activity
20172022
most citedNAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset

24 citations · 24 across the 7 of their papers we have counts for

collaborators

10 papers

cs.HC2022

Crowdsourced Hypothesis Generation and their Verification: A Case Study on Sleep Quality Improvement

Shoko Wakamiya, Toshiki Mera, Eiji Aramaki +2

A clinical study is often necessary for exploring important research questions; however, this approach is sometimes time and money consuming. Another extreme approach, which is to…

cs.CL2022

Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Dataset

Taichi Murayama, Shohei Hisada, Makoto Uehara +2

Fake news provokes many societal problems; therefore, there has been extensive research on fake news detection tasks to counter it. Many fake news datasets were constructed as reso…

cs.CL2021

Mitigation of Diachronic Bias in Fake News Detection Dataset

Taichi Murayama, Shoko Wakamiya, Eiji Aramaki

Fake news causes significant damage to society.To deal with these fake news, several studies on building detection models and arranging datasets have been conducted. Most of the fa…

cs.LG2021

Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning

Taichi Murayama, Shoko Wakamiya, Eiji Aramaki

The accurate forecasting of infectious epidemic diseases such as influenza is a crucial task undertaken by medical institutions. Although numerous flu forecasting methods and model…

cs.CL2021

End-to-end Biomedical Entity Linking with Span-based Dictionary Matching

Shogo Ujiie, Hayate Iso, Shuntaro Yada +2

Disease name recognition and normalization, which is generally called biomedical entity linking, is a fundamental process in biomedical text mining. Recently, neural joint learning…

cs.CY2021

Influenza Surveillance using Search Engine, SNS, On-line Shopping, Q&A Service and Past Flu Patients

Taichi Murayama, Nobuyuki Shimizu, Sumio Fujita +2

Influenza, an infectious disease, causes many deaths worldwide. Predicting influenza victims during epidemics is an important task for clinical, hospital, and community outbreak pr…