@inproceedings{yamada-matsumoto-2003-statistical,
title = "Statistical Dependency Analysis with Support Vector Machines",
author = "Yamada, Hiroyasu and
Matsumoto, Yuji",
booktitle = "Proceedings of the Eighth International Conference on Parsing Technologies",
month = apr,
year = "2003",
address = "Nancy, France",
url = "https://preview.aclanthology.org/fix-sig-urls/W03-3023/",
pages = "195--206",
abstract = "In this paper, we propose a method for analyzing word-word dependencies using deterministic bottom-up manner using Support Vector machines. We experimented with dependency trees converted from Penn treebank data, and achieved over 90{\%} accuracy of word-word dependency. Though the result is little worse than the most up-to-date phrase structure based parsers, it looks satisfactorily accurate considering that our parser uses no information from phrase structures."
}
Markdown (Informal)
[Statistical Dependency Analysis with Support Vector Machines](https://preview.aclanthology.org/fix-sig-urls/W03-3023/) (Yamada & Matsumoto, IWPT 2003)
ACL