@inproceedings{ziembicki-etal-2026-polar,
title = "{POLAR}: A Corpus of Questions, Responses and Argumentation in {P}olish Political Radio Discourse",
author = "Ziembicki, Daniel and
Zwierzchowska, Aleksandra and
Sobol, Ewelina and
Przerada, Katarzyna Anna",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.402/",
doi = "10.63317/5hu4iymus53n",
pages = "5146--5157",
abstract = "In this paper, we present POLAR: an experimental dataset designed to investigate question{--}answer structures in political interviews. The study also aims to integrate this level of annotation with the identification of argumentative structures. The dataset comprises orthographic transcriptions of Polish political radio interviews conducted between December 2023 and March 2024, with a total duration of nearly 10 hours of recordings (94,015 tokens). Manual annotation was performed on three levels: (a) identification of questions as speech acts, (b) classification of responses to questions, and (c) argumentative structures in which interrogative sentences function as premises or conclusions. The results show that not all interrogative sentences function as questions in the sense of requesting information {---} 23{\%} do not serve this function, while 13{\%} were identified as components of argumentative structures. We also introduce a gold-standard corpus, together with baseline experiments and LLM-based evaluations, demonstrating the usefulness of the resource for both theoretical research and NLP applications."
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%0 Conference Proceedings
%T POLAR: A Corpus of Questions, Responses and Argumentation in Polish Political Radio Discourse
%A Ziembicki, Daniel
%A Zwierzchowska, Aleksandra
%A Sobol, Ewelina
%A Przerada, Katarzyna Anna
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F ziembicki-etal-2026-polar
%X In this paper, we present POLAR: an experimental dataset designed to investigate question–answer structures in political interviews. The study also aims to integrate this level of annotation with the identification of argumentative structures. The dataset comprises orthographic transcriptions of Polish political radio interviews conducted between December 2023 and March 2024, with a total duration of nearly 10 hours of recordings (94,015 tokens). Manual annotation was performed on three levels: (a) identification of questions as speech acts, (b) classification of responses to questions, and (c) argumentative structures in which interrogative sentences function as premises or conclusions. The results show that not all interrogative sentences function as questions in the sense of requesting information — 23% do not serve this function, while 13% were identified as components of argumentative structures. We also introduce a gold-standard corpus, together with baseline experiments and LLM-based evaluations, demonstrating the usefulness of the resource for both theoretical research and NLP applications.
%R 10.63317/5hu4iymus53n
%U https://aclanthology.org/2026.lrec-1.402/
%U https://doi.org/10.63317/5hu4iymus53n
%P 5146-5157
Markdown (Informal)
[POLAR: A Corpus of Questions, Responses and Argumentation in Polish Political Radio Discourse](https://aclanthology.org/2026.lrec-1.402/) (Ziembicki et al., LREC 2026)
ACL