A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task

A two-stage model for ad hoc text retrieval is proposed in which recall and precision are maximized sequentially. The rst stage employs query expansion methods using WordNet and on a modi ed stemming algorithm. The second stage incorporates a term proximity-based scoring function and a prototype-based reranking method. The e ectiveness of the two-stage retrieval model is tested on the TREC-7 ad hoc text data.