Paper: Latent Document Re-Ranking

ACL ID D09-1163
Title Latent Document Re-Ranking
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

The problem of re-ranking initial retrieval re- sults exploring the intrinsic structure of docu- ments is widely researched in information re- trieval (IR) and has attracted a considerable amount of time and study. However, one of the drawbacks is that those algorithms treat queries and documents separately. Further- more, most of the approaches are predomi- nantly built upon graph-based methods, which may ignore some hidden information among the retrieval set. This paper proposes a novel document re- ranking method based on Latent Dirichlet Al- location (LDA) which exploits the implicit structure of the documents with respect to original queries. Rather than relying on graph- based techniques to identify the internal struc- ture, the approach tries to find the latent struc- ...