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1
題名:A Model for Word Sense Disambiguation     (38點)
著者:Juan-Zi LiChang-Ning Huang
出版地區:台灣
出版城市:台北市
學科:電機資訊
關鍵字:natural language processing ; word sense disambiguation ; unsupervised learning ; vector space ; language modeling
刊名:International Journal of Computational Linguistics & Chinese Language Processing
卷期:4卷2期(1999.8)
頁碼:1-19
語言:英語
摘要: 英文摘要PDF

Word sense disambiguation is one of the most difficult problems in natural language processing. This paper puts forward a model for mapping a structural semantic space from a thesaurus into a multi-dimensional, real-valued vector space and gives a word sense disambiguation method based on this mapping. The model, which uses an unsupervised learning method to acquire the disambiguation knowledge, not only saves extensive manual work, but also realizes the sense tagging of a large number of content words. Firstly, a Chinese thesaurus Cilin and a very large-scale corpus are used to construct the structure of the semantic space. Then, a dynamic disambiguation model is developed to disambiguate an ambiguous word according to the vectors of monosemous words in each of its possible categories. In order to resolve the problem of data sparseness, a method is proposed to make the model more robust. Testing results show that the model has relatively good performance and can also be used for other languages.


    

本卷期目次
International Journal of Computational Linguistics & Chinese Language Processing 4卷2期 (1999.8)
A Model for Word Sense Disambiguation/ Juan-Zi LiChang-Ning Huang
基於知網的常識知識標注/ 顏國偉譚慧敏
Resolving Translation Ambiguity and Target Polysemy in Cross-Language Information Retrieval+/ Hsin-Hsi ChenGuo-Wei BianWen-Cheng Lin
中文句結構樹資料庫的構建(Sinica Treebank)/ 陳鳳儀蔡碧芳陳克健黃居仁
A Model for Word Sense Disambiguation/ Juan-Zi LiChang-Ning Huang
Resolving Translation Ambiguity and Target Polysemy in Cross-Language Information Retrieval+/ Hsin-Hsi ChenGuo-Wei BianWen-Cheng Lin
基於知網的常識知識標注/ 顏國偉譚慧敏
中文句結構樹資料庫的構建/ 陳鳳儀蔡碧芳陳克健黃居仁
 
   
 
   

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