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        <title>Detecting Argumentative Discourse Acts with Linguistic Alignment</title>
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    <name type="personal">
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            <title>Proceedings of the 6th Workshop on Argument Mining</title>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/W19-4513</identifier>
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%0 Conference Proceedings
%T Detecting Argumentative Discourse Acts with Linguistic Alignment
%A Niven, Timothy
%A Kao, Hung-Yu
%S Proceedings of the 6th Workshop on Argument Mining
%D 2019
%8 aug
%I Association for Computational Linguistics
%C Florence, Italy
%F niven-kao-2019-detecting
%X 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.
%R 10.18653/v1/W19-4513
%U https://aclanthology.org/W19-4513
%U https://doi.org/10.18653/v1/W19-4513
%P 104-112

Markdown (Informal)

[Detecting Argumentative Discourse Acts with Linguistic Alignment](https://aclanthology.org/W19-4513) (Niven & Kao, 2019)

• Detecting Argumentative Discourse Acts with Linguistic Alignment (Niven & Kao, 2019)

ACL

• Timothy Niven and Hung-Yu Kao. 2019. Detecting Argumentative Discourse Acts with Linguistic Alignment. In Proceedings of the 6th Workshop on Argument Mining, pages 104–112, Florence, Italy. Association for Computational Linguistics.