Junheng Hao, Chuan Lei, et al.
KDD 2021
We present a toolkit for knowledge-based news event analysis and forecasting. The toolkit is powered by a Knowledge Graph (KG) of events curated from structured and unstructured sources of event-related knowledge. The toolkit provides functions for 1) mapping ongoing news headlines to concepts in the KG, 2) retrieval, reasoning, and visualization for causal analysis and forecasting, and 3) extraction of causal knowledge from text documents to augment the KG with additional domain knowledge. Each function has a number of implementations using state-of-the-art neuro-symbolic techniques. We show how the toolkit enables building a human-in-the-loop explainable solution for event analysis and forecasting.
Junheng Hao, Chuan Lei, et al.
KDD 2021
Bobak Pezeshki, Radu Marinescu, et al.
UAI 2022
Lei Hsiung, Yun-Yun Tsai, et al.
IJCAI 2022
James McCarthy, Rahul Nair, et al.
IJCAI 2022