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Semantic Interpretation and the Resolution of Ambiguity
Abstract
Semantic interpretation and the resolution of ambiguity presents an important advance in computer understanding of natural language. While parsing techniques have been greatly improved in recent years, the approach to semantics has generally improved in recent years, the approach to semantics has generally been ad hoc and had little theoretical basis. Graeme Hirst offers a new, theoretically motivated foundation for conceptual analysis by computer, and shows how this framework facilitates the resolution of lexical and syntactic ambiguities. His approach is interdisciplinary, drawing on research in computational linguistics, artificial intelligence, montague semantics, and cognitive psychology.
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Cited by
Gale, W. A., Church, K. W., & Yarowsky, D. (1992) · Proceedings of the workshop on Speech and Natural Language - HLT '91 · doi:10.3115/1075527.1075579 · Cited by 522
Large Language Models versus Natural Language Understanding and Generation
Karanikolas, N., Manga, E., Samaridi, N., Tousidou, E., & Vassilakopoulos, M. (2023) · Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics · doi:10.1145/3635059.3635104 · Cited by 102
Metadata
- Authors
- Hirst, G.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1987-08-13
- OpenAlex
- W1550769831
- Cited by
- 472
- References
- 0
- FWCI
- 10.39
- Type
- book
- Language
- en
- Open access
- closed
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- Hirst, G. (1987). Semantic Interpretation and the Resolution of Ambiguity. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511554346
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
