An Improved Parser for Data-Oriented Lexical-Functional Analysis
Cached
Download Links
- [www.nclt.dcu.ie]
- [acl.ldc.upenn.edu]
- [turing.wins.uva.nl]
- DBLP
Other Repositories/Bibliography
| Venue: | In Proceedings of the 38th Conference of the Association for Computational Linguistics |
| Citations: | 8 - 4 self |
BibTeX
@INPROCEEDINGS{Bod_animproved,
author = {Rens Bod},
title = {An Improved Parser for Data-Oriented Lexical-Functional Analysis},
booktitle = {In Proceedings of the 38th Conference of the Association for Computational Linguistics},
year = {},
pages = {61--68}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
We present an LFG-DOP parser which uses fragments from LFG-annotated sentences to parse new sentences. Experiments with the Verbmobil and Homecentre corpora show that (1) Viterbi n best search performs about 100 times faster than Monte Carlo search while both achieve the same accuracy; (2) the DOP hypothesis which states that parse accuracy increases with increasing fragment size is confirmed for LFG-DOP; (3) LFG-DOP's relative frequency estimator performs worse than a discounted frequency estimator; and (4) LFG-DOP significantly outperforms Tree-DOP if evaluated on tree structures only. 1
