Papers with support-based entailment

1 papers
Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions. (L18-1)

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Challenge: Argument mining is a method for extracting argument components and structures from natural language texts.
Approach: They propose to model arguments as a set of premises that either support each other or collectively support a conclusion.
Outcome: The proposed rules give an overall accuracy of 0.83 for the three datasets.

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