Abstract
Event argument extraction is an important component of event extraction which plays a decisive role in whether event extraction can be applied to the actual. This paper proposes a method of event argument extraction based on Conditional Random Fields (CRFs). After employing frequently used features, we summarize all the features into five categories, i.e., lexical, semantic, dependency, syntactic and relative-position. More importantly, we propose using semantic role as a specific feature. Great efforts have been made to evaluate the performance by exploring various features and their combination. Experimental results show that semantic role is a good indicator for event argument extraction.
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Hou, L., Li, P., Zhu, Q., Cao, Y. (2013). Event Argument Extraction Based on CRF. In: Ji, D., Xiao, G. (eds) Chinese Lexical Semantics. CLSW 2012. Lecture Notes in Computer Science(), vol 7717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36337-5_4
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DOI: https://doi.org/10.1007/978-3-642-36337-5_4
Publisher Name: Springer, Berlin, Heidelberg
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