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# bert-base-cased-NER-reranker
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A BERT model trained on the synthetic literary NER context retrieval dataset [Amalvy et. al, 2023](https://aclanthology.org/2023.emnlp-main.642/).
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To use this model, construct a text of the form **NER-sentence [SEP] context-sentence**.
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The model should predict the positive class if **context-sentence** is useful to predict **NER-sentence**, and the negative class otherwise.
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# bert-base-cased-NER-reranker
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A BERT model trained on the synthetic literary NER context retrieval dataset [Amalvy et. al, 2023](https://aclanthology.org/2023.emnlp-main.642/) [(arXiv)](https://arxiv.org/abs/2310.10118).
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To use this model, construct a text of the form **NER-sentence [SEP] context-sentence**.
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The model should predict the positive class if **context-sentence** is useful to predict **NER-sentence**, and the negative class otherwise.
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