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
Semantic-aware Retrieval and Recommendation based on the Dirichlet Compound Language Model
Searcher Struggle Detection via the Reversal Theory
Highlighting Exact Matching via Marking Strategies for Ad hoc Document Ranking with Pretrained Contextualized Language Models