文献类型：期刊文献

英文题名：Recognition of chemical names in Chinese texts

作者：Li, Nan[1]; Ji, Jiu-Ming[1]; Zheng, Rong-Ting[1]

机构：[1] Institute of Science and Technology Information, East China University of Science and Technology Libraries, East China University of Science and Technology, Shanghai, China

年份：2012

卷号：124 LNEE

期号：VOL. 1

起止页码：311

外文期刊名：Lecture Notes in Electrical Engineering

收录：EI(收录号：20133116557608)

语种：英文

外文关键词：Random processes

摘要：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. ? 2012 Springer-Verlag GmbH.