WOAH：会话Agent Zero-shot本体学习的实现
WOAH: Preliminaries to Zero-shot Ontology Learning for Conversational Agents
Telefónica R&D（西班牙电信研发部门）；Universidad Politécnica de Madrid（马德里理工大学）
摘要：
本文提出了加权本体近似启发式（WOAH），一种新的zero-shot方法，本体估计会话代理开发环境。该方法提取动词和名词分别从数据中提取的依赖关系，并应用相似性和稀疏性度量生成一个本体估计可配置的泛化水平。
英文摘要：
The present paper presents the Weighted Ontology Approximation Heuristic (WOAH), a novel zero-shot approach to ontology estimation for conversational agents development environments. This methodology extracts verbs and nouns separately from data by distilling the dependencies obtained and applying similarity and sparsity metrics to generate an ontology estimation configurable in terms of the level of generalization.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
