Injecting the Score of the First-stage Retriever as Text Improves BERT-Based Re-rankers
MuMUR : Multilingual Multimodal Universal Retrieval
Robust and Efficient Claim Retrieval for Online Fact-Checking Applications
Learning Heterogeneous Subgraph Representations for Team Discovery
Highlighting Exact Matching via Marking Strategies for Ad hoc Document Ranking with Pretrained Contextualized Language Models