Paramètres
- 184pages
- 7 heures de lecture
En savoir plus sur le livre
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.
Achat du livre
Automatic ambiguity resolution in natural language processing, Alexander Franz
- Langue
- Année de publication
- 1996
- product-detail.submit-box.info.binding
- (souple)
Modes de paiement
Personne n'a encore évalué .
- Titre
- Automatic ambiguity resolution in natural language processing
- Sous-titre
- An Empirical Approach
- Langue
- Anglais
- Auteurs
- Alexander Franz
- Éditeur
- Springer
- Publié
- 1996
- Format
- souple
- Pages
- 184
- ISBN10
- 3540620044
- ISBN13
- 9783540620044
- Séries
- Mots clés
- Sciences sociales, Informatique & Internet, Science, Mathématiques, Sociologie, Linguistique, Intelligence Artificielle, Statistiques, Logique, Modelling, Traitement du langage naturel
- Description
- 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.