Abstract
This paper describes a system for syntacticsemantic dependency parsing for multiple languages. The system consists of three parts: a state-of-the-art higher-order projective dependency parser for syntactic dependency parsing, a predicate classifier, and an argument classifier for semantic dependency parsing. For semantic dependency parsing, we explore use of global features. All components are trained with an approximate max-margin learning algorithm. In the closed challenge of the CoNLL-2009 Shared Task (Hajič et al., 2009), our system achieved the 3rd best performances for English and Czech, and the 4th best performance for Japanese.
Original language | English |
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Pages | 114-119 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2009 |
Event | 13th Conference on Computational Natural Language Learning, CoNLL 2009 - Boulder, CO, United States Duration: 2009 Jun 4 → 2009 Jun 4 |
Other
Other | 13th Conference on Computational Natural Language Learning, CoNLL 2009 |
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Country/Territory | United States |
City | Boulder, CO |
Period | 09/6/4 → 09/6/4 |
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Linguistics and Language