IDSOU at WNUT-2020 Task 2: Identification of informative COVID-19 English tweets
Abstract
We introduce the IDSOU submission for the WNUT-2020 task 2: identification of informative COVID-19 English Tweets. Our system is an ensemble of pre-trained language models such as BERT. We ranked 16th in the F1 score.
Tomoyuki Kajiwara
Guest Assistant Professor
Natural Language Processing. Especially: Text Simplification, Paraphrasing, Semantic Textual Similarity, Quality Estimation.
Chenhui Chu
Guest Associate Professor
Noriko Takemura
Guest Associate Professor
She is working on ambient intelligence and gait recognition using pattern recognition and machine learning.
Yuta Nakashima
Associate Professor
Yuta Nakashima is an associate professor with Institute for Datability Science, Osaka University. His research interests include computer vision, pattern recognition, natural langauge processing, and their applications.
Hajime Nagahara
Professor
He is working on computer vision and pattern recognition. His main research interests lie in image/video recognition and understanding, as well as applications of natural language processing techniques.