Author of the publication

The ParlaSent multilingual training dataset for sentiment identification in parliamentary proceedings.

, , and . CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild., , and . LREC, page 1584-1594. European Language Resources Association, (2022)The ParlaSent-BCS dataset of sentiment-annotated parliamentary debates from Bosnia-Herzegovina, Croatia, and Serbia., , and . CoRR, (2022)MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages., , , , , , , , , and 4 other author(s). EAMT, page 301-302. European Association for Machine Translation, (2022)Improving Effectiveness of a Coaching System Through Preference Learning., , , and . PETRA, page 459-465. ACM, (2021)The ParlaSent multilingual training dataset for sentiment identification in parliamentary proceedings., , and . CoRR, (2023)Get to Know Your Parallel Data: Performing English Variety and Genre Classification over MaCoCu Corpora., , and . VarDial@EACL, page 91-103. Association for Computational Linguistics, (2023)The ParlaSent Multilingual Training Dataset for Sentiment Identification in Parliamentary Proceedings., , and . LREC/COLING, page 16024-16036. ELRA and ICCL, (2024)BENCHić-lang: A Benchmark for Discriminating between Bosnian, Croatian, Montenegrin and Serbian., , and . VarDial@EACL, page 113-120. Association for Computational Linguistics, (2023)MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages., , , , , , , , , and 4 other author(s). EAMT, page 505-506. European Association for Machine Translation, (2023)Do Language Models Care about Text Quality? Evaluating Web-Crawled Corpora across 11 Languages., , , , , , and . LREC/COLING, page 5221-5234. ELRA and ICCL, (2024)