The use of phrases and structured queries in information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
A comparison of indexing techniques for Japanese text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
Combining the language model and inference network approaches to retrieval
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Boosting web retrieval through query operations
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Boosting relevance model performance with query term dependence
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Automatic query structuring from sentences for Japanese web retrieval
Proceedings of the 2nd ACM workshop on Improving non english web searching
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We investigate the effectiveness of query structuring in the Japanese language by composing or decomposing compound words and phrases. Our method is based on a theoretical framework using Markov random fields. Our two-stage term dependence model captures both the global dependencies between query components explicitly delimited by separators in a query, and the local dependencies between constituents within a compound word when the compound word appears in a query component. We show that our model works well, particularly when using query structuring with compound words, through experiments using a 100-gigabyte web document collection mostly written in Japanese.