Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Paweł Dybała"'
Autor:
Paweł Dybała
Publikováno v:
Między Oryginałem a Przekładem, Vol 28, Iss 4(58) (2022)
GENDER AMBIGUITY IN CHARACTERS’ STATEMENTS IN JAPANESE MANGA COMICS AND THEIR POLISH TRANSLATIONS The aim of this paper is to analyze how creators of Japanese manga comics utilize the fact that Japanese language lacks the grammatical category of
Externí odkaz:
https://doaj.org/article/3c89fb1ca395488f85e1fd32ce9b6bb1
Autor:
Paweł Dybała
Publikováno v:
Relacje Międzykulturowe, Vol 4, Iss 2(8) (2020)
The purpose of this paper is to investigate how the knowledge of fan-made translations (scanlations) of Japanese comics (manga) influence the perception of official translations of volumes published in Poland. An analysis is performed on readers’ c
Externí odkaz:
https://doaj.org/article/4371c7e0576a4b1b9f995765182cc0ce
Autor:
Łukasz Kobyliński, Maciej Ogrodniczuk, Jan Kocoń, Michał Marcińczuk, Aleksander Smywiński-Pohl, Krzysztof Wołk, Danijel Koržinek, Michal Ptaszynski, Agata Pieciukiewicz, Paweł Dybała
Publikováno v:
Human Language Technology. Challenges for Computer Science and Linguistics ISBN: 9783031053276
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cc4b1cd64d61097598b345b85fd5e92
https://doi.org/10.1007/978-3-031-05328-3_20
https://doi.org/10.1007/978-3-031-05328-3_20
Autor:
Aleksander Smywiński-Pohl, Łukasz Kobyliński, Maciej Ogrodniczuk, Jan Kocoń, Michał Marcińczuk, Krzysztof Wołk, Danijel Koržinek, Michal Ptaszynski, Agata Pieciukiewicz, Paweł Dybała
Publikováno v:
BPP_AGH
PolEval is a SemEval-inspired evaluation campaign for natural language processing tools for Polish. Submitted tools compete againstone another within certain tasks selected by organizers, using available data and are evaluated according to pre-establ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::af9af116d366ec8637060208cd4db919
https://ruj.uj.edu.pl/xmlui/handle/item/152263
https://ruj.uj.edu.pl/xmlui/handle/item/152263
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5912 (2024)
The rapid advancement of artificial intelligence (AI) and natural language processing (NLP) has profoundly impacted our understanding of emotions, decision-making, and opinions, particularly within the context of the Internet and social media [...]
Externí odkaz:
https://doaj.org/article/69bca73c36294b07a63a5fe6033bd70c
Autor:
Lu Wang, Sho Isomura, Michal Ptaszynski, Pawel Dybala, Yuki Urabe, Rafal Rzepka, Fumito Masui
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4439 (2024)
Wide adoption of social media has caused an explosion of information stored online, with the majority of that information containing subjective, opinionated, and emotional content produced daily by users. The field of emotion analysis has helped effe
Externí odkaz:
https://doaj.org/article/d0819dd7bc26421daaa421f272a927dc
Autor:
Jan Kocoń, Maciej Piasecki, Paweł Dybała, Monika Zaśko-Zielińska, Michał Ptaszyński, Fumito Masui, Arkadiusz Janz
Publikováno v:
National Information Processing Institute
In this paper we present our attempts in the PolEval 2017 Sentiment Analysis Task. The task is not only one of the first challenges in sentiment analysis focused on Polish language, but also represents a novel approach to sentiment analysis, namely,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a0ddfdc830375aea856e23462e3b11fb
https://ruj.uj.edu.pl/xmlui/handle/item/57027
https://ruj.uj.edu.pl/xmlui/handle/item/57027
Autor:
Michal Ptaszynski, Agata Pieciukiewicz, Pawel Dybala, Pawel Skrzek, Kamil Soliwoda, Marcin Fortuna, Gniewosz Leliwa, Michal Wroczynski
Publikováno v:
Data, Vol 9, Iss 1, p 1 (2023)
We introduce the first dataset of harmful and offensive language collected from the Polish Internet. This dataset was meticulously curated to facilitate the exploration of harmful online phenomena such as cyberbullying and hate speech, which have exh
Externí odkaz:
https://doaj.org/article/30fdfca892b347fbb880f57a13ed1b5f
Publikováno v:
Journal of Open Research Software, Vol 5, Iss 1 (2017)
We present ML-Ask – the first Open Source Affect Analysis system for textual input in Japanese. ML-Ask analyses the contents of an input (e.g., a sentence) and annotates it with information regarding the contained general emotive expressions, speci
Externí odkaz:
https://doaj.org/article/0b24d8ca26d846e3bffa962747205837