Demo

Presenting a demo and a poster at AAAI 2024 in Vancouver, including a demo on information diffusion via community-level information pathways and a poster on improving low-resource information extraction by structure-to-text data generation with Large Language Models.

Feb 22, 2024

We present MIDDAG, an intuitive, interactive system that visualizes the information propagation paths on social media triggered by COVID-19-related news articles accompanied by comprehensive insights including user/community susceptibility level, as well as events and popular opinions raised by the crowd while propagating the information.

Feb 20, 2024

A temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument detection, event duration and temporal relation extraction.

Jan 13, 2021