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# Discourse marker / connective prediction
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`roberta-base` pretrained on discourse marker prediction on the Discovery dataset with a validation accuracy of 30.93% (majority class is 0.57%)
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https://huggingface.co/datasets/discovery
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This model can be used as a pretrained model for discourse tasks
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# Discourse marker / connective prediction pretrained model
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`roberta-base` pretrained on discourse marker prediction on the Discovery dataset with a validation accuracy of 30.93% (majority class is 0.57%)
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https://huggingface.co/datasets/discovery
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This model can also be used as a pretrained model for NLU, pragmatics and discourse tasks
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## Citing & Authors
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```bibtex
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@inproceedings{sileo-etal-2019-mining,
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title = "Mining Discourse Markers for Unsupervised Sentence Representation Learning",
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author = "Sileo, Damien and
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Van De Cruys, Tim and
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Pradel, Camille and
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Muller, Philippe",
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booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
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month = jun,
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year = "2019",
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address = "Minneapolis, Minnesota",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/N19-1351",
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doi = "10.18653/v1/N19-1351",
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pages = "3477--3486",
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}
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```
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