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ORCIDPoliticalNLP@LREC 2022: Marseille, France
- Haithem Afli, Mehwish Alam, Houda Bouamor, Cristina Blasi Casagran, Colleen Boland, Sahar Ghannay:
Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences, PoliticalNLP@LREC 2022, Marseille, France, June 20-25, 2022. European Language Resources Association 2022, ISBN 979-10-95546-88-7 - Anna Tramarin, Carlo Strapparava:
NewYeS: A Corpus of New Year's Speeches with a Comparative Analysis. 1-7 - Eric Sanders, Antal van den Bosch:
Correlating Political Party Names in Tweets, Newspapers and Election Results. 8-15 - Valentin Barrière
, Alexandra Balahur, Brian Ravenet:
Debating Europe: A Multilingual Multi-Target Stance Classification Dataset of Online Debates. 16-21 - Sha Lai, Yanru Jiang, Lei Guo, Margrit Betke, Prakash Ishwar, Derry Tanti Wijaya:
An Unsupervised Approach to Discover Media Frames. 22-31 - Mateusz Baran, Mateusz Wójcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz:
Electoral Agitation Dataset: The Use Case of the Polish Election. 32-36 - Breno Dourado Sá, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo:
Enhancing Geocoding of Adjectival Toponyms With Heuristics. 37-45 - Luise Dürlich, Sebastian Reimann, Gustav Finnveden, Joakim Nivre, Sara Stymne:
Cause and Effect in Governmental Reports: Two Data Sets for Causality Detection in Swedish. 46-55 - Joanna Baran, Michal Kajstura, Maciej Ziólkowski, Krzysztof Rajda:
Does Twitter know your political views? POLiTweets dataset and semi-automatic method for political leaning discovery. 56-61 - Hadi Abdine, Yanzhu Guo, Virgile Rennard, Michalis Vazirgiannis:
Political Communities on Twitter: Case Study of the 2022 French Presidential Election. 62-71 - Suman Adhya, Debarshi Kumar Sanyal:
What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha. 72-78 - Evan Dufraisse, Célina Treuillier, Armelle Brun, Julien Tourille, Sylvain Castagnos, Adrian Popescu:
Don't Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations. 79-85 - Joanna Szwoch, Mateusz Staszkow, Rafal Rzepka, Kenji Araki:
Creation of Polish Online News Corpus for Political Polarization Studies. 86-90 - Jules Cauzinille, Marc Evrard, Nikita Kiselov, Albert Rilliard:
Annotation of expressive dimensions on a multimodal French corpus of political interviews. 91-97 - Desline Simon, Sheila Castilho, Pintu Lohar, Haithem Afli:
TransCasm: A Bilingual Corpus of Sarcastic Tweets. 98-103
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