Paper: Paraphrasing Adaptation for Web Search Ranking

ACL ID P13-2008
Title Paraphrasing Adaptation for Web Search Ranking
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013

Mismatch between queries and documents is a key issue for the web search task. In order to narrow down such mismatch, in this paper, we present an in-depth inves- tigation on adapting a paraphrasing tech- nique to web search from three aspect- s: a search-oriented paraphrasing mod- el; an NDCG-based parameter optimiza- tion algorithm; an enhanced ranking mod- el leveraging augmented features comput- ed on paraphrases of original queries. Ex- periments performed on the large scale query-document data set show that, the search performance can be significantly improved, with +3.28% and +1.14% ND- CG gains on dev and test sets respectively.