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Published on Oct 12 · Submitted by Yang Wang on Oct 16 Abstract CalOn is a compact unified encoder that jointly performs entity, relation, and event extraction across diverse schemas by encoding text with type definitions and using shared probabilistic reasoning over combined type evidence. Information extraction models often perform well on the datasets they are trained on, but transferring to new domains and annotation guidelines remains challenging.
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