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--- |
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language: |
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- en |
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tags: |
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- discourse-marker-prediction |
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- discourse-connective-prediction |
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- discourse-connective |
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- discourse-marker |
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- discourse-relation-prediction |
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- pragmatics |
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- discourse |
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license: apache-2.0 |
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datasets: |
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- discovery |
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metrics: |
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- accuracy |
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widget: |
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- text: "But no, Amazon selling 3D printers is not new.</s></s>The promise of 3D printing is very great." |
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--- |
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# Discourse marker prediction / discourse 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://github.com/sileod/discovery |
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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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``` |
