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In relation triplet extraction (RTE), recognizing unseen relations for which there are no training instances is a challenging task.
Language models are few-shot learners
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Prompt-based text entailment for low-resource named entity recognition
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Downstream model design of pre-trained language model for relation extraction task
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Modeling relations and their mentions without labeled text
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ConceptNet 5: A Large Semantic Network for Relational Knowledge , pages 161–176. Springer Berlin Heidelberg, Berlin, Heidelberg
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Relation classification via convolutional deep neural network
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Context-aware representations for knowledge base relation extraction
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