JavaShuo
欄目
標籤
[EMNLP2017]Context-Aware Representations for Knowledge Base Relation Extraction(short paper))
時間 2021-01-07
標籤
relation
简体版
原文
原文鏈接
在上面給出的例子(1)中,任務是判斷e1和e2的關係,在進行判斷的時候,藉助了e1和e3的關係. e1和e3的關係是在判斷e1和e2之前已經識別出來.那麼又引出了一個問題:如何表示e1和e3的關係? 圖1給出的是實體e1和e2實體之間的關係判定,由下至上看此圖,輸入有兩個序列(1)句子序列 x1 , x2 , …, xn (2)實體標籤序列:標籤B- ∗ , I- ∗ , L- ∗ , O, U-
>>阅读原文<<
相關文章
1.
Context-Aware Representations for Knowledge Base Relation Extraction論文筆記
2.
Improved Neural Relation Detection for Knowledge Base Question Answering
3.
論文解讀:Improved Neural Relation Detection for Knowledge Base Question Answering
4.
Paper Reading《Relation Networks for Object Detection》
5.
Learning over Knowledge-Base Embeddings for Recommendation 論文
6.
一、 Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
7.
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering筆記
8.
【論文筆記】Enhancing Pre-Trained Language Representations with Rich Knowledge for MRC
9.
Paper--IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
10.
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
更多相關文章...
•
Swift for 循環
-
Swift 教程
•
Scala for循環
-
Scala教程
•
再有人問你分佈式事務,把這篇扔給他
•
常用的分佈式事務解決方案
相關標籤/搜索
representations
knowledge
relation
base
paper
cap+base
paper 2
Paper Record
paper 1
Paper Note
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
Mud Puddles ( bfs )
2.
ReSIProcate環境搭建
3.
SNAT(IP段)和配置網絡服務、網絡會話
4.
第8章 Linux文件類型及查找命令實踐
5.
AIO介紹(八)
6.
中年轉行互聯網,原動力、計劃、行動(中)
7.
詳解如何讓自己的網站/APP/應用支持IPV6訪問,從域名解析配置到服務器配置詳細步驟完整。
8.
PHP 5 構建系統
9.
不看後悔系列!Rocket MQ 使用排查指南(附網盤鏈接)
10.
如何簡單創建虛擬機(CentoOS 6.10)
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Context-Aware Representations for Knowledge Base Relation Extraction論文筆記
2.
Improved Neural Relation Detection for Knowledge Base Question Answering
3.
論文解讀:Improved Neural Relation Detection for Knowledge Base Question Answering
4.
Paper Reading《Relation Networks for Object Detection》
5.
Learning over Knowledge-Base Embeddings for Recommendation 論文
6.
一、 Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
7.
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering筆記
8.
【論文筆記】Enhancing Pre-Trained Language Representations with Rich Knowledge for MRC
9.
Paper--IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
10.
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
>>更多相關文章<<