Findings of the Association for Computational Linguistics: EMNLP 2023 2023
DOI: 10.18653/v1/2023.findings-emnlp.1016
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MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document

Zheng Chu,
Zekun Wang,
Jiafeng Liang
et al.

Abstract: The facts and time in the document are intricately intertwined, making temporal reasoning over documents challenging. Previous work models time implicitly, making it difficult to handle such complex relationships. To address this issue, we propose MTGER, a novel Multi-view Temporal Graph Enhanced Reasoning framework for temporal reasoning over time-involved documents. Concretely, MTGER explicitly models the temporal relationships among facts by multi-view temporal graphs. On the one hand, the heterogeneous tem… Show more

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