Language specific issue and feature exploration in Chinese event extraction
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
UMSLLS '09 Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics
Extracting 5W1H event semantic elements from Chinese online news
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Employing compositional semantics and discourse consistency in Chinese event extraction
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Using compositional semantics and discourse consistency to improve Chinese trigger identification
Information Processing and Management: an International Journal
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Event detection and recognition is a major task in ACE evaluation plan. In this paper, we focus on solving the two subtasks: (1) event detection and classification, (2) their argument role identification. For the first subtask, the strategy of local feature selection and explicit discrimination of positive and negative features is used in order to ensure the performance of each type. For the second subtask, the approach based on multi-level patterns is presented in order to improve the coverage of patterns and to use various language information. Experiments on the ACE2005 corpus show that performance of the first subtask is satisfying with the 83.5% macro-average F1-measure. And experiments of the second subtask show that the method based on multi-level patterns is very promising.