2 papers
cs.CL2026
An Empirical Analysis of Factual Errors in Human-Written Text and Its Application to Factual Error Detection
Kazuma Iwamoto, Kazumasa Omura, Shotaro Ishihara
Factual Error Detection (FED), which is the task of identifying factually incorrect spans in a given text, has long been recognized as an important research problem. However, with…
cs.CL2020
A System for Worldwide COVID-19 Information Aggregation
Akiko Aizawa, Frederic Bergeron, Junjie Chen +26
The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education. Meanwhil…