JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2015, Vol. 50 ›› Issue (07): 9-16.doi: 10.6040/j.issn.1671-9352.3.2014.026

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Chinese Micro-blog named entity linking based on multisource knowledge

ZAN Hong-ying1, WU Yong-gang1, JIA Yu-xiang1, NIU Gui-ling2   

  1. 1. School of Information Engineering, Zhengzhou University, Zhengzhou 450001, Henan, China;
    2. School of Foreign Language, Zhengzhou University, Zhengzhou 450001, Henan, China
  • Received:2015-03-03 Online:2015-07-20 Published:2015-07-31

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Abstract: Named entity is an important component conveying information in texts. Micro-blog is a social network platform used to share brief real-time information, with characteristics such as short text length, nonstandard words, and even the frequent emergence of neologisms.So an accurate understanding of the named entities is needed to ensure a correct analysis of the text information. A Chinese Micro-blog entity linking strategy was proposed based on multi-resource knowledge, combing the dictionary of synonyms, the encyclopedia resources as well as the bag-of-words model together to deal with named entity linking.In this strategy, named entities to be linked in Micro-blog were mapped to the corresponding candidate entities in the knowledge base. The evaluation results obtain a micro average accuracy of 92.97%, based on experiments using data sets of NLP& CC2013 Chinese micro-blog entity linking track. Compared with the state-of-the-art result, the accuracy of this method is two percent higher,which demonstrates the effectiveness of our method.

Key words: named entity, dictionary of synonyms, bag-of-words model, encyclopedia resources, Chinese Micro-blog entity linking

CLC Number: 

  • TP391
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