimi- nation technique. Communications of the ACM , 8 (7), 453– 462. Kuno, S. and Oettinger, A. G. (1963). Multiple-path syn- tactic analyzer. In Popplewell, C. M. (Ed.), Information Processing 1962: Proceedings of the IFIP Congress 1962 , Munich, pp. 306–312. North-Holland. Reprinted in Grosz et al. (1986). Kupiec, J. (1992). Robust part-of-speech tagging using a hidden Markov model. Computer Speech and Language , 6 , 225–242. Kuˇcera, H. and Francis, W. N. (1967). Computational Anal- ysis of Present-Day American English . Brown University Press, Providence, RI. Labov, W. and Fanshel, D. (1977). Therapeutic Discourse . Academic Press. Lafferty, J. D., McCallum, A., and Pereira, F. C. N. (2001). Conditional random fields: Probabilistic models for seg- menting and labeling sequence data. In ICML 2001 , Stan- ford, CA. Lafferty, J. D., Sleator, D., and Temperley, D. (1992). Gram- matical trigrams: A probabilistic model of link grammar. In Proceedings of the 1992 AAAI Fall Symposium on Prob- abilistic Approaches to Natural Language . Lakoff, G. (1965). On the Nature of Syntactic Irregularity . Ph.D. thesis, Indiana University. Published as Irregularity in Syntax . Holt, Rinehart, and Winston, New York, 1970. Lally, A., Prager, J. M., McCord, M. C., Boguraev, B. K., Patwardhan, S., Fan, J., Fodor, P., and Chu-Carroll, J. (2012). Question analysis: How Watson reads a clue. IBM Journal of Research and Development , 56 (3/4), 2:1–2:14. Landauer, T. K. (Ed.). (1995). The Trouble with Computers: Usefulness, Usability, and Productivity . MIT Press. Landauer, T. K. and Dumais, S. T. (1997). A solution to Plato’s problem: The Latent Semantic Analysis theory of acquisition, induction, and representation of knowledge. Psychological Review , 104 , 211–240. Landes, S., Leacock, C., and Tengi, R. I. (1998). Building semantic concordances. In Fellbaum, C. (Ed.), WordNet: An Electronic Lexical Database , pp. 199–216. MIT Press. Lang, J. and Lapata, M. (2014). Similarity-driven semantic role induction via graph partitioning. Computational Lin- guistics , 40 (3), 633–669.
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