A Web-Based CLIR System with Cross-Lingual Topical Pseudo Relevance Feedback

摘要

This paper presents the performance of a Chinese-English cross-language information retrieval (CLIR) system, which is equipped with topic-based pseudo relevance feedback. The web-based workflow simulates the real multilingual retrieval environment, and the feedback mechanism improves retrieval results automatically without putting excessive burden on users.