• Corpus ID: 216080397

Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model

@article{Ollinger2020SameSS,
  title={Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model},
  author={Stefan Ollinger and Lorik Dumani and Premtim Sahitaj and Ralph Bergmann and Ralf Schenkel},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.11163}
}
Research on computational argumentation is currently being intensively investigated. The goal of this community is to find the best pro and con arguments for a user given topic either to form an opinion for oneself, or to persuade others to adopt a certain standpoint. While existing argument mining methods can find appropriate arguments for a topic, a correct classification into pro and con is not yet reliable. The same side stance classification task provides a dataset of argument pairs… 

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Same Side Stance Classification Leaderboard

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