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README.md

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-license: cc-by-sa-4.0
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+license: cc-by-sa-4.0
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+This a argument structure prediction model for the scientific domain. It is a pointer network based on [A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism (Bao et al., EMNLP 2022)](https://aclanthology.org/2022.emnlp-main.713/), but as a full reimplementation within the [PyTorch-IE](https://github.com/ArneBinder/pytorch-ie) framework. The actual source model code can be found in the [pie-modules](https://github.com/ArneBinder/pie-modules) repository. The model was trained with the [PyTorch-IE-Hydra-Template](https://github.com/ArneBinder/pytorch-ie-hydra-template-1) on the [SciArg dataset](https://aclanthology.org/W18-5206/), see [here](https://huggingface.co/datasets/pie/sciarg) for further information and an integration into [pie-datasets](https://github.com/ArneBinder/pie-datasets).