The outbreak of COVID-19 has greatly impacted our daily lives.
Interest in emotion recognition in conversations (ERC) has been increasing in various fields, because it can be used to analyze user behaviors and detect fake news.
Ranked #15 on Emotion Recognition in Conversation on DailyDialog
To achieve flexible open-domain services with sign language, machine translations into sign language are needed.
Therefore, we propose a method that can consider the hierarchical structure of labels and label texts themselves.
The automatic analysis of expressions of opinion has been well studied in the opinion mining area, but a remaining problem is robustness for user-generated texts.
Automatic geolocation of microblog posts from their text content is particularly difficult because many location-indicative terms are rare terms, notably entity names such as locations, people or local organisations.
To classify Tweets in this task, this paper proposes a method to input and concatenate character and word sequences in Japanese Tweets by using convolutional neural networks.