BriefGPT.xyz
Jan, 2023
概念预训练下的低资源组合语义分析
Low-Resource Compositional Semantic Parsing with Concept Pretraining
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Subendhu Rongali, Mukund Sridhar Harakere, Haidar Khan, Konstantine Arkoudas, Wael Hamza...
TL;DR
本文提出的基于 seq2seq 的模型结构,可以在零样本或少量样本的情况下,通过对新领域的元数据进行编码,自动实现领域自适应的语义解析,并通过在 Wikidata 上预训练以增强概念感知能力,从而在 TOPv2 和 SNIPS 数据集上优于以前的研究成果。
Abstract
semantic parsing
plays a key role in
digital voice assistants
such as Alexa, Siri, and Google Assistant by mapping natural language to structured meaning representations. When we want to improve the capabilities
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