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.
Publication
Proceedings - Workshop on Noisy User-generated Text (W-NUT 2020)
![Tomoyuki Kajiwara](/en/authors/tomoyuki-kajiwara/avatar_huc0ca4d4aebfde31e6dbe93bb16fd0945_17000352_270x270_fill_lanczos_center_3.png)
Guest Assistant Professor
Natural Language Processing. Especially: Text Simplification, Paraphrasing, Semantic Textual Similarity, Quality Estimation.
![Chenhui Chu](/en/authors/chenhui-chu/avatar_hua400fea5d8782bfc1e4686cbd803d9a0_15806357_270x270_fill_lanczos_center_3.png)
Guest Associate Professor
![Noriko Takemura](/en/authors/noriko-takemura/avatar_hu996ae61f250b1cca239f161e0fa0c584_24891_270x270_fill_q75_lanczos_center.jpg)
Guest Associate Professor
She is working on ambient intelligence and gait recognition using pattern recognition and machine learning.
![Yuta Nakashima](/en/authors/yuta-nakashima/avatar_hu25d333fcded103db2f52f7476cb1420a_78230_270x270_fill_q75_lanczos_center.jpg)
Professor
Yuta Nakashima is a professor with Institute for Datability Science, Osaka University. His research interests include computer vision, pattern recognition, natural langauge processing, and their applications.
![Hajime Nagahara](/en/authors/hajime-nagahara/avatar_huc8d8cedf74443a99c5e73ee96d17a7a6_5028372_270x270_fill_lanczos_center_3.png)
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.