research on lesk-c-based wsd and its application in english-chinese bi-directional clir
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.
query expansion lesk-c algorithm word sense disambiguation (wsd) wordnet