Automatic ambiguity resolution in natural language processing
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This is an exciting time for Artificial Intelligence, and for Natural Language Processing in particular. Over the last five years or so, a newly revived spirit has gained prominence that promises to revitalize the whole field: the spirit of empiricism. This book introduces a new approach to the important NLP issue of automatic ambiguity resolution, based on statistical models of text. This approach is compared with previous work and proved to yield higher accuracy for natural language analysis. An effective implementation strategy is also described, which is directly useful for natural language analysis. The book is noteworthy for demonstrating a new empirical approach to NLP; it is essential reading for researchers in natural language processing or computational linguistics.
Nákup knihy
Automatic ambiguity resolution in natural language processing, Alexander Franz
- Jazyk
- Rok vydání
- 1996
Doručení
Platební metody
2021 2022 2023
Navrhnout úpravu
- Titul
- Automatic ambiguity resolution in natural language processing
- Jazyk
- anglicky
- Autoři
- Alexander Franz
- Vydavatel
- Springer
- Rok vydání
- 1996
- ISBN10
- 3540620044
- ISBN13
- 9783540620044
- Série
- Lecture notes in computer science
- Kategorie
- Počítače, IT, programování
- Anotace
- This is an exciting time for Artificial Intelligence, and for Natural Language Processing in particular. Over the last five years or so, a newly revived spirit has gained prominence that promises to revitalize the whole field: the spirit of empiricism. This book introduces a new approach to the important NLP issue of automatic ambiguity resolution, based on statistical models of text. This approach is compared with previous work and proved to yield higher accuracy for natural language analysis. An effective implementation strategy is also described, which is directly useful for natural language analysis. The book is noteworthy for demonstrating a new empirical approach to NLP; it is essential reading for researchers in natural language processing or computational linguistics.