Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM

@inproceedings{Habernal2016WhichAI,
  title={Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM},
  author={Ivan Habernal and Iryna Gurevych},
  booktitle={ACL},
  year={2016}
}
We propose a new task in the field of computational argumentation in which we investigate qualitative properties of Web arguments, namely their convincingness. We cast the problem as relation classification, where a pair of arguments having the same stance to the same prompt is judged. We annotate a large datasets of 16k pairs of arguments over 32 topics and investigate whether the relation “A is more convincing than B” exhibits properties of total ordering; these findings are used as global… CONTINUE READING
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