English(EN) How Reliable are AMR Parser Outputs? Uncertainty Estimation for AMR Parsing

新方法估算抽象意义表示解析器的可靠性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-12 04:00

研究人员开发了一种估算抽象意义表示（AMR）解析器可靠性的新方法。该方法在黑盒设置下运行，分析来自top-k束搜索的候选输出之间的成对相似性。该研究使用预测拒绝率评估了这种不确定性估计，并描述了其与解析性能的关系。研究结果强调了不确定性估计作为评估AMR解析器的宝贵指标的效用，识别出那些在性能和可信度之间取得良好平衡的解析器。 AI

影响通过提供对其输出的置信度度量，提高了自然语言理解系统的可信度。

排序理由该集群包含一篇研究论文，详细介绍了AMR解析器不确定性估计的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Anuj Kumar, Shintaro Ozaki, Yamuna Prasad, Katsuhiko Hayashi, Hidetaka Kamigaito, Taro Watanabe · 2026-10-12 04:00

AMR解析器输出的可靠性如何？AMR解析的不确定性估计

arXiv:2610.13236v1 Announce Type: cross Abstract: Recent advances have significantly improved the performance of Abstract Meaning Representation (AMR) parsers, yet determining when their outputs can be trusted remains largely unexplored. This work presents the first study of unce…

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AMR解析器输出的可靠性如何？AMR解析的不确定性估计

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