Human Label Variation in Attribution and Discourse (Hlava AD) is a dataset consisting of annotated examples of inter-sentential explicit discourse relations. Each annotation involves five annotators and focuses on complex sentences that include verbs of attribution (e.g., saying, thinking) and their subsequent sentences.
If you want to learn more about the collection, please have a look at
Feel free to write to us if you have any questions: Šárka Zikánová, Jiří Mírovský, Anna Nedoluzhko
Hlava AD releases
Hlava AD 1.0 (Dec 2024) [URL]
Authors
Šárka Zikánová, Jiří Mírovský, Anna Nedoluzhko, Eva Hajičová, Šárka Dohnalová, Anna Kmječová, Eliška Nodlová, Dominik Teska
How to cite Hlava AD
If you use the data in your research or need to cite it for any reason, please cite the dataset directly:
Šárka Zikánová, Jiří Mírovský, Anna Nedoluzhko, Eva Hajičová, Šárka Dohnalová, Anna Kmječová, Eliška Nodlová and Dominik Teska: Human Label Variation in Attribution and Discourse. Data/software, ÚFAL MFF UK, Prague, Czech Republic, LINDAT/CLARIAH-CZ: http://hdl.handle.net/11234/1-5819, Dec 2024.
Acknowledgements
The development of Hlava AD was financed by the GAČR project 24-11132S.
This work has been using language resources developed, stored or distributed by the LINDAT/CLARIAH-CZ project of the Ministry of Education of the Czech Republic (project LM2023062).
Licence
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Licence.
© 2024 Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic.