Sciweavers

Share
WWW
2001
ACM

Learning search engine specific query transformations for question answering

10 years 3 months ago
Learning search engine specific query transformations for question answering
We introduce a method for learning query transformations that improves the ability to retrieve answers to questions from an information retrieval system. During the training stage the method involves automatically learning phrase features for classifying questionsinto different types, automatically generating candidate query transformations from a training set of question/answer pairs, and automatically evaluating the candidate transforms on target information retrieval systems such as real-world general purpose search engines. At run time, questions are transformed into a set of queries, and re-ranking is performed on the documents retrieved. We present a prototype search engine, Tritus, that applies the method to web search engines. Blind evaluation on a set of real queries from a web search engine log shows that the method significantly outperforms the underlying web search engines as well as a commercial search engine specializing in question answering. Keywords Web search, query ...
Eugene Agichtein, Steve Lawrence, Luis Gravano
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2001
Where WWW
Authors Eugene Agichtein, Steve Lawrence, Luis Gravano
Comments (0)
books