155 citations · 220 across the 5 of their papers we have counts for
5 papers · 1 filter
Cyberbullying Detection for Low-resource Languages and Dialects: Review of the State of the Art
Tanjim Mahmud, Michal Ptaszynski, Juuso Eronen +1
The struggle of social media platforms to moderate content in a timely manner, encourages users to abuse such platforms to spread vulgar or abusive language, which, when performed…
Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity
Juuso Eronen, Michal Ptaszynski, Karol Nowakowski +2
This paper investigates the impact of data volume and the use of similar languages on transfer learning in a machine translation task. We find out that having more data generally l…
Zero-shot cross-lingual transfer language selection using linguistic similarity
Juuso Eronen, Michal Ptaszynski, Fumito Masui
We study the selection of transfer languages for different Natural Language Processing tasks, specifically sentiment analysis, named entity recognition and dependency parsing. In o…
Adapting Multilingual Speech Representation Model for a New, Underresourced Language through Multilingual Fine-tuning and Continued Pretraining
Karol Nowakowski, Michal Ptaszynski, Kyoko Murasaki +1
In recent years, neural models learned through self-supervised pretraining on large scale multilingual text or speech data have exhibited promising results for underresourced langu…
Can You Fool AI by Doing a 180? $\unicode{x2013}$ A Case Study on Authorship Analysis of Texts by Arata Osada
Jagna Nieuwazny, Karol Nowakowski, Michal Ptaszynski +1
This paper is our attempt at answering a twofold question covering the areas of ethics and authorship analysis. Firstly, since the methods used for performing authorship analysis i…