readme: ---
  license: cc-by-sa-4.0
  ---
  
  # Model Description
  
  Query 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/.
  
  ## Usage 
  
  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-question_encoder-multiset-base`.
  
  ## Performance comparison
  
  | R@5kt | R@2kt | model |
  |-------|-------|-------|
  | 69.6 | 62.2 | DPR, En, XOR-TyDi paper (https://arxiv.org/pdf/2010.11856.pdf, table 13) |
  | 70.22 | 64.34 | DPR, En, trained on En (human) version of XOR |
  
  
  ## BibTeX entry and citation info
  ```bibtex
  @inproceedings{asai-etal-2021-xor,
      title = "{XOR} {QA}: Cross-lingual Open-Retrieval Question Answering",
      author = "Asai, Akari  and
        Kasai, Jungo  and
        Clark, Jonathan  and
        Lee, Kenton  and
        Choi, Eunsol  and
        Hajishirzi, Hannaneh",
      booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
      month = jun,
      year = "2021",
      address = "Online",
      publisher = "Association for Computational Linguistics",
      url = "https://aclanthology.org/2021.naacl-main.46",
      doi = "10.18653/v1/2021.naacl-main.46",
      pages = "547--564",
  }
  ```
  
  ```bibtex
  @inproceedings{karpukhin-etal-2020-dense,
      title = "Dense Passage Retrieval for Open-Domain Question Answering",
      author = "Karpukhin, Vladimir  and
        Oguz, Barlas  and
        Min, Sewon  and
        Lewis, Patrick  and
        Wu, Ledell  and
        Edunov, Sergey  and
        Chen, Danqi  and
        Yih, Wen-tau",
      booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
      month = nov,
      year = "2020",
      address = "Online",
      publisher = "Association for Computational Linguistics",
      url = "https://aclanthology.org/2020.emnlp-main.550",
      doi = "10.18653/v1/2020.emnlp-main.550",
      pages = "6769--6781",
  }
  ```
  