Paper: A Hybrid Approach To Natural Language Web Search

ACL ID W02-1024
Title A Hybrid Approach To Natural Language Web Search
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2002
Authors

We describe a hybrid approach to improv- ing search performance by providing a natural language front end to a traditional keyword-based search engine. The key component of the system is iterative query formulation and retrieval, in which one or more queries are automatically formulated from the user’s question, issued to the search engine, and the results accumulated to form the hit list. New queries are gener- ated by relaxing previously-issued queries using transformation rules, applied in an order obtained by reinforcement learning. This statistical component is augmented by a knowledge-driven hub-page identi- fier that retrieves a hub-page for the most salient noun phrase in the question, if possible. Evaluation on an unseen test set over the www.ibm.com public web- site with 1.3 mi...