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Research on Improved TBL based Japanese NER post-processing

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An Improved TBL based post-processing approach is proposed for Japanese named entity recognition (NER) in this paper. Firstly, tuning rules are automatically acquired from the results of Japanese NER by error-driven learning. And then, the tuning rules are optimized according to given threshold conditions. After filtered, the rules are used to revise the results of Japanese NER. Above all, this approach could be used in special domains perfectly for its learning domain linguistic knowledge automatically. The learnt rules could not go over fit as well. The experimental results show that a high result can be achieved in precision for Japanese NER.

Original languageEnglish
Title of host publicationProceedings - ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology
Pages145-149
Number of pages5
DOIs
StatePublished - 2008
EventALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology - Liaoning, China
Duration: 23 Jul 200825 Jul 2008

Publication series

NameProceedings - ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology

Conference

ConferenceALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology
Country/TerritoryChina
CityLiaoning
Period23/07/0825/07/08

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