Corrective modeling for non-projective dependency parsing (2005)
| Venue: | In Proceedings of the 9th International Workshop on Parsing Technologies (IWPT |
| Citations: | 18 - 0 self |
BibTeX
@INPROCEEDINGS{Hall05correctivemodeling,
author = {Keith Hall},
title = {Corrective modeling for non-projective dependency parsing},
booktitle = {In Proceedings of the 9th International Workshop on Parsing Technologies (IWPT},
year = {2005},
pages = {42--52},
publisher = {Blackwell}
}
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Abstract
We present a corrective model for recovering non-projective dependency structures from trees generated by state-of-theart constituency-based parsers. The continuity constraint of these constituencybased parsers makes it impossible for them to posit non-projective dependency trees. Analysis of the types of dependency errors made by these parsers on a Czech corpus show that the correct governor is likely to be found within a local neighborhood of the governor proposed by the parser. Our model, based on a MaxEnt classifier, improves overall dependency accuracy by.7 % (a 4.5 % reduction in error) with over 50 % accuracy for non-projective structures. 1
