自然语言处理有关的有10篇文章
小样本预训练——PET模型解读
# 小样本预训练——PET模型解读 开源:https://github.com/timoschick/pet ## Exploiting Cloze Questions for Few S ... [详情]
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning (2018 ACL)
# 论文解读:Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning (2018 ACL) ... [详情]
基于卷积网络的多头注意力机制实现
# 基于卷积网络的多头注意力机制实现 multi-head self-attention是来自于《Attention Is All You Need》文章。 原文的输入由memory和quer ... [详情]
论文解读:(TranSparse)Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
### 论文解读:(TranSparse)Knowledge Graph Completion with Adaptive Sparse Transfer Matrix 先前的基于深度学习的知 ... [详情]
论文解读:(TransA)TransA: An Adaptive Approach for Knowledge Graph Embedding
## 论文解读:(TransA)TransA: An Adaptive Approach for Knowledge Graph Embedding 先前的知识表示方法 ... [详情]
基于监督学习和远程监督的神经关系抽取
# 基于监督学习和远程监督的神经关系抽取 *作者:王嘉宁 QQ:851019059 Email:lygwjn@126.com* &emsp ... [详情]
论文解读:Selective Attention for Context-aware Neural Machine Translation
## 论文解读:Selective Attention for Context-aware Neural Machine Translation 当前诸多的神经机器翻译工作 ... [详情]
论文解读:DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
## 论文解读:DTMT: A Novel Deep Transition Architecture for Neural Machine Translation 本文为一 ... [详情]
基于深度学习的命名实体识别与关系抽取
# 基于深度学习的命名实体识别与关系抽取 *作者:王嘉宁 QQ:851019059 Email:lygwjn@126.com* 【备注:此博文初次编辑为2018年11月23日, ... [详情]
论文解读:Semantic Neural Machine Translation using AMR
## 论文解读:Semantic Neural Machine Translation using AMR 机器翻译主要得益于语义表征能力,为了缓解数据的稀疏性,作者提 ... [详情]