Mar 25, 2024 · In this paper, we propose Superposition Concept Discriminator (SuperCD), which resolves the above challenge via an active learning paradigm.

In this paper, we propose Superposition Concept Discriminator (SuperCD), which resolves the above challenge via an active learning paradigm. Specifically, a ...

Mar 25, 2024 · In this paper, we propose Superposition Concept Discriminator (SuperCD), which resolves the above challenge via an active learning paradigm.

少样本实体识别（FS-NER）旨在通过有限的示例识别目标类型的实体。然而，

Few-shot NER aims to identify entities with limited illustrative instances. SuperCD resolves precise generalization challenge by annotating superposition ...

Few-shot named entity recognition (NER) targets generalizing to unseen labels and/or domains with few labeled examples. 1.

Few-shot Named Entity Recognition via Superposition Concept Discrimination. Identifying and annotating critical superposition concepts improves few-shot NER ...

The objective of few-shot named entity recognition is to identify named entities with limited labeled instances. 9. 28 Aug 2023.

Few-shot Named Entity Recognition (NER) exploits only a handful of ... Few-shot Named Entity Recognition via Superposition Concept Discrimination.