Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?

Romain Deveaud, Eric SanJuan and Patrice Bellot

The 51st Annual Meeting of the Association for Computational Linguistics - Short Papers (ACL Short Papers 2013)
Sofia, Bulgaria, August 4-9, 2013

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Abstract

The current topic modeling approaches for Information Information do not allow to explicitly model query-oriented latent topics. More, the semantic coherence of the topics has never been considered in this field. We propose a model-based feedback approach that learns Latent Dirichlet Allocation topic models on the top-ranked pseudo-relevant feedback, and we measure the semantic coherence of those topics. We perform a first experimental evaluation using two major TREC test collections. Results show that retrieval performances tend to be better when using topics with higher semantic coherence.

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