BriefGPT.xyz
Mar, 2018
通用句子编码器
Universal Sentence Encoder
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Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco...
TL;DR
本研究介绍了一种生成句子嵌入向量的模型,旨在实现到其他自然语言处理任务的迁移学习,并探讨了模型复杂度、资源消耗、迁移任务训练数据可用性和任务性能之间的关系。作者发现句子嵌入迁移学习通常优于单词级别的迁移,并可以在极少量监督训练数据的情况下实现出人意料的良好表现。
Abstract
We present models for encoding sentences into embedding vectors that specifically target
transfer learning
to other
nlp tasks
. The models are efficient and result in accurate performance on diverse transfer tasks
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