Measuring semantic relatedness using wikipedia revision information in a signed network

Wen Teng Yang, Hung Yu Kao

研究成果: Conference contribution

摘要

Identifying the semantic relatedness of two words is an important task for the information retrieval, natural language processing, and text mining. However, due to the diversity of meaning for a word, the semantic relatedness of two words is still hard to precisely evaluate under the limited corpora. Nowadays, Wikipedia is now a huge and wiki-based encyclopedia on the internet that has become a valuable resource for research work. Wikipedia articles, written by a live collaboration of user editors, contain a high volume of reference links, URL identification for concepts and a complete revision history. Moreover, each Wikipedia article represents an individual concept that simultaneously contains other concepts that are hyperlinks of other articles embedded in its content. Through this, we believe that the semantic relatedness between two words can be found through the semantic relatedness between two Wikipedia articles. Therefore, we propose an Editor-Contribution-based Rank (ECR) algorithm for ranking the concepts in the article's content through all revisions and take the ranked concepts as a vector representing the article. We classify four types of relationship in which the behavior of addition and deletion maps appropriate and inappropriate concepts. ECR ranks those concepts depending on the mutual signed-reinforcement relationship between the concepts and the editors. The results reveal that our method leads to prominent performance improvement and increases the correlation coefficient by a factor ranging from 4% to 23% over previous methods that calculate the relatedness between two articles.

原文English
主出版物標題Proceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011
頁面69-74
頁數6
DOIs
出版狀態Published - 2011 十二月 1
事件16th Annual Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011 - Chung-Li, Taiwan
持續時間: 2011 十一月 112011 十一月 13

出版系列

名字Proceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011

Other

Other16th Annual Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011
國家Taiwan
城市Chung-Li
期間11-11-1111-11-13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

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