LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
Yunchang ZhuLiang PangYanyan LanHuawei ShenXueqi ChengPublished in: CoRR (2022)
Keyphrases
- query reformulation
- pseudo relevance feedback
- query expansion
- retrieval effectiveness
- language model
- document retrieval
- average precision
- retrieval systems
- relevance feedback
- query formulation
- relevant documents
- information retrieval
- search sessions
- information retrieval systems
- anchor text
- retrieval model
- text mining
- information extraction