Paper: Argument Inference from Relevant Event Mentions in Chinese Argument Extraction

ACL ID P13-1145
Title Argument Inference from Relevant Event Mentions in Chinese Argument Extraction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

As a paratactic language, sentence-level argument extraction in Chinese suffers much from the frequent occurrence of ellipsis with regard to inter-sentence arguments. To resolve such problem, this paper proposes a novel global argument inference model to explore specific relationships, such as Coreference, Sequence and Parallel, among relevant event mentions to recover those inter- sentence arguments in the sentence, discourse and document layers which represent the cohesion of an event or a topic. Evaluation on the ACE 2005 Chinese corpus justifies the effectiveness of our global argument inference model over a state-of-the-art baseline.