Revisiting the dependence language model for information retrieval

Loïc Maisonnasse, Eric Gaussier, Jean-Pierre Chevallet
<span title="">2007</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="" style="color: black;">Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;07</a> </i> &nbsp;
In this paper, we revisit the dependence language model for information retrieval proposed in [1] , and show that this model is deficient from a theoretical point of view. We then propose a new model, well founded theoretically, for integrating dependencies between terms in the language model. This new model is simpler, yet more general, than the one proposed in [1], and yields similar results in our experiments, on both syntactic and semantic dependencies.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1145/1277741.1277863</a> <a target="_blank" rel="external noopener" href="">dblp:conf/sigir/MaisonnasseGC07</a> <a target="_blank" rel="external noopener" href="">fatcat:jmlrjw62bjgshbyer5elprhtfu</a> </span>
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