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license: apache-2.0 |
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# Model Description |
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This is a retriever model based on ColBERT v2 with [bert-base-uncased](https://huggingface.co./bert-base-uncased) language model.<br> |
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This model was trained with the OpenNQ data.<br> |
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The architecture of the model and hyper parameters are described in the paper ‘Relevance-guided Supervision for OpenQA with ColBERT’. |
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## Intended uses & limitations |
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This model uses the xlm-roberta-large LM. Biases associated with the pre-trained language model we used may be present in this ColBERT v2 model. |
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## Usage |
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This model can be used with [PrimeQA](https://github.com/primeqa/primeqa)’s [ColBERT](https://github.com/primeqa/primeqa/blob/main/primeqa/ir/README.md) engine. |
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## BibTeX entry and citation info |
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```bibtex |
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@article{Khattab2021RelevanceguidedSF, |
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title={Relevance-guided Supervision for OpenQA with ColBERT}, |
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author={O. Khattab and Christopher Potts and Matei A. Zaharia}, |
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journal={Transactions of the Association for Computational Linguistics}, |
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year={2021}, |
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} |
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``` |
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```bibtex |
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@article{Lee2019LatentRF, |
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title={Latent Retrieval for Weakly Supervised Open Domain Question Answering}, |
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author={Kenton Lee and Ming-Wei Chang and Kristina Toutanova}, |
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journal={ACL}, |
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year={2019} |
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} |
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``` |
