Abstract
This paper describes the PKU-HIT system on event detection in the SemEval-2010 Task. We construct three modules for the three sub-tasks of this evaluation. For target verb WSD, we build a Naïve Bayesian classifier which uses additional training instances expanded from an untagged Chinese corpus automatically. For sentence SRL and event detection, we use a feature-based machine learning method which makes combined use of both constituent-based and dependencybased features. Experimental results show that the Macro Accuracy of the WSD module reaches 83.81% and F-Score of the SRL module is 55.71%.
Original language | English |
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Title of host publication | ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 304-307 |
Number of pages | 4 |
ISBN (Electronic) | 1932432701, 9781932432701 |
Publication status | Published - 1 Jan 2010 |
Event | 5th International Workshop on Semantic Evaluation, SemEval 2010 - Uppsala University, Uppsala, Sweden Duration: 15 Jul 2010 → 16 Jul 2010 |
Conference
Conference | 5th International Workshop on Semantic Evaluation, SemEval 2010 |
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Country | Sweden |
City | Uppsala |
Period | 15/07/10 → 16/07/10 |
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Science Applications
- Theoretical Computer Science