Integrating Structural Context with Local Context for Disambiguating Word Senses
A novel word sense disambiguation(WSD)discriminative model is proposed in this paper to handle long distance sense dependency and multi-refer-ence lexicon dependency(i.e.,the sense of a lexicon might depend on several other non-local lexicons under the same subtree)within the sentence.Many WSD systems only adopt local context to independently decide the sense of each lexicon in a sentence.However,the sense of a target word actually also depends on those structure related sense/lexicons that might be far away from it.Therefore,we propose a supervised approach which integrates structural context(for long distance sense dependency and multi-reference lexicon dependency)with the lo-cal context(for local dependency)to handle the problems mentioned above.As the result,the sense of each word is decided not only based on the local lexicons,but also based on various reference sense/lexicons(might be non-local)specified by all its associated syntactic subtrees.Experimental results show that the proposed approach significantly outperforms other state-of-art WSD systems.
Qianlong Du Chengqing Zong Keh-Yih Su
National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Science,Beijin University of Chinese Academy of Sciences,Beijing,China Institute of Information Science,Academia Sinica,Taiwan
国际会议
第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)
昆明
英文
1-12
2016-12-02（万方平台首次上网日期，不代表论文的发表时间）