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Book Categories |
1 | Introduction | 1 |
2 | Previous Work on Syntactic Ambiguity Resolution | 11 |
3 | Loglinear Models for Ambiguity Resolution | 35 |
4 | Modeling New Words | 51 |
5 | Part-of-Speech Ambiguity | 71 |
6 | Prepositional Phrase Attachment Disambiguation | 97 |
7 | Conclusions | 109 |
A | Entropy | 117 |
B | Penn Treebank Tags | 119 |
C | Obtaining Random Samples | 121 |
D | Confusion Matrices for POS Tagging | 123 |
E | Converting Treebank Files | 125 |
F | Input to and Output from the Estimation Routines | 129 |
References | 133 | |
Index | 147 |
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Automatic Ambiguity Resolution in Natural Language Processing, Vol. 117, 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. |