Paper: Dual-Space Re-ranking Model for Document Retrieval

ACL ID C10-2174
Title Dual-Space Re-ranking Model for Document Retrieval
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

The field of information retrieval still strives to develop models which allow semantic information to be integrated in the ranking process to improve perform- ance in comparison to standard bag-of- words based models. A conceptual model has been adopted in general- purpose retrieval which can comprise a range of concepts, including linguistic terms, latent concepts and explicit knowledge concepts. One of the draw- backs of this model is that the computa- tional cost is significant and often in- tractable in modern test collections. Therefore, approaches utilising concept- based models for re-ranking initial re- trieval results have attracted a consider- able amount of study. This method en- joys the benefits of reduced document corpora for semantic space construction and improv...