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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hyun-Kyu Kang Heung Seok Jeon Myeong-Cheol Ko Jin Soo Kim Kiduk Yang |
| Copyright Year | 2007 |
| Description | Author affiliation: Konkuk Univ., Chungju (Hyun-Kyu Kang; Heung Seok Jeon; Myeong-Cheol Ko; Jin Soo Kim) |
| Abstract | The resolving of word sense ambiguity is one of important problem in information retrieval. Words can have several meanings or senses, and a use of the word out of context is ambiguous between these senses. Mutual information is a relation measure which represents relation between a word and another word. To disambiguate the lexical ambiguity in the retrieved documents, we re-evaluate relation between terms of retrieved document and terms of query. In this paper, we discuss a resolving of word sense ambiguity of information retrieval that is two-level document ranking method using mutual information. At the first level, we retrieve documents based on an automatically constructed keyword index. At the second-level, we reorder the retrieved documents using mutual information. We show that our method provides a resolving of word sense ambiguity in the retrieved documents. Also, we analyze several formulas and found a formula which to disambiguate the word sense ambiguity in the retrieved documents. |
| Starting Page | 315 |
| Ending Page | 319 |
| File Size | 3584629 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769530451 |
| DOI | 10.1109/ISITC.2007.39 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-23 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Information science Hospitals Encyclopedias Information retrieval Frequency Libraries Natural language processing Information technology Mutual information |
| Content Type | Text |
| Resource Type | Article |
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