Journal of Guangxi Normal University(Natural Science Edition) ›› 2010, Vol. 28 ›› Issue (3): 144-147.

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Gene Mention Normalization Based on Semantic Featured Machine Learning Disambiguation

XIA Ning, LIN Hong-fei, YANG Zhi-hao, LI Yan-peng   

  1. Information Retrieval Laboratory,Dalian University of Technology,Dalian Liaoning 116024,China
  • Received:2010-05-13 Online:2010-09-20 Published:2023-02-06

Abstract: An extended semantic feature representation method isintroduced,anda machine learning based disambiguation is performed using this feature.First,a named entity recognition system is used to detect gene mentions in the literature.Second,different searching strategies are adopted to construct mapping pairs.Thirdly,extended semantic feature is used for supervised machine learning based disambiguation.Then,retrieved Wikipedia results are used to build post-filter.This method achieves an F-measure of 83.2% on the BioCreative Ⅱ GN test dataset.

Key words: gene mention normalization, gene mention disambiguation, extended semantic feature, machine learning

CLC Number: 

  • TP391.1
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