A Chinese Event Argument Inference Approach Based on Entity Semantics and Event Relevance View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Shaohua Zhu , Peifeng Li , Qiaoming Zhu

ABSTRACT

Currently, Chinese argument extraction mainly focuses on feature engineering, which cannot exploit inner relationships between event mentions in the same document. To address this issue, this paper learns the probabilities of entities fulfilling a specific role from the training set and the relationship among events to infer more arguments using Markov Logic Networks. Experimental results on the ACE 2005 Chinese corpus show that our approach outperforms the baseline significantly, with an improvement of 8.6% and 8.2% in argument identification and role determination respectively. More... »

PAGES

577-586

Book

TITLE

Chinese Lexical Semantics

ISBN

978-3-319-27193-4
978-3-319-27194-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-27194-1_58

DOI

http://dx.doi.org/10.1007/978-3-319-27194-1_58

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042445172


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