BriefGPT.xyz
Oct, 2016
词嵌入及其在句子分类任务中的应用
Word Embeddings and Their Use In Sentence Classification Tasks
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Amit Mandelbaum, Adi Shalev
TL;DR
该论文的第一部分介绍了词嵌入的必要性、创建方法、有趣的属性及其与图像嵌入的比较;第二部分实现了一个基于预训练词向量的卷积神经网络,用于几个句子级分类任务,取得了与最先进技术相当或领先的结果,说明与随机的词向量相比,预训练的词向量具有强大的能力。
Abstract
This paper have two parts. In the first part we discuss
word embeddings
. We discuss the need for them, some of the methods to create them, and some of their interesting properties. We also compare them to
image embeddin
→