Papers by Douglas Adams

1 papers
Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity (2020.acl-main)

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Challenge: Existing methods for predicting a post's stance polarity and intensity don't take into account the stance's degree of intensity.
Approach: They propose to use a new problem to train models for predicting a post's stance polarity and intensity in cyber argumentation.
Outcome: The proposed models perform best for prediction of stance polarity with an accuracy of 70.43% and intensity with RMSE of 0.596.

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