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https://github.com/d-roberts/transformers-retrieval-ranking-nli-ecir2021

Multilingual retrieval, ranking and natural language inference with transformers (mBERT); PyTorch implementation code for article in European Conference on Information Retrieval (ECIR2021)
https://github.com/d-roberts/transformers-retrieval-ranking-nli-ecir2021

bert information-retrieval multilingual natural-language-inference nlp onnx pytorch ranking textual-entailment transfer-learning transformers

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Multilingual retrieval, ranking and natural language inference with transformers (mBERT); PyTorch implementation code for article in European Conference on Information Retrieval (ECIR2021)

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## PyTorch Codebase for the article

[Multilingual Evidence Retrieval, Ranking and Natural Language Inference](https://arxiv.org/pdf/2012.08919.pdf)

Requires up to 3Gb RAM. Fine-tuned models will be downloaded from S3; please email for access to models and datasets.

To cite:
```
@inproceedings{olteanu2021multilingual,
title={Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism},
author={Olteanu Roberts, Denisa A},
booktitle={European Conference on Information Retrieval},
pages={359--367},
year={2021},
organization={Springer}
}
```