@inproceedings{coltekin-etal-2024-multilingual,
title = "Multilingual Power and Ideology identification in the Parliament: a reference dataset and simple baselines",
author = {{\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i} and
Kopp, Maty{\'a}{\v{s}} and
Katja, Meden and
Morkevicius, Vaidas and
Ljube{\v{s}}i{\'c}, Nikola and
Erjavec, Toma{\v{z}}},
editor = "Fiser, Darja and
Eskevich, Maria and
Bordon, David",
booktitle = "Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.parlaclarin-1.14/",
pages = "94--100",
abstract = "We introduce a dataset on political orientation and power position identification. The dataset is derived from ParlaMint, a set of comparable corpora of transcribed parliamentary speeches from 29 national and regional parliaments. We introduce the dataset, provide the reasoning behind some of the choices during its creation, present statistics on the dataset, and, using a simple classifier, some baseline results on predicting political orientation on the left-to-right axis, and on power position identification, i.e., distinguishing between the speeches delivered by governing coalition party members from those of opposition party members."
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%0 Conference Proceedings
%T Multilingual Power and Ideology identification in the Parliament: a reference dataset and simple baselines
%A Çöltekin, Çağrı
%A Kopp, Matyáš
%A Katja, Meden
%A Morkevicius, Vaidas
%A Ljubešić, Nikola
%A Erjavec, Tomaž
%Y Fiser, Darja
%Y Eskevich, Maria
%Y Bordon, David
%S Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F coltekin-etal-2024-multilingual
%X We introduce a dataset on political orientation and power position identification. The dataset is derived from ParlaMint, a set of comparable corpora of transcribed parliamentary speeches from 29 national and regional parliaments. We introduce the dataset, provide the reasoning behind some of the choices during its creation, present statistics on the dataset, and, using a simple classifier, some baseline results on predicting political orientation on the left-to-right axis, and on power position identification, i.e., distinguishing between the speeches delivered by governing coalition party members from those of opposition party members.
%U https://aclanthology.org/2024.parlaclarin-1.14/
%P 94-100
Markdown (Informal)
[Multilingual Power and Ideology identification in the Parliament: a reference dataset and simple baselines](https://aclanthology.org/2024.parlaclarin-1.14/) (Çöltekin et al., ParlaCLARIN 2024)
ACL
- Çağrı Çöltekin, Matyáš Kopp, Meden Katja, Vaidas Morkevicius, Nikola Ljubešić, and Tomaž Erjavec. 2024. Multilingual Power and Ideology identification in the Parliament: a reference dataset and simple baselines. In Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024, pages 94–100, Torino, Italia. ELRA and ICCL.