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Code for the paper "Detecting Argumentative Discourse Acts with Linguistic Alignment", 6th Workshop of Argumentation Mining, ACL 2019.

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Detecting Argumentative Discourse Units with Linguistic Alignment

Authors: Timothy Niven and Hung-Yu Kao

Abstract:

We report the results of preliminary investigations into the relationship between linguistic alignment and dialogical argumentation at the level of discourse acts. We annotated a proof of concept dataset with illocutions and transitions at the comment level based on Inference Anchoring Theory. We estimated linguistic alignment across discourse acts and found significant variation. Alignment features calculated at the dyad level are found to be useful for detecting a range of argumentative discourse acts.

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Reproducing our Results

First install requirements in environment.yml.

Then run the notebook Experimental Results.ipynb.

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Code for the paper "Detecting Argumentative Discourse Acts with Linguistic Alignment", 6th Workshop of Argumentation Mining, ACL 2019.

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