Update README.md
Browse files
README.md
CHANGED
|
@@ -1,5 +1,61 @@
|
|
| 1 |
-
|
|
|
|
|
|
|
| 2 |
|
| 3 |
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/.
|
| 4 |
|
| 5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-sa-4.0
|
| 3 |
+
---
|
| 4 |
|
| 5 |
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/.
|
| 6 |
|
| 7 |
+
## Usage
|
| 8 |
+
|
| 9 |
+
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.
|
| 10 |
+
The model uses the tokenizer from `facebook/dpr-question_encoder-multiset-base`.
|
| 11 |
+
|
| 12 |
+
## Performance comparison
|
| 13 |
+
|
| 14 |
+
| R@5kt | R@2kt | model |
|
| 15 |
+
|-------|-------|-------|
|
| 16 |
+
| 69.6 | 62.2 | DPR, En, XOR-TyDi paper (https://arxiv.org/pdf/2010.11856.pdf, table 13) |
|
| 17 |
+
| 70.22 | 64.34 | DPR, En, trained on En (human) version of XOR |
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## BibTeX entry and citation info
|
| 21 |
+
```bibtex
|
| 22 |
+
@inproceedings{asai-etal-2021-xor,
|
| 23 |
+
title = "{XOR} {QA}: Cross-lingual Open-Retrieval Question Answering",
|
| 24 |
+
author = "Asai, Akari and
|
| 25 |
+
Kasai, Jungo and
|
| 26 |
+
Clark, Jonathan and
|
| 27 |
+
Lee, Kenton and
|
| 28 |
+
Choi, Eunsol and
|
| 29 |
+
Hajishirzi, Hannaneh",
|
| 30 |
+
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
|
| 31 |
+
month = jun,
|
| 32 |
+
year = "2021",
|
| 33 |
+
address = "Online",
|
| 34 |
+
publisher = "Association for Computational Linguistics",
|
| 35 |
+
url = "https://aclanthology.org/2021.naacl-main.46",
|
| 36 |
+
doi = "10.18653/v1/2021.naacl-main.46",
|
| 37 |
+
pages = "547--564",
|
| 38 |
+
}
|
| 39 |
+
```
|
| 40 |
+
|
| 41 |
+
```bibtex
|
| 42 |
+
@inproceedings{karpukhin-etal-2020-dense,
|
| 43 |
+
title = "Dense Passage Retrieval for Open-Domain Question Answering",
|
| 44 |
+
author = "Karpukhin, Vladimir and
|
| 45 |
+
Oguz, Barlas and
|
| 46 |
+
Min, Sewon and
|
| 47 |
+
Lewis, Patrick and
|
| 48 |
+
Wu, Ledell and
|
| 49 |
+
Edunov, Sergey and
|
| 50 |
+
Chen, Danqi and
|
| 51 |
+
Yih, Wen-tau",
|
| 52 |
+
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
|
| 53 |
+
month = nov,
|
| 54 |
+
year = "2020",
|
| 55 |
+
address = "Online",
|
| 56 |
+
publisher = "Association for Computational Linguistics",
|
| 57 |
+
url = "https://aclanthology.org/2020.emnlp-main.550",
|
| 58 |
+
doi = "10.18653/v1/2020.emnlp-main.550",
|
| 59 |
+
pages = "6769--6781",
|
| 60 |
+
}
|
| 61 |
+
```
|