Seed-based event trigger labeling: How far can event descriptions get us?

Ofer Bronstein, Ido Dagan, Qi Li, Heng Ji, Anette Frank

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The task of event trigger labeling is typi-cally addressed in the standard supervised setting: triggers for each target event type are annotated as training data, based on annotation guidelines. We propose an al-ternative approach, which takes the exam-ple trigger terms mentioned in the guide-lines as seeds, and then applies an event-independent similarity-based classifier for trigger labeling. This way we can skip manual annotation for new event types, while requiring only minimal annotated training data for few example events at system setup. Our method is evaluated on the ACE-2005 dataset, achieving 5.7% Fx improvement over a state-of-the-art super-vised system which uses the full training data.

Original languageEnglish (US)
Title of host publicationACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages372-376
Number of pages5
ISBN (Electronic)9781941643730
DOIs
StatePublished - 2015
Externally publishedYes
Event53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015 - Beijing, China
Duration: Jul 26 2015Jul 31 2015

Publication series

NameACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference
Volume2

Other

Other53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015
CountryChina
CityBeijing
Period7/26/157/31/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Language and Linguistics
  • Linguistics and Language

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