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1707.08866
Cited By
Deep Residual Learning for Weakly-Supervised Relation Extraction
27 July 2017
Yunpeng Huang
William Yang Wang
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Papers citing
"Deep Residual Learning for Weakly-Supervised Relation Extraction"
21 / 21 papers shown
TTM-RE: Memory-Augmented Document-Level Relation Extraction
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Chufan Gao
Xuan Wang
Jimeng Sun
216
11
0
09 Jun 2024
A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents
Wiam Adnan
Joel Tang
Yassine Bel Khayat Zouggari
S. Laatiri
Laurent Lam
Fabien Caspani
237
3
0
16 Apr 2024
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming
Chufan Gao
Xulin Fan
Jimeng Sun
Xuan Wang
246
16
0
13 Oct 2023
How Fragile is Relation Extraction under Entity Replacements?
Conference on Computational Natural Language Learning (CoNLL), 2023
Yiwei Wang
Bryan Hooi
Fei Wang
Yujun Cai
Yuxuan Liang
Wenxuan Zhou
Jing Tang
Manjuan Duan
Muhao Chen
347
6
0
22 May 2023
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks
T. Lai
Heng Ji
ChengXiang Zhai
211
33
0
06 Sep 2021
Class-Aware Robust Adversarial Training for Object Detection
Computer Vision and Pattern Recognition (CVPR), 2021
Pin-Chun Chen
Bo-Han Kung
Jun-Cheng Chen
AAML
ObjD
314
61
0
30 Mar 2021
Multi-Task Attentive Residual Networks for Argument Mining
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2021
Andrea Galassi
Marco Lippi
Paolo Torroni
HAI
255
30
0
24 Feb 2021
On Robustness and Bias Analysis of BERT-based Relation Extraction
China Conference on Knowledge Graph and Semantic Computing (CKGSC), 2020
Luoqiu Li
Xiang Chen
Hongbin Ye
Zhen Bi
Shumin Deng
Ningyu Zhang
Huajun Chen
630
20
0
14 Sep 2020
Relation/Entity-Centric Reading Comprehension
Takeshi Onishi
127
0
0
27 Aug 2020
Neural relation extraction: a survey
Mehmet Aydar
Ozge Bozal
Furkan Özbay
NAI
164
13
0
23 Jun 2020
A scalable and efficient convolutional neural network accelerator using HLS for a System on Chip design
K. Bjerge
J. Schougaard
Daniel Ejnar Larsen
170
1
0
27 Apr 2020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
Xu Han
Tianyu Gao
Yankai Lin
Hao Peng
Yaoliang Yang
Chaojun Xiao
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
379
156
0
07 Apr 2020
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
Neurocomputing (Neurocomputing), 2020
Yan Xiao
Yaochu Jin
Ran Cheng
K. Hao
160
34
0
10 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Shaoxiong Ji
Shirui Pan
Xiaoshi Zhong
Pekka Marttinen
Philip S. Yu
1.3K
2,606
0
02 Feb 2020
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning
Frontiers in Big Data (FBD), 2019
Andrea Galassi
Kristian Kersting
Marco Lippi
Xiaoting Shao
Paolo Torroni
NAI
299
15
0
22 May 2019
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data
Jiyu Chen
Karin Verspoor
Zenan Zhai
140
3
0
24 Apr 2019
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
North American Chapter of the Association for Computational Linguistics (NAACL), 2019
Ningyu Zhang
Shumin Deng
Zhanlin Sun
Guanying Wang
Xi Chen
Wei Zhang
Huajun Chen
250
214
0
04 Mar 2019
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
Yujin Yuan
Liyuan Liu
Siliang Tang
Zhongfei Zhang
Yueting Zhuang
Shiliang Pu
Leilei Gan
Xiang Ren
179
71
0
27 Dec 2018
Combining Distant and Direct Supervision for Neural Relation Extraction
Iz Beltagy
Kyle Lo
Bridger Waleed Ammar
NoLa
239
28
0
30 Oct 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han
Hao Zhu
Pengfei Yu
Ziyun Wang
Yuan Yao
Zhiyuan Liu
Maosong Sun
SLR
289
679
0
24 Oct 2018
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Dat Quoc Nguyen
Karin Verspoor
NAI
MedIm
164
50
0
27 May 2018
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