Harukaze

 

01 2022 档案

[论文阅读]Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction[ACL2021]
摘要:论文地址:https://aclanthology.org/2020.coling-main.341/ 代码地址: 数据集:TACRED,SemEval 本文提出了一种新的体系结构,称为动态剪枝图卷积网络(DP-GCN),该网络以端到端的方式学习通过重新思考来剪枝依赖树。在DP-GCN的每一层中,我 阅读全文

posted @ 2022-01-30 16:46 Harukaze 阅读(496) 评论(0) 推荐(0)

[论文阅读]Three Sentences Are All Y ou Need: Local Path Enhanced Document Relation Extraction
摘要:论文地址:https://arxiv.org/abs/2106.01793 代码地址:https://github.com/AndrewZhe/Three-Sentences-Are-All-You-Need 数据集:DocRED,CDR,GDA 问题:对于文档级关系抽取,给定一个实体对,需要多少句 阅读全文

posted @ 2022-01-30 12:09 Harukaze 阅读(290) 评论(0) 推荐(0)

[论文阅读]Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks[ACL2021]
摘要:论文地址:https://aclanthology.org/2021.acl-long.344/ 代码地址:https://github.com/cuhksz-nlp/RE-AGCN 依赖关系标注工具:https://stanfordnlp.github.io/CoreNLP/ ACE2005处理参 阅读全文

posted @ 2022-01-25 17:35 Harukaze 阅读(593) 评论(0) 推荐(0)

[论文阅读]UNIRE: A Unified Label Space for Entity Relation Extraction[ACL2021]
摘要:论文地址:https://aclanthology.org/2021.acl-long.19/ 代码地址:https://github.com/Receiling/UniRE 关键模型:LSTM,BERT,ALBERT,SciBERT 数据集: 作者认为实体与关系联合处理会比较好,设计了统一的标签空 阅读全文

posted @ 2022-01-23 17:15 Harukaze 阅读(463) 评论(0) 推荐(0)

导航