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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinwu Hu Liuling Dai Bin Liu |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing (Liuling Dai; Bin Liu) || Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing (Jinwu Hu) |
| Abstract | Semantic similarity between two words is a fundamental issue for many natural language processing applications. The difficulty lies in that how to develop a computational method that is capable of generating satisfactory results close to what humans would perceive. In this paper, we proposed a novel approach to measure the semantic similarity between two English words by exploring the utility of HowNet, which is a valuable Chinese-English bilingual knowledge base. When compared with a benchmark set by human similarity judgment, the measures achieved by our algorithm are quite sound. |
| Starting Page | 1689 |
| Ending Page | 1694 |
| File Size | 324142 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769533988 |
| DOI | 10.1109/ICYCS.2008.92 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Solid modeling Taxonomy Humans hownet Conference management Information retrieval Knowledge management Computer science Technology management bilingual knowledge base Natural language processing Semantic similarity Joining processes |
| Content Type | Text |
| Resource Type | Article |
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