4 citations · 11 across the 13 of their papers we have counts for
15 papers
Extending Translate-Train for ColBERT-X to African Language CLIR
Eugene Yang, Dawn J. Lawrie, Paul McNamee +1
This paper describes the submission runs from the HLTCOE team at the CIRAL CLIR tasks for African languages at FIRE 2023. Our submissions use machine translation models to translat…
HLTCOE at TREC 2023 NeuCLIR Track
Eugene Yang, Dawn Lawrie, James Mayfield
The HLTCOE team applied PLAID, an mT5 reranker, and document translation to the TREC 2023 NeuCLIR track. For PLAID we included a variety of models and training techniques -- the En…
Overview of the TREC 2023 NeuCLIR Track
Dawn Lawrie, Sean MacAvaney, James Mayfield +4
The principal goal of the TREC Neural Cross-Language Information Retrieval (NeuCLIR) track is to study the impact of neural approaches to cross-language information retrieval. The…
Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation
Eugene Yang, Dawn Lawrie, James Mayfield +2
Prior work on English monolingual retrieval has shown that a cross-encoder trained using a large number of relevance judgments for query-document pairs can be used as a teacher to…
Synthetic Cross-language Information Retrieval Training Data
James Mayfield, Eugene Yang, Dawn Lawrie +5
A key stumbling block for neural cross-language information retrieval (CLIR) systems has been the paucity of training data. The appearance of the MS MARCO monolingual training set…
Overview of the TREC 2022 NeuCLIR Track
Dawn Lawrie, Sean MacAvaney, James Mayfield +4
This is the first year of the TREC Neural CLIR (NeuCLIR) track, which aims to study the impact of neural approaches to cross-language information retrieval. The main task in this y…