Enhancement of passage scorers by proximity-based term occurrence weighting Online publication date: Mon, 31-Mar-2014
by Rey-Long Liu; Rey-Hsing Hu
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 7, No. 6, 2013
Abstract: Given a query and a document, passage retrievers aim at selecting from the document those passages that are relevant to the query. Passage scoring is thus essential for passage retrievers. In this paper, we present a technique named proximity-based term occurrence weighting (PTOW), which employs term proximity information to enhance various kinds of passage scorers. For each occurrence of a query term t at position k in a passage, PTOW increments the weight of the occurrence based on how other query terms appear around k. The occurrence weight is then passed to the passage scorers. Empirical evaluation shows that PTOW significantly enhances two passage scorers. Moreover, when compared with two state-of-the-art techniques that enhance scorers by term proximity information, PTOW performs significantly better as well. The contributions are of practical significance, since many passage scorers have been developed and PTOW may further enhance their performance.
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