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Jan, 2025
GLiREL -- 通用模型用于零样本关系提取
GLiREL -- Generalist Model for Zero-Shot Relation Extraction
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Jack Boylan, Chris Hokamp, Demian Gholipour Ghalandari
TL;DR
本研究解决了零样本关系分类中的效率与准确性问题。GLiREL模型通过单次前向传播有效地预测多个实体之间的关系标签，并在FewRel和WikiZSL基准测试中取得了最先进的结果。此外，我们还贡献了一个用于合成生成多样化关系标签数据集的协议。
Abstract
We introduce GLiREL (Generalist Lightweight model for
Zero-shot relation extraction
), an efficient architecture and training paradigm for zero-shot relation classification. Inspired by recent advancements in zero-shot named
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