HowtogetaChineseName(Entity): segmentation and combination issues
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Identification of Chinese Event and Their Argument Roles
CITWORKSHOPS '08 Proceedings of the 2008 IEEE 8th International Conference on Computer and Information Technology Workshops
Adding semantic roles to the chinese treebank
Natural Language Engineering
The stages of event extraction
ARTE '06 Proceedings of the Workshop on Annotating and Reasoning about Time and Events
Can one language bootstrap the other: a case study on event extraction
SemiSupLearn '09 Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing
UMSLLS '09 Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics
Mining name translations from comparable corpora by creating bilingual information networks
BUCC '09 Proceedings of the 2nd Workshop on Building and Using Comparable Corpora: from Parallel to Non-parallel Corpora
A pairwise event coreference model, feature impact and evaluation for event coreference resolution
eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
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
Analysis and refinement of cross-lingual entity linking
CLEF'12 Proceedings of the Third international conference on Information Access Evaluation: multilinguality, multimodality, and visual analytics
Event argument extraction based on CRF
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Using compositional semantics and discourse consistency to improve Chinese trigger identification
Information Processing and Management: an International Journal
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In this paper, we present a Chinese event extraction system. We point out a language specific issue in Chinese trigger labeling, and then commit to discussing the contributions of lexical, syntactic and semantic features applied in trigger labeling and argument labeling. As a result, we achieved competitive performance, specifically, F-measure of 59.9 in trigger labeling and F-measure of 43.8 in argument labeling.