Foundations of statistical natural language processing
Foundations of statistical natural language processing
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
Information Retrieval: Algorithms and Heuristics (The Kluwer International Series on Information Retrieval)
LDA-based document models for ad-hoc retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Sentences generation by frequent parsing patterns
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
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To improve and enhance information retrieval techniques, there have been many approaches proposed so far, but few investigation which capture semantic aspects of queries directly. Here we propose a new approach to retrieve contextual dependencies in Japanese based on latent topics. We examine some experimental results to see the effectiveness.