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license: mit
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language:
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---
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# NegMPNet
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This is a negation-aware version of [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2).
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It is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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```
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##
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license: mit
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language:
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- en
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datasets:
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- tum-nlp/cannot-dataset
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---
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# NegMPNet
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This is a negation-aware version of [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2).
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It is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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For further information, see our paper [This is not correct! Negation-aware Evaluation of Language Generation Systems](https://arxiv.org/abs/2307.13989).
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<!--- Describe your model here -->
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)
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```
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## Citation
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Please cite our [INLG 2023 paper](https://arxiv.org/abs/2307.13989), if you use our model.
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**BibTeX:**
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```bibtex
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@misc{anschütz2023correct,
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title={This is not correct! Negation-aware Evaluation of Language Generation Systems},
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author={Miriam Anschütz and Diego Miguel Lozano and Georg Groh},
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year={2023},
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eprint={2307.13989},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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