LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback

Abstract

Pseudo-relevance feedback (PRF) has proven to be an effective query reformulation technique to improve retrieval accuracy. It aims to alleviate the mismatch of linguistic expressions between a query and its potential relevant documents. Existing PRF methods inde-* Corresponding author This work is licensed under a Creative Commons Attribution International 4.0 License.