3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 3 cited
The ParlaSent Multilingual Training Dataset for Sentiment Identification in Parliamentary Proceedings
Michal Mochtak, Peter Rupnik, Nikola Ljubešić
The paper presents a new training dataset of sentences in 7 languages, manually annotated for sentiment, which are used in a series of experiments focused on training a robust sent…
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…