BriefGPT.xyz
Sep, 2022
学习自然语言定义的解耦表示
Learning Disentangled Representations for Natural Language Definitions
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Danilo S. Carvalho, Giangiacomo Mercatali, Yingji Zhang, Andre Freitas
TL;DR
使用可表征语法和语义规律的定义句类别训练变分自编码器，并在多个测试中展现其成功解耦表示效果，以及在定义建模中得到的改善。
Abstract
Disentangling the encodings of
neural models
is a fundamental aspect for improving interpretability, semantic control and downstream task performance in
natural language processing
. Currently, most
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