@inproceedings{zaczynska-etal-2024-diplomats-dispute,
title = "How Diplomats Dispute: The {UN} Security Council Conflict Corpus",
author = "Zaczynska, Karolina and
Bourgonje, Peter and
Stede, Manfred",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.716",
pages = "8173--8183",
abstract = "We investigate disputes in the United Nations Security Council (UNSC) by studying the linguistic means of expressing conflicts. As a result, we present the UNSC Conflict Corpus (UNSCon), a collection of 87 UNSC speeches that are annotated for conflicts. We explain and motivate our annotation scheme and report on a series of experiments for automatic conflict classification. Further, we demonstrate the difficulty when dealing with diplomatic language - which is highly complex and often implicit along various dimensions - by providing corpus examples, readability scores, and classification results.",
}
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%0 Conference Proceedings
%T How Diplomats Dispute: The UN Security Council Conflict Corpus
%A Zaczynska, Karolina
%A Bourgonje, Peter
%A Stede, Manfred
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F zaczynska-etal-2024-diplomats-dispute
%X We investigate disputes in the United Nations Security Council (UNSC) by studying the linguistic means of expressing conflicts. As a result, we present the UNSC Conflict Corpus (UNSCon), a collection of 87 UNSC speeches that are annotated for conflicts. We explain and motivate our annotation scheme and report on a series of experiments for automatic conflict classification. Further, we demonstrate the difficulty when dealing with diplomatic language - which is highly complex and often implicit along various dimensions - by providing corpus examples, readability scores, and classification results.
%U https://aclanthology.org/2024.lrec-main.716
%P 8173-8183
Markdown (Informal)
[How Diplomats Dispute: The UN Security Council Conflict Corpus](https://aclanthology.org/2024.lrec-main.716) (Zaczynska et al., LREC-COLING 2024)
ACL
- Karolina Zaczynska, Peter Bourgonje, and Manfred Stede. 2024. How Diplomats Dispute: The UN Security Council Conflict Corpus. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 8173–8183, Torino, Italia. ELRA and ICCL.