|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996465981003316 |
|
|
Autore |
Franz Alexander |
|
|
Titolo |
Automatic Ambiguity Resolution in Natural Language Processing [[electronic resource] ] : An Empirical Approach / / by Alexander Franz |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1996 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 1996.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XX, 164 p.) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Artificial Intelligence ; ; 1171 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Artificial intelligence |
Computer simulation |
Mathematical logic |
Statistics |
Artificial Intelligence |
Simulation and Modeling |
Mathematical Logic and Formal Languages |
Statistics for Social Sciences, Humanities, Law |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di contenuto |
|
Previous work on syntactic ambiguity resolution -- Loglinear models for ambiguity resolution -- Modeling new words -- Part-of-speech ambiguity -- Prepositional phrase attachment disambiguation -- Conclusions. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
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 |
|
|
|
|