@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/ingest-emnlp/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/ingest-emnlp/W03-3023/) (Yamada & Matsumoto, IWPT 2003)
ACL