Probabilistic models in information retrieval
The Computer Journal - Special issue on information retrieval
Fast and quasi-natural language search for gigabytes of Chinese texts
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Comparing representations in Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
On the use of words and n-grams for Chinese information retrieval
IRAL '00 Proceedings of the fifth international workshop on on Information retrieval with Asian languages
Re-ranking model based on document clusters
Information Processing and Management: an International Journal
Improving the retrieval effectiveness of very short queries
Information Processing and Management: an International Journal
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Re-ranking method based on inter-document distances
Information Processing and Management: an International Journal
Learning word senses with feature selection and order identification capabilities
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Document re-ranking based on automatically acquired key terms in Chinese information retrieval
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Improving retrieval effectiveness by using key terms in top retrieved documents
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Document re-ranking using cluster validation and label propagation
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
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In this article we describe our approach to Chinese information retrieval, where a query is a short natural language description. First, we use automatically extracted short terms from document sets to build indexes and use the short terms in both the query and documents to do initial retrieval. Next, we use long terms extracted from the document collection to reorder the top N retrieved documents to improve precision. Finally, we acquire the relevant terms of the short terms from the Internet and the top retrieved documents and use them to do query expansion. Experiments on the NTCIR-4 CLIR Chinese SLIR sub-collection show that document reranking can both improve the retrieval performance on its own and make a significant contribution to query expansion. The experiments also show that the extended query expansion proposed in this article is more effective than the standard Rocchio query expansion.