SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Translation-Based Indexing for Cross-Language Retrieval
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Word sense disambiguation in information retrieval revisited
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Iterative translation disambiguation for cross-language information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A statistical framework for query translation disambiguation
ACM Transactions on Asian Language Information Processing (TALIP)
Hi-index | 0.00 |
Cross-Language Information Retrieval (CLIR) combines the traditional Information Retrieval technique and Machine Translation technique. There are many aspects related to the problem of polysemy, which are good cut-in points for the application of WSD in CLIR. Therefore, an attempt in this paper is to apply WSD in English-Chinese Bi-Directional CLIR. The query expansion and the proposed Lesk-C WSD strategy are explored. Although limited improvement on WSD can be obtained, query expansion and disambiguation based on the related strategies of WSD are beneficial to CLIR, and can improve the whole retrieval performance. Specially, by considering the "Coordinate Terms", the Lesk-C algorithm shows the better performance and has more extensive applicability on CLIR.