2010 UsingDocumentLevelCrossEventInf
- (Liao et al., 2010) ⇒ Shasha Liao, and Ralph Grishman. (2010). “Using Document Level Cross-event Inference to Improve Event Extraction.” In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.
Subject Headings:
Notes
Cited By
- http://scholar.google.com/scholar?q=%22Using+document+level+cross-event+inference+to+improve+event+extraction%22+2010
- http://dl.acm.org/citation.cfm?id=1858681.1858762&preflayout=flat#citedby
Quotes
Abstract
Event extraction is a particularly challenging type of information extraction (IE). Most current event extraction systems rely on local information at the phrase or sentence level. However, this local context may be insufficient to resolve ambiguities in identifying particular types of events; information from a wider scope can serve to resolve some of these ambiguities. In this paper, we use document level information to improve the performance of ACE event extraction. In contrast to previous work, we do not limit ourselves to information about events of the same type, but rather use information about other types of events to make predictions or resolve ambiguities regarding a given event. We learn such relationships from the training corpus and use them to help predict the occurrence of events and event arguments in a text. Experiments show that we can get 9.0% (absolute) gain in trigger (event) classification, and more than 8% gain for argument (role) classification in ACE event extraction.
References
,
| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2010 UsingDocumentLevelCrossEventInf | Ralph Grishman Shasha Liao | Using Document Level Cross-event Inference to Improve Event Extraction |