Papers by Saifei Liao

1 papers
ConTempo: A Unified Temporally Contrastive Framework for Temporal Relation Extraction (2024.findings-acl)

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Challenge: Temporal relation extraction (TRE) is a task of classifying temporal relations between events conveyed in narratives.
Approach: They propose a Temporally Contrastive learning model that increases the model’s awareness of the meaning of temporal relations by leveraging their symmetric or antisymmetric properties.
Outcome: The proposed model improves the model's representation of meaning of temporal relations and its ability to integrate with the underlying temporal calculus.

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