QEQR: An Exploration of Query Expansion Methods for Question Retrieval in CQA Services
This addresses the challenge of finding similar questions in CQA services, but it is incremental as it builds on existing query expansion techniques.
The paper tackled the lexical gap problem in question retrieval for CQA services by using query expansion methods, achieving a 1.8% relative improvement over the best baseline.
CQA services are valuable sources of knowledge that can be used to find answers to users' information needs. In these services, question retrieval aims to help users with their information needs by finding similar questions to theirs. However, finding similar questions is obstructed by the lexical gap that exists between relevant questions. In this work, we target this problem by using query expansion methods. We use word-similarity-based methods, propose a question-similarity-based method and selective expansion of these methods to expand a question that's been submitted and mitigate the lexical gap problem. Our best method achieves a significant relative improvement of 1.8\% compared to the best-performing baseline without query expansion.