ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.05412
  4. Cited By
OneRel:Joint Entity and Relation Extraction with One Module in One Step
v1v2 (latest)

OneRel:Joint Entity and Relation Extraction with One Module in One Step

AAAI Conference on Artificial Intelligence (AAAI), 2022
10 March 2022
Yu-Ming Shang
Heyan Huang
Xian-Ling Mao
ArXiv (abs)PDFHTML

Papers citing "OneRel:Joint Entity and Relation Extraction with One Module in One Step"

19 / 19 papers shown
Title
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
Mingchen Li
H. Kilicoglu
Hualei Xu
Rui Zhang
LM&MARALM
362
44
0
01 May 2024
RTF: Region-based Table Filling Method for Relational Triple Extraction
RTF: Region-based Table Filling Method for Relational Triple Extraction
Ning An
Lei Hei
Yong Jiang
Weiping Meng
Jingjing Hu
Boran Huang
Feiliang Ren
157
5
0
29 Apr 2024
A Bi-consolidating Model for Joint Relational Triple Extraction
A Bi-consolidating Model for Joint Relational Triple Extraction
Xiaocheng Luo
Yanping Chen
Ruixue Tang
Caiwei Yang
Ruizhang Huang
Yongbin Qin
203
4
0
05 Apr 2024
Guided Distant Supervision for Multilingual Relation Extraction Data:
  Adapting to a New Language
Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language
Alistair Plum
Tharindu Ranasinghe
Christoph Purschke
171
2
0
25 Mar 2024
IPED: An Implicit Perspective for Relational Triple Extraction based on
  Diffusion Model
IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model
Jianli Zhao
Changhao Xu
Bin Jiang
222
3
0
24 Feb 2024
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation
  Extraction
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation ExtractionAAAI Conference on Artificial Intelligence (AAAI), 2024
Urchade Zaratiana
Nadi Tomeh
Pierre Holat
Thierry Charnois
192
30
0
02 Jan 2024
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational
  Question Answering
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering
Baokui Li
Sen Zhang
Wangshu Zhang
Yicheng Chen
Changlin Yang
Sen Hu
Teng Xu
Siye Liu
Jiwei Li
140
2
0
27 Dec 2023
Benchingmaking Large Langage Models in Biomedical Triple Extraction
Benchingmaking Large Langage Models in Biomedical Triple Extraction
Mingchen Li
Huixue Zhou
Rui Zhang
330
4
0
27 Oct 2023
Controlled Randomness Improves the Performance of Transformer Models
Controlled Randomness Improves the Performance of Transformer Models
Tobias Deuβer
Cong Zhao
Wolfgang Krämer
David Leonhard
Christian Bauckhage
R. Sifa
144
2
0
20 Oct 2023
Do the Benefits of Joint Models for Relation Extraction Extend to
  Document-level Tasks?
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?International Joint Conference on Natural Language Processing (IJCNLP), 2023
Pratik Saini
Tapas Nayak
Indrajit Bhattacharya
188
0
0
01 Oct 2023
BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based
  Joint Relational Triple Extraction Framework
BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based Joint Relational Triple Extraction Framework
Luyao He
Zhongbao Zhang
Sen Su
Yuxin Chen
151
1
0
21 Sep 2023
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view
  Contrastive Learning
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Ying Mo
Jian Yang
Jiahao Liu
Qifan Wang
Ruoyu Chen
Jingang Wang
Zhoujun Li
135
36
0
17 Aug 2023
Did the Models Understand Documents? Benchmarking Models for Language
  Understanding in Document-Level Relation Extraction
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Haotian Chen
Bingsheng Chen
Xiangdong Zhou
214
8
0
20 Jun 2023
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
Adaptive Ordered Information Extraction with Deep Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Wenhao Huang
Jiaqing Liang
Zhixu Li
Yanghua Xiao
Chuanjun Ji
OffRL
158
2
0
19 Jun 2023
A Unified One-Step Solution for Aspect Sentiment Quad Prediction
A Unified One-Step Solution for Aspect Sentiment Quad PredictionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Junxian Zhou
Haiqin Yang
Yuxuan He
Hao Mou
Junbo Yang
137
15
0
07 Jun 2023
90% F1 Score in Relational Triple Extraction: Is it Real ?
90% F1 Score in Relational Triple Extraction: Is it Real ?
Pratik Saini
Samiran Pal
Tapas Nayak
Indrajit Bhattacharya
139
1
0
20 Feb 2023
PCRED: Zero-shot Relation Triplet Extraction with Potential Candidate
  Relation Selection and Entity Boundary Detection
PCRED: Zero-shot Relation Triplet Extraction with Potential Candidate Relation Selection and Entity Boundary Detection
Yuquan Lan
Dongxu Li
Yunqi Zhang
Hui Zhao
Gang Zhao
231
4
0
26 Nov 2022
UniRel: Unified Representation and Interaction for Joint Relational
  Triple Extraction
UniRel: Unified Representation and Interaction for Joint Relational Triple ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Wei Tang
Benfeng Xu
Yuyue Zhao
Zhendong Mao
Yifeng Liu
Yong Liao
Haiyong Xie
179
65
0
16 Nov 2022
Generative Knowledge Graph Construction: A Review
Generative Knowledge Graph Construction: A ReviewConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hongbin Ye
Ningyu Zhang
Hui Chen
Huajun Chen
247
92
0
23 Oct 2022
1