| Word sense disambiguation based on rough set |
| |
| 引用本文： | 陈清才,王晓龙,赵健,陈滨,王长风. Word sense disambiguation based on rough set[J]. 哈尔滨工业大学学报(英文版), 2002, 9(2) |
| |
| 作者姓名： | 陈清才 王晓龙 赵健 陈滨 王长风 |
| |
| 作者单位： | 1.Dept. of Computer Science and Engineering，Harbin Institute of Technology，Harbin 150001，China; 2. China Unicom Heilongjiang Branch，Harbin 150001，China; 3. |
| |
| 基金项目： | SponsoredbytheNationalNaturalScienceFoundationofChina(GrantNo .60 175 0 2 0 )amdScientificFundforHeilongjiangOutstandingYouth(GrantNo .F0 2 0 60 4) |
| |
| 摘 要： | 0 ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅｔａｓｋｏｆｗｏｒｄｓｅｎｓｅｄｉｓａｍｂｉｇｕａｔｉｏｎｉｓｔｏａｓｓｉｇｎａｓｅｎｓｅｏｆａｐｏｌｙｓｅｍｏｕｓｗｏｒｄｔｏａｓｐｅｃｉｆｉｃｃｏｎｔｅｘｔ.Ｉｔｉｓｊｕｓｔａｐｉｅｃｅｏｆｃａｋｅｆｏｒｍｏｓｔｏｆｕｓ .Ｂｕｔｅｖｅｎｎｏｗａｄａｙｓ,ｔｈｉｓｔａｓｋｉｓｔｏｏｈａｒｄｆｏｒａｃｏｍｐｕｔｅｒｔｏｆｉｎｄａｎａｐｐｌｉｅｄｍｅｔｈｏｄｆｏｒｒｅａｌａｐｐｌｉｃａｔｉｏｎｓ.Ｉｔｉｓｎｏｗａｎｄｅｒｔｈａｔｓｏｍｅｒｅｓｅａｒｃｈｅｒｓｎａｍｅｄ…
|
Word sense disambiguation based on rough set |
| |
| CHEN Qing-Cai,WANG Xiao-long,ZHAO Jian,CHEN Bin,WANG Chang-feng. Word sense disambiguation based on rough set[J]. Journal of Harbin Institute of Technology (New Series), 2002, 9(2) |
| |
| Authors: | CHEN Qing-Cai WANG Xiao-long ZHAO Jian CHEN Bin WANG Chang-feng |
| |
| Abstract: | A sense feature system (SFS) is first automatically constructed from the text corpora to structurize the textural information. WSD rules are then extracted from SFS according to their certainty factors and are applied to disambiguate the senses of polysemous words. The entropy of a deterministic rough prediction is used to measure the decision quality of a rule set. Finally, the back off rule smoothing method is further designed to improve the performance of a WSD model. In the experiments, a mean rate of correction achieved during experiments for WSD in the case of rule smoothing is 0.92. |
| |
| Keywords: | word sense disambiguation rough set sense feature system |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
