April 4, 2024, 4:48 a.m. | Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua

cs.CL updates on arXiv.org arxiv.org

arXiv:2312.01052v2 Announce Type: replace-cross
Abstract: Temporal complex event forecasting aims to predict the future events given the observed events from history. Most formulations of temporal complex event are unstructured or without extensive temporal information, resulting in inferior representations and limited forecasting capabilities. To bridge these gaps, we innovatively introduce the formulation of Structured, Complex, and Time-complete temporal event (SCTc-TE). Following this comprehensive formulation, we develop a fully automated pipeline and construct a large-scale dataset named MidEast-TE from about 0.6 million …

arxiv benchmark cs.cl cs.ir event event forecasting forecasting temporal type

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