Journal

From Co-occurrence to Lexical Cohesion for Automatic Query Expansion

This paper explores query expansion (QE) in Information Retrieval Systems (IRS), focusing on Pseudo-Relevance Feedback (PRF) to enhance query formulation. While traditional co-occurrence-based QE methods have limitations, this study investigates lexical-based measures for improving query expansion. A Lexical Cohesion-Based Query Expansion (LCBQE) algorithm is proposed and evaluated on the TREC dataset. Experimental results suggest that lexical-based approaches perform as well as or better than co-occurrence methods, demonstrating their potential to enhance retrieval efficiency based on query characteristics.