Query reformulation and refinement using NLP-based sentence clustering

Authors:
Frédéric Roulland;Aaron Kaplan;Stefania Castellani;Claude Roux;Antonietta Grasso;Karin Pettersson;Jacki O'Neill
Affiliations:
Xerox Research Centre Europe, Grenoble, France;Xerox Research Centre Europe, Grenoble, France;Xerox Research Centre Europe, Grenoble, France;Xerox Research Centre Europe, Grenoble, France;Xerox Research Centre Europe, Grenoble, France;Xerox Research Centre Europe, Grenoble, France;Xerox Research Centre Europe, Grenoble, France
Venue:
ECIR'07 Proceedings of the 29th European conference on IR research
Year:
2007

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Abstract

We have developed an interactive query refinement tool that helps users search a knowledge base for solutions to problems with electronic equipment. The system is targeted towards non-technical users, who are often unable to formulate precise problem descriptions on their own. Two distinct but interrelated functionalities support the refinement of a vague, non-technical initial query into a more precise problem description: a synonymy mechanism that allows the system to match non-technical words in the query with corresponding technical terms in the knowledge base, and a novel refinement mechanism that helps the user build up successively longer and more precise problem descriptions starting from the seed of the initial query. A natural language parser is used both in the application of context-sensitive synonymy rules and the construction of the refinement tree.