@inproceedings{kawaletz-etal-2022-developing,
title = "Developing an argument annotation scheme based on a semantic classification of arguments",
author = "Kawaletz, Lea and
Dorgeloh, Heidrun and
Conrad, Stefan and
Bekcic, Zeljko",
editor = "Lemon, Oliver and
Hakkani-Tur, Dilek and
Li, Junyi Jessy and
Ashrafzadeh, Arash and
Garcia, Daniel Hern{\'a}ndez and
Alikhani, Malihe and
Vandyke, David and
Du{\v{s}}ek, Ond{\v{r}}ej",
booktitle = "Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue",
month = sep,
year = "2022",
address = "Edinburgh, UK",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sigdial-1.6",
doi = "10.18653/v1/2022.sigdial-1.6",
pages = "62--67",
abstract = "Corpora of argumentative discourse are commonly analyzed in terms of argumentative units, consisting of claims and premises. Both argument detection and classification are complex discourse processing tasks. Our paper introduces a semantic classification of arguments that can help to facilitate argument detection. We report on our experiences with corpus annotations using a function-based classification of arguments and a procedure for operationalizing the scheme by using semantic templates.",
}
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%0 Conference Proceedings
%T Developing an argument annotation scheme based on a semantic classification of arguments
%A Kawaletz, Lea
%A Dorgeloh, Heidrun
%A Conrad, Stefan
%A Bekcic, Zeljko
%Y Lemon, Oliver
%Y Hakkani-Tur, Dilek
%Y Li, Junyi Jessy
%Y Ashrafzadeh, Arash
%Y Garcia, Daniel Hernández
%Y Alikhani, Malihe
%Y Vandyke, David
%Y Dušek, Ondřej
%S Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2022
%8 September
%I Association for Computational Linguistics
%C Edinburgh, UK
%F kawaletz-etal-2022-developing
%X Corpora of argumentative discourse are commonly analyzed in terms of argumentative units, consisting of claims and premises. Both argument detection and classification are complex discourse processing tasks. Our paper introduces a semantic classification of arguments that can help to facilitate argument detection. We report on our experiences with corpus annotations using a function-based classification of arguments and a procedure for operationalizing the scheme by using semantic templates.
%R 10.18653/v1/2022.sigdial-1.6
%U https://aclanthology.org/2022.sigdial-1.6
%U https://doi.org/10.18653/v1/2022.sigdial-1.6
%P 62-67
Markdown (Informal)
[Developing an argument annotation scheme based on a semantic classification of arguments](https://aclanthology.org/2022.sigdial-1.6) (Kawaletz et al., SIGDIAL 2022)
ACL