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Treebank Grammars (1996)
| Venue: | In Proc. of the 13th National Conference on Artificial Intelligence (AAAI-1996 |
| Citations: | 252 - 4 self |
BibTeX
@INPROCEEDINGS{Charniak96treebankgrammars,
author = {Eugene Charniak},
title = {Treebank Grammars},
booktitle = {In Proc. of the 13th National Conference on Artificial Intelligence (AAAI-1996},
year = {1996}
}
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Abstract
By a “tree-bank grammar ” we mean a context-free grammar created by reading the production rules directly from hand-parsed sentences in a tree bank. Common wisdom has it that such grammars do not perform we & though we know of no published data on the issue. The primary purpose of this paper is to show that the common wisdom is wrong. In particular, we present results on a tree-bank grammar based on the Penn WaII Street Journal tree bank. To the best of our knowledge, this grammar outperforms ah other non-word-based statistical parsers/grammars on this corpus. That is, it outperforms parsers that consider the input as a string of tags and ignore the actual words of the corpus.
