Abstract
Traditional methods employed in parsing natural language have focused on developing powerful formalisms to represent syntactic and semantic structure along with rules for transforming language into these formalisms. The builders of such systems must accurately anticipate and model all of the language constructs that their systems will encounter. In loosely structured domains such as spoken language the task becomes very difficult. Connectionist networks that learn to transform input word sequences into meaningful target representations may be useful in such cases.
Chapter PDF
References
Charniak, E., & Santos, E. (1987). A connectionist context-free parser which is not context-free but then it is not really connectionist either. Proceedings of the Ninth Annual Conference of the Cognitive Science Society (pp. 70–77). Seattle, WA: Lawrence Erlbaum.
Cottrell, G. W. (1985). Connectionist parsing. Proceedings of the Seventh Annual Conference of the Cognitive Science Society (pp. 201–211). Irvine, CA: Lawrence Erlbaum.
Cottrell, G. W. (1989). A connectionist approach to word sense disambiguation. San Mateo, CA: Morgan Kaufmann.
Elman, J. L. (1988). Finding structure in time (Tech. Rep. No. 8801). San Diego: University of California, Center for Research in Language.
Fanty, M. (1986). Context-free parsing with connectionist networks. In J. S. Denker (Ed.), AIP Conference Proceedings No. 151. New York: American Institute of Physics.
Howells, T. (1988). VITAL: A connectionist parser. Proceedings of the Tenth Annual Conference of the Cognitive Science Society (pp. 18–25). Lawrence Erlbaum.
Jain, A. N. (1989). A connectionist architecture for sequential symbolic domains (Tech. Rep. No. CMU-CS-89–187). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science.
Jain, A. N., & Waibel, A. H. (1990). Incremental parsing by modular recurrent connectionist networks. In D. S. Touretzky (Ed.), Advances in neural information processing systems 2. San Mateo, CA: Morgan Kaufmann.
Jordan, M. I. (1986). Serial order: A parallel distributed processing approach (Tech. Rep. No. 8604). San Diego: University of California, Institute for Cognitive Science.
McClelland, J. L., & Kawamoto, A. H. (1986). Mechanisms of sentence processing: Assigning roles to constituents. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing (Vol. 2). MIT Press.
Miikkulainen, R., & Dyer, M. G. (1989). Encoding input/output representations in connectionist cognitive systems. Proceedings of the 1988 Connectionist Models Summer School (pp. 347–356). Morgan Kaufmann.
Nakamura, M., & Shikano, K. (1989). A study of English word category prediction based on neural networks. Proceedings of the 1989 IEEE International Conference on Acoustic, Speech, and Signal Processing (Vol. S) (pp. 731–734).
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation. In D. E. Rumelhart & J. L. McClelland (Eds.), Parallel distributed processing (Vol. 1). The MIT Press.
Selman, B., & Hirst, G. (1985). A rule-based connectionist parsing system. Proceedings of the Seventh Annual Conference of the Cognitive Science Society (pp. 212–221). Irvine, CA: Lawrence Erlbaum.
Waltz, D., & Pollack, J. (1985). Massively parallel parsing: A strongly interactive model of natural language interpretation. Cognitive Science, 9, 51–74.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer Science+Business Media New York
About this chapter
Cite this chapter
Jain, A.N., Waibel, A.H. (1991). Parsing with Connectionist Networks. In: Tomita, M. (eds) Current Issues in Parsing Technology. The Springer International Series in Engineering and Computer Science, vol 126. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3986-5_16
Download citation
DOI: https://doi.org/10.1007/978-1-4615-3986-5_16
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6781-9
Online ISBN: 978-1-4615-3986-5
eBook Packages: Springer Book Archive