|
" Automatic Ambiguity Resolution in Natural Language Processing : "
edited by Alexander Franz.
| Document Type
|
:
|
BL
|
| Record Number
|
:
|
746420
|
| Doc. No
|
:
|
b566369
|
| Main Entry
|
:
|
edited by Alexander Franz.
|
| Title & Author
|
:
|
Automatic Ambiguity Resolution in Natural Language Processing : : an Empirical Approach\ edited by Alexander Franz.
|
| Publication Statement
|
:
|
Berlin, Heidelberg : Springer Berlin Heidelberg, 1996
|
| Series Statement
|
:
|
Lecture notes in computer science., Lecture notes in artificial intelligence ;, 1171.
|
| Page. NO
|
:
|
(xx, 164 pages)
|
| ISBN
|
:
|
3540495932
|
|
|
:
|
: 9783540495932
|
| Contents
|
:
|
Previous work on syntactic ambiguity resolution --; Loglinear models for ambiguity resolution --; Modeling new words --; Part-of-speech ambiguity --; Prepositional phrase attachment disambiguation --; Conclusions.
|
| Abstract
|
:
|
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.
|
| Subject
|
:
|
Artificial intelligence.
|
| Subject
|
:
|
Computer science.
|
| Subject
|
:
|
Computer simulation.
|
| LC Classification
|
:
|
QA76.9.N38E358 1996
|
| Added Entry
|
:
|
Alexander Franz
|
| |