no code implementations • RANLP 2021 • Hiyori Yoshikawa, Tomoya Iwakura, Kimi Kaneko, Hiroaki Yoshida, Yasutaka Kumano, Kazutaka Shimada, Rafal Rzepka, Patrycja Swieczkowska
To address the issue, we propose a method to estimate the domain expertise of each annotator before the annotation process using information easily available from the annotators beforehand.
no code implementations • GeBNLP (COLING) 2020 • Masashi Takeshita, Yuki Katsumata, Rafal Rzepka, Kenji Araki
Additionally, we examine whether these methods can be used for Japanese.
no code implementations • PoliticalNLP (LREC) 2022 • Joanna Szwoch, Mateusz Staszkow, Rafal Rzepka, Kenji Araki
In the future we would like to expand this dataset with articles coming from other online news providers, repeat the classification task on a bigger scale, utilizing other algorithms.
1 code implementation • 10 Mar 2022 • Masashi Takeshita, Rafal Rzepka, Kenji Araki
Various existing studies have analyzed what social biases are inherited by NLP models.
no code implementations • 4 Mar 2022 • Michal Ptaszynski, Pawel Dybala, Tatsuaki Matsuba, Fumito Masui, Rafal Rzepka, Kenji Araki, Yoshio Momouchi
Firstly, we analysed the entries with a multifaceted affect analysis system in order to find distinctive features for cyber-bullying and apply them to a machine learning classifier.
no code implementations • 22 Oct 2020 • Daiki Shirafuji, Hiromichi Kameya, Rafal Rzepka, Kenji Araki
There are many discussions held during political meetings, and a large number of utterances for various topics is included in their transcripts.
no code implementations • WS 2016 • Seiya Shudo, Rafal Rzepka, Kenji Araki
In this paper we present two methods for automatic common sense knowledge evaluation for Japanese entries in ConceptNet ontology.