Extending Translate-Train for ColBERT-X to African Language CLIR
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Abstract (arXiv)
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 translate the documents and the training passages, and ColBERT-X as the retrieval model. Additionally, we present a set of unofficial runs that use an alternative training procedure with a similar training setting.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 14 references that are in the map. First posted on arXiv 11 Apr 2024.
Builds on
9 of 14 references.
References · 9
- 2017Attention Is All You Needcited by 59,932
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
- 2020ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTcited by 1,160
- 2021ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interactioncited by 464
- 2022PLAID: An Efficient Engine for Late Interaction Retrievalcited by 95
- 2022Transfer Learning Approaches for Building Cross-Language Dense Retrieval Modelscited by 36
- 2022C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrievalcited by 14
- 2023Overview of the TREC 2022 NeuCLIR Trackcited by 11
- 2023Synthetic Cross-language Information Retrieval Training Datacited by 8
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Citing papers per year: 2026: 1.
1 paper.