PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributions
Global Knowledge, Memory and Communication
ISSN: 2514-9342
Article publication date: 8 November 2022
Issue publication date: 23 July 2024
Abstract
Purpose
By far, the corpus for the quotation extraction and quotation attribution tasks in Indonesian is still limited in quantity and depth. This study aims to develop an Indonesian corpus of public figure statements attributions and a baseline model for attribution extraction, so it will contribute to fostering research in information extraction for the Indonesian language.
Design/methodology/approach
The methodology is divided into corpus development and extraction model development. During corpus development, data were collected and annotated. The development of the extraction model entails feature extraction, the definition of the model architecture, parameter selection and configuration, model training and evaluation, as well as model selection.
Findings
The Indonesian corpus of public figure statements attribution achieved 90.06% agreement level between the annotator and experts and could serve as a gold standard corpus. Furthermore, the baseline model predicted most labels and achieved 82.026% F-score.
Originality/value
To the best of the authors’ knowledge, the resulting corpus is the first corpus for attribution of public figures’ statements in the Indonesian language, which makes it a significant step for research on attribution extraction in the language. The resulting corpus and the baseline model can be used as a benchmark for further research. Other researchers could follow the methods presented in this paper to develop a new corpus and baseline model for other languages.
Keywords
Acknowledgements
The authors are grateful to Universitas Atma Jaya Yogyakarta and the Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat Dan Komunikasi, Universiti Teknikal Malaysia Melaka for supporting this publication.
Citation
Purnomo W.P., Y.S., Kumar, Y.J. and Zulkarnain, N.Z. (2024), "PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributions", Global Knowledge, Memory and Communication, Vol. 73 No. 6/7, pp. 853-870. https://doi.org/10.1108/GKMC-04-2022-0091
Publisher
:Emerald Publishing Limited
Copyright © 2022, Emerald Publishing Limited