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Annotating Evaluative Language: Challenges and Solutions in Applying Appraisal Theory

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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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. © 2024 ELRA Language Resource Association.
Original languageEnglish
Title of host publicationProceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @LREC-COLING-2024
EditorsHarry Bunt
PublisherEuropean Language Resources Association (ELRA)
Pages144-151
Number of pages8
ISBN (Electronic)978-2-493814-32-6
Publication statusPublished - May 2024
Event2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) - Hybrid, Torino, Italy
Duration: 20 May 202425 May 2024
https://lrec-coling-2024.org/
https://aclanthology.org/volumes/2024.isa-1/
https://aclanthology.org/2024.lrec-main

Publication series

Name
ISSN (Print)2951-2093
ISSN (Electronic)2522-2686

Conference

Conference2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Abbreviated titleLREC-COLING 2024
PlaceItaly
CityTorino
Period20/05/2425/05/24
Internet address

Funding

This work was supported in part by grants received from China’s National Planning Office of Philosophy and Social Sciences (Project No 22BYY009), Beijing Social Sciences Foundation (Project No. 18JDYYA005) and City University of Hong Kong (Project Grant Nos 7020036, 9360115 and 6008167). The second author would like to thank the Halliday Centre for Intelligent Applications of Language Studies at City University of Hong Kong for a visiting professorship received in 2023.

Research Keywords

  • Appraisal Theory
  • Attitude
  • evaluative language
  • pragmatic annotation

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

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