Dependency Structure Language Model for Information Retrieval

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– In this paper, we propose a new language model, namely, a dependency structure language model, for information retrieval to compensate for the weakness of bigram and trigram language models. The dependency structure language model is based on the Chow Expansion theory and the dependency parse tree generated by a dependency parser. So, longdistance dependencies can be handled by the dependency structure language model. We carried out some experiments to verify the proposed model. In our experiments, the dependency structure model gives a better performance than recently proposed language models and the Okapi BM25 method, and the dependency structure is more effective than bigram in language modeling for information retrieval.

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تاریخ انتشار 2003