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- XOR-TyDi_monolingual_DPR_ctx_encoder
 
 
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  Document (context) encoder, trained on monolingual (English queries) version of the XOR-TyDi training data, as described in the XOR-TyDi task description https://nlp.cs.washington.edu/xorqa/.
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- The model is compatible with the PrimeQA DPR engine, or the Hugging Face DPR engine as shown this example https://huggingface.co/docs/datasets/faiss_es. The model uses the tokenizer from `facebook/dpr-ctx_encoder-multiset-base`.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-sa-4.0
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+ ---
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  Document (context) encoder, trained on monolingual (English queries) version of the XOR-TyDi training data, as described in the XOR-TyDi task description https://nlp.cs.washington.edu/xorqa/.
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+ ## Usage
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+
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+ The model is compatible with the PrimeQA DPR engine, or the Hugging Face DPR engine as shown this example https://huggingface.co/docs/datasets/faiss_es.
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+ The model uses the tokenizer from `facebook/dpr-question_encoder-multiset-base`.
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+
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+ ## Performance comparison
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+
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+ | R@5kt | R@2kt | model |
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+ |-------|-------|-------|
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+ | 69.6 | 62.2 | DPR, En, XOR-TyDi paper (https://arxiv.org/pdf/2010.11856.pdf, table 13) |
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+ | 70.22 | 64.34 | DPR, En, trained on En (human) version of XOR |
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+
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+
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+ ## BibTeX entry and citation info
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+ ```bibtex
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+ @inproceedings{asai-etal-2021-xor,
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+ title = "{XOR} {QA}: Cross-lingual Open-Retrieval Question Answering",
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+ author = "Asai, Akari and
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+ Kasai, Jungo and
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+ Clark, Jonathan and
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+ Lee, Kenton and
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+ Choi, Eunsol and
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+ Hajishirzi, Hannaneh",
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+ booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
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+ month = jun,
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+ year = "2021",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2021.naacl-main.46",
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+ doi = "10.18653/v1/2021.naacl-main.46",
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+ pages = "547--564",
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+ }
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+ ```
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+
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+ ```bibtex
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+ @inproceedings{karpukhin-etal-2020-dense,
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+ title = "Dense Passage Retrieval for Open-Domain Question Answering",
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+ author = "Karpukhin, Vladimir and
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+ Oguz, Barlas and
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+ Min, Sewon and
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+ Lewis, Patrick and
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+ Wu, Ledell and
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+ Edunov, Sergey and
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+ Chen, Danqi and
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+ Yih, Wen-tau",
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+ booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
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+ month = nov,
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+ year = "2020",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2020.emnlp-main.550",
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+ doi = "10.18653/v1/2020.emnlp-main.550",
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+ pages = "6769--6781",
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+ }
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+ ```