@inproceedings{zeng-etal-2024-annotating,
title = "Annotating Evaluative Language: Challenges and Solutions in Applying Appraisal Theory",
author = "Zeng, Jiamei and
Dong, Min and
Fang, Alex Chengyu",
editor = "Bunt, Harry and
Ide, Nancy and
Lee, Kiyong and
Petukhova, Volha and
Pustejovsky, James and
Romary, Laurent",
booktitle = "Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.isa-1.17",
pages = "144--151",
abstract = "This article describes a corpus-based experiment to identify the challenges and solutions in the annotation of evaluative language according to the scheme defined in Appraisal Theory (Martin and White, 2005). Originating from systemic functional linguistics, Appraisal Theory provides a robust framework for the analysis of linguistic expressions of evaluation, stance, and interpersonal relationships. Despite its theoretical richness, the practical application of Appraisal Theory in text annotation presents significant challenges, chiefly due to the intricacies of identifying and classifying evaluative expressions within its sub-system of Attitude, which comprises Affect, Judgement, and Appreciation. This study examines these challenges through the annotation of a corpus of editorials related to the Russian-Ukraine conflict and aims to offer practical solutions to enhance the transparency and consistency of the annotation. By refining the annotation process and addressing the subjective nature in the identification and classification of evaluative language, this work represents some timely effort in the annotation of pragmatic knowledge in language resources.",
}
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%0 Conference Proceedings
%T Annotating Evaluative Language: Challenges and Solutions in Applying Appraisal Theory
%A Zeng, Jiamei
%A Dong, Min
%A Fang, Alex Chengyu
%Y Bunt, Harry
%Y Ide, Nancy
%Y Lee, Kiyong
%Y Petukhova, Volha
%Y Pustejovsky, James
%Y Romary, Laurent
%S Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F zeng-etal-2024-annotating
%X This article describes a corpus-based experiment to identify the challenges and solutions in the annotation of evaluative language according to the scheme defined in Appraisal Theory (Martin and White, 2005). Originating from systemic functional linguistics, Appraisal Theory provides a robust framework for the analysis of linguistic expressions of evaluation, stance, and interpersonal relationships. Despite its theoretical richness, the practical application of Appraisal Theory in text annotation presents significant challenges, chiefly due to the intricacies of identifying and classifying evaluative expressions within its sub-system of Attitude, which comprises Affect, Judgement, and Appreciation. This study examines these challenges through the annotation of a corpus of editorials related to the Russian-Ukraine conflict and aims to offer practical solutions to enhance the transparency and consistency of the annotation. By refining the annotation process and addressing the subjective nature in the identification and classification of evaluative language, this work represents some timely effort in the annotation of pragmatic knowledge in language resources.
%U https://aclanthology.org/2024.isa-1.17
%P 144-151
Markdown (Informal)
[Annotating Evaluative Language: Challenges and Solutions in Applying Appraisal Theory](https://aclanthology.org/2024.isa-1.17) (Zeng et al., ISA-WS 2024)
ACL