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README.md
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license: cc-by-sa-4.0
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This is an argument structure prediction model for the scientific domain. It is a pointer network based on
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[SciArg dataset](https://aclanthology.org/W18-5206/), see [here](https://huggingface.co/datasets/pie/sciarg) for
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further information and an integration into [pie-datasets](https://github.com/ArneBinder/pie-datasets). Further
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information regarding the training setup and model performance can be found in the [config.yaml](config.yaml),
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in the [wandb-metadata.json](wandb-metadata.json), and in [wandb-summary.json](wandb-summary.json).
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You can try out the model in [this HF space](https://huggingface.co/spaces/ArneBinder/sam-pointer-bart-base-v0.3).
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license: cc-by-sa-4.0
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datasets:
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- pie/sciarg
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- DFKI-SLT/sciarg
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language:
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- en
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This is an argument structure prediction model for the scientific domain. It is a pointer network based on
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[SciArg dataset](https://aclanthology.org/W18-5206/), see [here](https://huggingface.co/datasets/pie/sciarg) for
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further information and an integration into [pie-datasets](https://github.com/ArneBinder/pie-datasets). Further
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information regarding the training setup and model performance can be found in the [config.yaml](config.yaml),
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in the [wandb-metadata.json](wandb-metadata.json), and in [wandb-summary.json](wandb-summary.json).
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([link to private W&B run](https://wandb.ai/arne/dataset-sciarg-task-ner_re-v0.3-training/runs/wr3bg4la))
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You can try out the model in [this HF space](https://huggingface.co/spaces/ArneBinder/sam-pointer-bart-base-v0.3).
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