BriefGPT.xyz
May, 2016
利用词汇资源学习多关系数据中实体嵌入
Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data
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Teng Long, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup
TL;DR
提出了一种使用词汇资源的描述和分布式语义语料的相关信息的简单方法，以更好地初始化关系模型的训练，在 WordNet 数据集上表现出了显着的最新性能。
Abstract
Recent work in learning
vector-space embeddings
for
multi-relational data
has focused on combining relational information derived from knowledge bases with distributional information derived from large text corpo
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