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.
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 • 20 Jun 2023 • Masashi Takeshita, Rzepka Rafal, Kenji Araki
Moral AI has been studied in the fields of philosophy and artificial intelligence.
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 • NAACL 2019 • Hiroshi Echizen{'}ya, Kenji Araki, Eduard Hovy
We designate this metric as Word Embedding-Based automatic MT evaluation using Word Position Information (WE{\_}WPI).
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.
no code implementations • LREC 2012 • Eleanor Clark, Kenji Araki
This research focuses on text processing in the sphere of English-language social media.