7. Conclusion and Perspectives for Future Research
Appendix. Kernel Methods for NLP.
Semantic fields are lexically coherent -- the words they contain co-occur in texts. In this book the authors introduce and define semantic domains, a computational model for lexical semantics inspired by the theory of semantic fields. Semantic domains allow us to extract domain features for texts, terms and concepts, and they can significantly boost the performance of natural-language processing systems because they can be acquired from corpora in an unsupervised manner and they are multilingual, i.e., they can be used to relate terms in different languages. The authors give a comprehensive explanation of the computational model, with detailed chapters on semantic domains, domain models, and applications of the technique in text categorization, word sense disambiguation, and multilingual domain models. This book is suitable for researchers and graduate students in computational linguistics. (source: Nielsen Book Data)