no code implementations • Findings (EMNLP) 2021 • Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda
Experiments on the Twitter datasets confirm the effectiveness of our typing model and the context selector.
no code implementations • 13 Oct 2022 • Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda
The major challenge is detecting uncertain contexts of disappearing entities from noisy microblog posts.
no code implementations • 8 Jul 2019 • Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda
Keeping up to date on emerging entities that appear every day is indispensable for various applications, such as social-trend analysis and marketing research.
no code implementations • NAACL 2019 • Daisuke Oba, Naoki Yoshinaga, Shoetsu Sato, Satoshi Akasaki, Masashi Toyoda
In this study, we propose a method of modeling such personal biases in word meanings (hereafter, semantic variations) with personalized word embeddings obtained by solving a task on subjective text while regarding words used by different individuals as different words.
no code implementations • NAACL 2019 • Satoshi Akasaki, Nobuhiro Kaji
In this paper, we consider the system as a conversation initiator and propose a novel task of generating the initial utterance in open-domain non-task-oriented conversation.
no code implementations • ACL 2017 • Satoshi Akasaki, Nobuhiro Kaji
Recently emerged intelligent assistants on smartphones and home electronics (e. g., Siri and Alexa) can be seen as novel hybrids of domain-specific task-oriented spoken dialogue systems and open-domain non-task-oriented ones.