Fine-tuned model weights for Stance Detection Benchmark System
Description
This collection includes model weights (BERT-based), fine-tuned in a multi-task setting on 10 heterogeneous stance detection datasets. For more information, please refer to the paper and the GitHub repository linked in the paper. DISCLAIMER: The user acknowledges and agrees that the data is provided on an “as-is” basis and that the licensor makes no representations or warranties of any kind.
DFG subject classification
4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
Related third party funded projects
PTJ | 03VP02540 | ArgumenTextRelated Resources
- Is cited by: arXiv:2001.01565
- Is cited by: DOI:10.1007/s13218-021-00714-w
Collections
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Argument Mining [19]
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