Joint parsing and semantic role labeling (2005)
| Venue: | Proceedings of CoNLL-2005 |
| Citations: | 22 - 0 self |
BibTeX
@INPROCEEDINGS{Sutton05jointparsing,
author = {Charles Sutton and Andrew Mccallum},
title = {Joint parsing and semantic role labeling},
booktitle = {Proceedings of CoNLL-2005},
year = {2005},
pages = {225--228}
}
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Abstract
A striking feature of human syntactic processing is that it is context-dependent, that is, it seems to take into account semantic information from the discourse context and world knowledge. In this paper, we attempt to use this insight to bridge the gap between SRL results from gold parses and from automatically-generated parses. To do this, we jointly perform parsing and semantic role labeling, using a probabilistic SRL system to rerank the results of a probabilistic parser. Our current results are negative, because a locallytrained SRL model can return inaccurate probability estimates. 1
Citations
| 466 | Automatic Labeling of Semantic Roles - Gildea, Jurafsky - 2002 |
| 90 | Using predicate-argument structures for information extraction - Surdeanu, Harabagiu, et al. - 2003 |
| 78 | A novel use of statistical parsing to extract information from text - Miller, Fox, et al. - 2000 |
| 9 | Intricacies of collins’ parsing model. Computational Linguistics - Bikel - 2004 |
