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Natural Language Processing

Published online by Cambridge University Press:  19 November 2008

Thomas C. Rindflesch
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Work in computational linguistics began very soon after the development of the first computers (Booth, Brandwood and Cleave 1958), yet in the intervening four decades there has been a pervasive feeling that progress in computer understanding of natural language has not been commensurate with progress in other computer applications. Recently, a number of prominent researchers in natural language processing met to assess the state of the discipline and discuss future directions (Bates and Weischedel 1993). The consensus of this meeting was that increased attention to large amounts of lexical and domain knowledge was essential for significant progress, and current research efforts in the field reflect this point of view.

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Type
Technology and Language Analysis
Information
Annual Review of Applied Linguistics , Volume 16 , March 1996, pp. 70 - 85
Copyright
Copyright © Cambridge University Press 1996

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References

UNANNOTATED BIBLIOGRAPHY

Agarwal, R. and Boggess, L.. 1992. A simple but useful approach to conjunct identification. In Proceddings of the 30th annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 15–21.Google Scholar
Alshawi, H. (ed.) 1992. The core language engine. Cambridge, MA: MIT Press.Google Scholar
Asher, N. and Lascarides, A.. 1994. Intentions and information in discourse. In Procededing of the 32nd annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 34–41.CrossRefGoogle Scholar
Barwise, J. and Perry, J.. 1983. Situations and attitudes. Cambridge, MA: MIT Press.Google Scholar
Bates, M. 1989. Rapid porting of the Parlance Natural Language Interface. In Proceedings of the speech and natural language workshop. San Mateo, CA: Morgan Kaufmann Publishers. 83–88.Google Scholar
Black, E., Garside, R. and Leech, G. (eds.) 1993. Statistically-driven computer grammers of English: The IBM/Lancaster approach. Amsterdam: Editions Rodopi.Google Scholar
Blosseville, M. et al. , 1992. Automatic document classification: Natural language processing, statistical analysis, and expert system techniques used together. In Belkin, N., Ingwersen, P. and Pejterson, A. M. (eds.) Proceedings of the 15th annual international ACM SIGIR conference on research and development in information retrieval. New York: Association for Computing Machinery. 51–58.Google Scholar
Booth, A. D., Brandwood, L. and Cleave, J. P.. 1958. Mechanical resolution of linguistic problems. London: Butterworths Scientific Publications.Google Scholar
Brent, M. R. 1993. From grammer to lexicon: Unsupervised learning of lexical synatx. Computational Linguistics. 19.243–262.Google Scholar
Brill, E. 1992. A simple rule-based part of speech tagger. In Proceedings of the third conference on applied natural language processing. Trento, Italy. San Francisco: Morgan Kaufmann Publishers. 152–155.Google Scholar
Brill, E. 1993. Automatic grammar induction and parsing free text: A transformation-based approach. In Procededing of the 31st annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 259–265.Google Scholar
Briscoe, T. and Carroll, J.. 1993. Generalized probabilistic LR parsing of natural language (corpora) with unification-based grammers. Computational Linguistics. 19.25–59.Google Scholar
Browne, A. C., McCray, A. T. and Srinivasan, S.. 1993. The SPECIALIST Lexicon. Bethesda, MD: National Library of Medicine, Report No. NLM-LHC–93–01. [Available from NTIS, Springfield, VA: PB93–217248.]Google Scholar
Charniak, E. 1993. Statistical language learning.Cambridge, MA: MIT Press.Google Scholar
Chen, K.-H. and Chen, H.-H.. 1994. Extracting noun phrases from large-scale texts: A hybrid approach and its automatic evaluation. In Procededing of the 32nd annual meeting of the Association for Computational Linguistics.San Francisco: Morgan Kaufmann Publishers. 234–241.Google Scholar
Chierchia, G. and McConnell-Ginet, S.. 1990. Meaning and grammer: An intorduction to semantics. Cambridge, MA: MIT Press.Google Scholar
Chinchor, N., L., Hirschman and Lewis, D. D.. 1993. Evaluating meassage understanding systems: An analysis of the Third Message Understanding Conference (MUC-3). Computational Linguistics. 19.409–450.Google Scholar
Cruse, D. A. 1986. Lexical semantics. Cambridge: Cambridge University Press.Google Scholar
Davenport, D. M. and Heinze, D. T.. 1995. Crisis action message analyzer-EDM. Proceedings of the 5th annual dual-use technologies and applications conference. Utica/Rome, NY: SUNY Institute of Technology. 284–289.Google Scholar
Dermatas, E. and Kokkinakis, G.. 1995. Automatic stochastic tagging of natural language texts. Computational Linguistics. 21.137–163.Google Scholar
Fries, U., Tottie, G. and Schneider, P. (eds.) 1994. Creating and using English language corpora: Papers from the fourteenth international conference on English language research on computerized corpora, Zurich 1993. Amsterdam: Editions Rodopi.Google Scholar
Gale, W., Church, K. W. and Yarowsky, D.. 1992. Estimating upper and lower bounds on performance of word-sense disambiguation programs. In Procededing of the 30th annual meeting of the Association for Computational Linguistics.San Francisco: Morgan Kaufmann Publishers. 249–256.CrossRefGoogle Scholar
Gazdar, G. et al. , 1985. Generalized phrase structure grammar. Oxford: Blackwell Publishing and Cambridge, MA and Harvard University Press.Google Scholar
Grosz, B. J., Joshi, A. K. and Weinstein, S.. 1995. Centering: A framework for modeling the local coherence of discourse. Computational Linguistics. 21.203–225.Google Scholar
Hajicova, E., Skoumalova, H. and Sgall, P.. 1995. An automatic procedure for topic-focus identification. Computational Linguistics. 21.81–94.Google Scholar
Huls, C., Bos, E. and Claasen, W.. 1995. Automatic referent resolution of deictic and anaphoric expressions. Computational Linguistics. 21.59–79.Google Scholar
Jacobs, P. S. and Rau, L. F.. 1990. SCISOR: extracting information from on-line news. Communications of the ACM. 33.11.88–97.Google Scholar
Justeson, J. S. and Katz, S. M.. 1995. Principled disambiguation: Discriminating adjective senses with modified nouns. Computational Linguistics. 21.1–27.Google Scholar
King, M. 1992. Epilogue: On the relation between computational linguistics and formal semantics. In Rosner, M. and Johnson, R. (eds.) Computational linguistics and formal semantics. Cambridge: Cambridge Universtiy Press. 283–299.Google Scholar
Kupiec, J. 1993. MURAX: A robust linguistic approach for question answering using an on-line encyclopedia. In Korfhage, R., Rasmussen, E., and willett, P. (eds.) Proceedings of the 16th annual international ACM SIGIR conference on research and development in information retrieval. New York: Association for Computing Machinery. 181–190.Google Scholar
Kurohashi, S. and Nagao, M.. 1994. A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures. Computational Linguistics. 20.507–534.Google Scholar
Langacker, R. W. 1988. An overview of cognitive grammar. In Rudzka-Ostyn, B. (ed.) Topics in cognitive linguistics. Philadelphia: John Benjamins. 3–48.Google Scholar
Lappin, S. and Leass, H. J.. 1994. An algorithm for pronominal anaphora resolution. Computational Linguistics. 20.535–561.Google Scholar
Lauer, T. W., Peacock, E. and Graesser, A. C. (eds.) 1992. Questions and information systems. Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Levin, B. 1993. English verb classes and alternations: A preliminary investigation. Chicago: University of Chicago Press.Google Scholar
Levin, B. and Pinker, S. (eds.) 1991. Lexical and conceptual semantics. Oxford: Blackwell Publishing.Google Scholar
Liddy, E. D. et al. , 1994. Document retrieval using linguistic knowledge. RIAO 94 conference proceedings. 106–114. [Organized by the center for Advanced Study of Information Systems, Inc. and Center de Hautes Etudes Internationales d'Infoermatique Documentaire.]Google Scholar
Liu, R.-L. and Soo, V. W.. 1993. An empirical study on thematic knowledge acquisition based on syntactic clues and heuristics. In Procededing of the 31st annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 243–250.Google Scholar
Magerman, D. M. and Weir, C.. 1992. Efficiency, robustness and accuracy in Picky chart parsing. In Procededing of the 30th annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 40–47.Google Scholar
Manning, C. D. 1993. Automatic acquisition of a large subcategorization dictionary from corpora. In Procededing of the 31st annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 235–242.CrossRefGoogle Scholar
Marcus, M. P., Santorini, B. and Marcinkiewicz, M. A.. 1993. Building a large annotated corpus of English: the Penn Treebank. Computational Linguistics. 19.313–330Google Scholar
McCray, A. T., Srinivasan, S. and Browne, A. C.. 1994. Lexical methods for managing variation in biomedical terminologies. In Ozblot, J. G. (ed.) Proceedings of the eighteenth annual symposium on computer applications in medical care. Philadelphia: Hanley & Belful, Inc. 235–239.Google Scholar
McKeown, K. and Radev, D. R.. 1995. Generating summaries of multiple news articles. In Fox, E. A., Ingwersen, P., and Fidel, R. (eds.) Proceedings of the 18th annual international ACM SIGIR conference on research and development in information retrieval. New York: Association for Computing Machinery. 74–82.Google Scholar
McRoy, S. W. 1992. Using multiple knowledge sources for word sense discrimination. Computational Linguistics. 18.1–30.Google Scholar
Merialdo, B. 1994. Tagging English text with a probabilistic model. Computational Linguistics. 20.155–171.Google Scholar
Miller, G. A. (ed.) 1990. WordNet: An on-line lexical database. International Journal of Lexicography. 3.235–312.Google Scholar
Montague, R. 1974. Formal philosophy: Selected papers of Richard Montague. [ed. by Thomason, R. H..] New Haven, CT: Yale University Press.Google Scholar
Myaeng, S. H., Khoo, C. and Li, M.. 1994. Linguistic processing of text for a large-scale conceptual information retrieval system. In Tepfenhart, W. M., Dick, J. P. and Sowa, J. F. (eds.) Conceptual Structures:Current practices. Berlin: Springer-Verlag. 69–83. [Lecture notes in artifical intelligence 835.]Google Scholar
Olivier, P. and Tsujii, J.. 1994. A Computational view of the cognitive semantics of spatial prepositions. In Procededing of the 32nd annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 303–309.CrossRefGoogle Scholar
Oostdijk, N. and de Haan, P. (eds.) 1994. Corpus-based research into language: In honour of Jan Aarts. Amsterdam: Editions Rodopi.Google Scholar
Paice, C. D. and Jones, P. A.. 1993. The identification of important concepts in highly structured technical papers. In Korfhage, R., Rasmussen, E., and Willett, P. (eds.) Proceedings of the 16th annual international ACM SIGIR conference on research and development in information retrieval. New York: Association for Computing Machinery. 69–78.CrossRefGoogle Scholar
Partee, B. H., ter Meulen, A. and Wall, R. E.. 1993. Mathematical methods in linguistics. Dordrecht: Kluwer Academic Publishers.Google Scholar
Passonneau, R. J. and Litman, D. J.. 1993. Intention-based segmentation: Human reliability and correlation with linguistic cues. In Procededing of the 31st annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 148–155.Google Scholar
Pereira, F. and Schabes, Y.. 1992. Inside-outsode re-estimation from partially bracketed corpora. In Procededing of the 30th annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 128–135.Google Scholar
Pustejovsky, J. (ed.) 1993. Semantics and the lexicon. Dordrecht: Kluwer Academic Publishers.CrossRefGoogle Scholar
Roche, E. and Schabes, Y.. 1995. Deterministic Part-of-speech tagging with finite-state transducers. Computational Linguistics. 21.227–253.Google Scholar
Satta, G. 1994. Tree-adjoining grammar parsing and Boolean matrix multiplication. Computational Linguistics. 20.173–191.Google Scholar
Schabes, Y. and Shieber, S. M.. 1994. An alternative conception of tree-adjoining derivations. Computational Linguistics. 20.91–124.Google Scholar
Schutze, H. 1993. Part-of-speech induction from scratch. In Procededing of the 31st annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 251–258.Google Scholar
Sembok, T. M. T. and van Rijsbergen, C. J.. 1990 SILOL: A simple logicallinguistic document retrieval system. Information Processing and Management. 26.111–134.CrossRefGoogle Scholar
Sonderland, S. and Lehnert, W.. 1994. Corpus-driven knowledge acquisition for discourse analysis. Proceedings of the twelfth national conference on artificial intelligence. Volume 1. Cambridge, MA: MIT Press. 827–832.Google Scholar
Strzalkowski, T. 1994. Document indexing and retrieval using natural language processing. RIAO 94 conference proceedings. 131–143 [Organized by the Center for Advanced study of Information Systems, Inc. and Center de Hautes Etudes Internationales d'Informatique Documentaire.]Google Scholar
Traum, D. R. and Allen, J. F.. 1994. Discourse obligations in dialogue processing. In Procededing of the 32nd annual meeting of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers. 1–8.Google Scholar
Wilks, Y. 1992. Form and content in semantics. In Rosner, M. and Johnson, R. (eds.) Computational linguistics and formal semantics. Cambridge: Cambridge Universtiy Press. 257–281.Google Scholar
Zampolli, A., Calzolari, N. and Palmer, M. (eds.) 1994. Current issues in computational linguistics: In honour of Don Walker. Dordrecht: Kluwer Academic Publishers and Pisa: Giardini editori e stampatori in Pisa.Google Scholar
Zernik, U. (ed.) 1991. Lexical acquisition: Exploiting on-line resoureces to build a lexicon. Hillsdale, NJ: Lawrence Erkbaum.Google Scholar