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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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+
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+ ## Citing & Authors
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+
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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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+ ```