Applying machine learning to chinese entity detection and tracking

Donglei Qian, Wenjie Li, Chunfa Yuan, Qin Lu, Mingli Wu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)


This paper presents a Chinese entity detection and tracking system that takes advantages of character-based models and machine learning approaches. An entity here is defined as a link of all its mentions in text together with the associated attributes. Entity mentions of different types normally exhibit quite different linguistic patterns. Six separate Conditional Random Fields (CRF) models that incorporate character N-gram and word knowledge features are built to detect the extent and the head of three types of mentions, namely named, nominal and pronominal mentions. For each type of mentions, attributes are identified by Support Vector Machine (SVM) classifiers which take mention heads and their context as classification features. Mentions can then be merged into a unified entity representation by examining their attributes and connections in a rule-based coreference resolution process. The system is evaluated on ACE 2005 corpus and achieves competitive results.
Original languageEnglish
Title of host publicationComputational Linguistics and Intelligent Text Processing - 8th International Conference, CICLing 2007, Proceedings
Number of pages12
Publication statusPublished - 20 Dec 2007
Event8th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2007 - Mexico City, Mexico
Duration: 18 Feb 200724 Feb 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4394 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference8th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2007
CityMexico City

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science


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