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            <title>Proceedings of the Eighth International Conference on Parsing Technologies</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T Statistical Dependency Analysis with Support Vector Machines
%A Yamada, Hiroyasu
%A Matsumoto, Yuji
%S Proceedings of the Eighth International Conference on Parsing Technologies
%D 2003
%8 April
%C Nancy, France
%F yamada-matsumoto-2003-statistical
%X 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.
%U https://aclanthology.org/W03-3023
%P 195-206

Markdown (Informal)

[Statistical Dependency Analysis with Support Vector Machines](https://aclanthology.org/W03-3023) (Yamada & Matsumoto, IWPT 2003)

• Statistical Dependency Analysis with Support Vector Machines (Yamada & Matsumoto, IWPT 2003)

ACL

• Hiroyasu Yamada and Yuji Matsumoto. 2003. Statistical Dependency Analysis with Support Vector Machines. In Proceedings of the Eighth International Conference on Parsing Technologies, pages 195–206, Nancy, France.