2006a. The exploration of deterministic and efficient dependency parsing (2006)
| Venue: | In Proc. of the 10th Conference on Computational Natural Language Learning |
| Citations: | 3 - 1 self |
BibTeX
@INPROCEEDINGS{Wu062006a.the,
author = {Yu-chieh Wu and Yue-shi Lee and Jie-chi Yang},
title = {2006a. The exploration of deterministic and efficient dependency parsing},
booktitle = {In Proc. of the 10th Conference on Computational Natural Language Learning},
year = {2006},
pages = {241--245}
}
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Abstract
In this paper, we propose a three-step multilingual dependency parser, which generalizes an efficient parsing algorithm at first phase, a root parser and postprocessor at the second and third stages. The main focus of our work is to provide an efficient parser that is practical to use with combining only lexical and part-ofspeech features toward language independent parsing. The experimental results show that our method outperforms Maltparser in 13 languages. We expect that such an efficient model is applicable for most languages. 1
Citations
| 1368 | Text categorization with support vector machines - Joachims - 1998 |
| 780 | Head-Driven Statistical Models for Natural Language Parsing - Collins - 1999 |
| 671 | A Maximum-Entropy-Inspired Parser - Charniak - 2000 |
| 200 | Three New Probabilistic Models for Dependency Parsing: An Exploration - Eisner - 1996 |
| 156 | Online large-margin training of dependency parsers - McDonald, Crammer, et al. - 2005 |
| 45 | A fundamental algorithm for dependency parsing - Covington |
| 7 | A general and multi-lingual phrase chunking model based on masking method - Wu, Chang, et al. - 2006 |
