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| 基于词汇注释的层次化领域标注 | |
| 引用本文： | 朱朝勇,黄河燕,史树敏.基于词汇注释的层次化领域标注[J].中国通信学报,2012,9(3):19-27. |
| 作者姓名： | 朱朝勇 黄河燕 史树敏 |
| 摘 要： | |
| 收稿时间： | 2012-04-20; |
Hierarchical Domain Assignment Based on Word-Gloss |
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| Zhu Chaoyong,Huang Heyan,Shi Shumin.Hierarchical Domain Assignment Based on Word-Gloss[J].China communications magazine,2012,9(3):19-27. | |
| Authors: | Zhu Chaoyong Huang Heyan Shi Shumin |
| Institution: | 1School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, P. R. China 2School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, P. R. China 3Beijing Engineering Research Center of High Volume Language Information Processing & Cloud Computing Applications, Beijing Institute of Technology, Beijing 100081, P. R. China |
| Abstract: | This paper proposes a hierarchical word domain assignment algorithm to automatically build domain dictionaries from Machine-Readable Dictionary (MRD). The process for word domain assignment can be divided into three steps: 1) Hierarchical structure constructing; 2 ) Classifier training; 3 ) Word domain assigning. Compared with the traditional methods, the hierarchical word domain assignment algorithm enhances the accuracy of word domain assignment while reducing human efforts on collecting corpus. Experiments on WordNet 2.0 show that 62.53% of the first domain labels are matched with the WordNet Domains 3.0 by using gloss-based word domain assignment, and the performance can be further improved by utilizing the hierarchical relationships among the domain sets. |
| Keywords: | natural language processing domain dictionary hierarchical classification domain assignment WordNet MRD |
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