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cs.CL2022★ 3 cited
The ParlaSent-BCS dataset of sentiment-annotated parliamentary debates from Bosnia-Herzegovina, Croatia, and Serbia
Michal Mochtak, Peter Rupnik, Nikola Ljubešič
Expression of sentiment in parliamentary debates is deemed to be significantly different from that on social media or in product reviews. This paper adds to an emerging body of res…
cs.CL2022
The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild
Taja Kuzman, Peter Rupnik, Nikola Ljubešić
This paper presents a new training dataset for automatic genre identification GINCO, which is based on 1,125 crawled Slovenian web documents that consist of 650 thousand words. Eac…