activity
20172023
most citedModeling the spread of fake news on Twitter

62 citations · 171 across the 14 of their papers we have counts for

collaborators

16 papers

cs.HC2023★ 1 cited

HeaRT: Health Record Timeliner to visualise patients' medical history from health record text

Shuntaro Yada, Eiji Aramaki

Electronic health records (EHRs), which contain patients' medical histories, tend to be written in freely formatted (unstructured) text because they are complicated by their nature…

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

JaMIE: A Pipeline Japanese Medical Information Extraction System

Fei Cheng, Shuntaro Yada, Ribeka Tanaka +2

We present an open-access natural language processing toolkit for Japanese medical information extraction. We first propose a novel relation annotation schema for investigating the…

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…