BriefGPT.xyz
Oct, 2022
利用 Context-to-Vector 和 Graph Retrofitting 改进词嵌入
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings
HTML
PDF
Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang...
TL;DR
通过将上下文信息与传统静态嵌入相结合,以及使用预先的同义词知识和加权向量分布来提高词嵌入的效果。
Abstract
Although
contextualized embeddings
generated from large-scale pre-trained models perform well in many tasks, traditional static embeddings (e.g.,
skip-gram
, Word2Vec) still play an important role in low-resource
→