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Recognition of Chemical Names in Chinese Texts

  • Nan Li
  • Jiu-ming Ji
  • Rong-ting Zheng
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 124)

Abstract

Chemical names recognition is a critical task for search and mining in some science publications and patents. However, most research on chemical names recognition has focused on English texts, e.g., MEDLINE abstracts. This paper is concerned with recognition of chemical substance names in Chinese text, which is regarded as a sequence tagging problem under Conditional Random Field (CRF) framework. In order to achieve a better performance, we make an empirical exploration of several relative parameters, including tagging unit, intervals of feature values, and feature sets. We show that there is a significant variance in performance as different parameters are selected. Based our experiment data, we give some feasibility analysis for further research.

Keywords

Chinese Character Chinese Word Name Entity Recognition Word Segmentation Chinese Text 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Nan Li
    • 1
  • Jiu-ming Ji
    • 1
  • Rong-ting Zheng
    • 1
  1. 1.Institute of Science and Technology Information, and East China University of Science and Technology LibrariesEast China University of Science and TechnologyShanghaiChina

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