CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
Leveraging FrameNet to Improve Automatic Event Detection
Shulin Liu; Yubo Chen; Shizhu He; Kang Liu; Jun Zhao
2016
Conference NameAnnual Meeting of Association for Computational Linguistics (ACL 2016)
Conference Date2016-08
Conference PlaceBerlin, Germany
Abstract

Frames defined in FrameNet (FN) share
highly similar structures with events in
ACE event extraction program. An event
in ACE is composed of an event trigger
and a set of arguments. Analogously,
a frame in FN is composed of a lexical unit
and a set of frame elements, which play
similar roles as triggers and arguments of
ACE events respectively. Besides having
similar structures, many frames in FN actually
express certain types of events. The
above observations motivate us to explore
whether there exists a good mapping from
frames to event-types and if it is possible
to improve event detection by using FN.
In this paper, we propose a global inference
approach to detect events in FN. Further,
based on the detected results, we analyze
possible mappings from frames to
event-types. Finally, we improve the performance
of event detection and achieve
a new state-of-the-art result by using the
events automatically detected from FN.

KeywordEvent Extraction Event Detection Information Extraction
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14520
Collection模式识别国家重点实验室_自然语言处理
Corresponding AuthorKang Liu
AffiliationNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Shulin Liu,Yubo Chen,Shizhu He,et al. Leveraging FrameNet to Improve Automatic Event Detection[C],2016.
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