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DARE: Data Augmented Relation Extraction with GPT-2

DARE: Data Augmented Relation Extraction with GPT-2

6 April 2020
Yannis Papanikolaou
Andrea Pierleoni
ArXiv (abs)PDFHTML

Papers citing "DARE: Data Augmented Relation Extraction with GPT-2"

41 / 41 papers shown
Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation
Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation
Longzhen Yang
Zhangkai Ni
Y. Wen
Yihang Liu
Lianghua He
Heng Tao Shen
169
3
0
30 Sep 2025
WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation
WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation
Zhengyi Zhao
Shubo Zhang
Bin Liang
Binyang Li
Kam-Fai Wong
SyDa
309
1
0
31 Mar 2025
Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale
  Whole Slide Images via a Semantically Guided Medical Text Foundation Model
Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation ModelInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
J. Tan
SeungKyu Kim
Eunsu Kim
Sung Hak Lee
Sangjeong Ahn
Won-Ki Jeong
269
7
0
23 Sep 2024
Eir: Thai Medical Large Language Models
Eir: Thai Medical Large Language Models
Yutthakorn Thiprak
Rungtam Ngodngamthaweesuk
Songtam Ngodngamtaweesuk
LM&MAELM
340
0
0
13 Sep 2024
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT VolumesIEEE International Symposium on Biomedical Imaging (ISBI), 2024
Theo Di Piazza
615
9
0
21 Aug 2024
Multi-modality Regional Alignment Network for Covid X-Ray Survival
  Prediction and Report Generation
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report GenerationIEEE journal of biomedical and health informatics (IEEE JBHI), 2024
Zhusi Zhong
Jie Li
J. Sollee
Scott Collins
Harrison X. Bai
Paul J Zhang
Terrance Healey
Michael Atalay
Xinbo Gao
Zhicheng Jiao
230
6
0
23 May 2024
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language
  Models and Doc-Level Embedding
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding
Mingrui Wu
Sheng Cao
KELMRALM
244
6
0
08 Apr 2024
Edisum: Summarizing and Explaining Wikipedia Edits at Scale
Edisum: Summarizing and Explaining Wikipedia Edits at Scale
Marija Sakota
Isaac Johnson
Guosheng Feng
Robert West
SyDaKELM
202
3
0
04 Apr 2024
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning
  through Logical Fallacy Understanding
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
Yanda Li
Dixuan Wang
Jiaqing Liang
Guochao Jiang
Qi He
Yanghua Xiao
Deqing Yang
LRMELM
304
16
0
04 Apr 2024
Automated Annotation of Scientific Texts for ML-based Keyphrase
  Extraction and Validation
Automated Annotation of Scientific Texts for ML-based Keyphrase Extraction and Validation
O. Amusat
Harshad B. Hegde
Christopher J. Mungall
Anna Giannakou
Neil Byers
Dan Gunter
Kjiersten Fagnan
Lavanya Ramakrishnan
261
2
0
08 Nov 2023
Can LLMs Augment Low-Resource Reading Comprehension Datasets?
  Opportunities and Challenges
Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Vinay Samuel
Houda Aynaou
Arijit Ghosh Chowdhury
Karthik Venkat Ramanan
Vasu Sharma
SyDa
326
16
0
21 Sep 2023
I-WAS: a Data Augmentation Method with GPT-2 for Simile Detection
I-WAS: a Data Augmentation Method with GPT-2 for Simile DetectionIEEE International Conference on Document Analysis and Recognition (ICDAR), 2023
Yongzhu Chang
Rongsheng Zhang
Jiashu Pu
170
1
0
08 Aug 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction
  Tasks
GDA: Generative Data Augmentation Techniques for Relation Extraction TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Xuming Hu
Aiwei Liu
Zeqi Tan
Xin Zhang
Chenwei Zhang
Irwin King
Philip S. Yu
390
21
0
26 May 2023
Generating Faithful Synthetic Data with Large Language Models: A Case
  Study in Computational Social Science
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science
V. Veselovsky
Manoel Horta Ribeiro
Akhil Arora
Martin Josifoski
Ashton Anderson
Robert West
SyDaHILM
344
46
0
24 May 2023
Interactive and Explainable Region-guided Radiology Report Generation
Interactive and Explainable Region-guided Radiology Report GenerationComputer Vision and Pattern Recognition (CVPR), 2023
Tim Tanida
Philip Muller
Georgios Kaissis
Daniel Rueckert
MedIm
303
196
0
17 Apr 2023
Larger Probes Tell a Different Story: Extending Psycholinguistic
  Datasets Via In-Context Learning
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Namrata Shivagunde
Vladislav Lialin
Anna Rumshisky
469
4
0
29 Mar 2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and
  the Case of Information Extraction
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Martin Josifoski
Marija Sakota
Maxime Peyrard
Robert West
SyDa
375
117
0
07 Mar 2023
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Almanac: Retrieval-Augmented Language Models for Clinical MedicineResearch Square (RS), 2023
C. Zakka
Akash Chaurasia
R. Shad
Alex R. Dalal
Jennifer L. Kim
...
Kathleen Boyd
Karen Hirsch
C. Langlotz
Joanna Nelson
W. Hiesinger
LM&MA
541
241
0
01 Mar 2023
What happens before and after: Multi-Event Commonsense in Event
  Coreference Resolution
What happens before and after: Multi-Event Commonsense in Event Coreference ResolutionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Sahithya Ravi
Christy Tanner
R. Ng
Vered Shwarz
250
21
0
20 Feb 2023
Large Language Models Encode Clinical Knowledge
Large Language Models Encode Clinical KnowledgeNature (Nature), 2022
K. Singhal
Shekoofeh Azizi
T. Tu
S. S. Mahdavi
Jason W. Wei
...
A. Rajkomar
Joelle Barral
Christopher Semturs
Alan Karthikesalingam
Vivek Natarajan
LM&MAELMAI4MH
762
3,960
0
26 Dec 2022
Textual Data Augmentation for Patient Outcomes Prediction
Textual Data Augmentation for Patient Outcomes PredictionIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
Qiuhao Lu
Dejing Dou
Thien Huu Nguyen
194
19
0
13 Nov 2022
BioGPT: Generative Pre-trained Transformer for Biomedical Text
  Generation and Mining
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
Renqian Luo
Liai Sun
Ziheng Lu
Tao Qin
Sheng Zhang
Hoifung Poon
Tie-Yan Liu
MedImAI4CELM&MA
512
1,302
0
19 Oct 2022
Reweighting Strategy based on Synthetic Data Identification for Sentence
  Similarity
Reweighting Strategy based on Synthetic Data Identification for Sentence SimilarityInternational Conference on Computational Linguistics (COLING), 2022
Taehee Kim
Chaitanya Malaviya
Yiben Yang
Jared Fernandez
Edward Choi
Jaegul Choo
221
1
0
29 Aug 2022
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms
SuMe: A Dataset Towards Summarizing Biomedical MechanismsInternational Conference on Language Resources and Evaluation (LREC), 2022
Mohaddeseh Bastan
N. Shankar
Mihai Surdeanu
Niranjan Balasubramanian
201
4
0
10 May 2022
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for
  Zero-Shot Relation Triplet Extraction
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionFindings (Findings), 2022
Yew Ken Chia
Lidong Bing
Soujanya Poria
Luo Si
297
143
0
17 Mar 2022
InPars: Data Augmentation for Information Retrieval using Large Language
  Models
InPars: Data Augmentation for Information Retrieval using Large Language Models
L. Bonifacio
Hugo Queiroz Abonizio
Marzieh Fadaee
Rodrigo Nogueira
VLMRALM
514
75
0
10 Feb 2022
Improving Logical-Level Natural Language Generation with
  Topic-Conditioned Data Augmentation and Logical Form Generation
Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation
Ao Liu
Congjian Luo
Naoaki Okazaki
255
4
0
12 Dec 2021
True Few-Shot Learning with Prompts -- A Real-World Perspective
True Few-Shot Learning with Prompts -- A Real-World PerspectiveTransactions of the Association for Computational Linguistics (TACL), 2021
Timo Schick
Hinrich Schütze
VLM
218
78
0
26 Nov 2021
CubeTR: Learning to Solve The Rubiks Cube Using Transformers
Mustafa Chasmai
ViT
324
2
0
11 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing Surveys (CSUR), 2021
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
534
1,463
0
01 Nov 2021
Generating artificial texts as substitution or complement of training
  data
Generating artificial texts as substitution or complement of training dataInternational Conference on Language Resources and Evaluation (LREC), 2021
Vincent Claveau
Antoine Chaffin
Ewa Kijak
312
10
0
25 Oct 2021
Symbolic Knowledge Distillation: from General Language Models to
  Commonsense Models
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
Peter West
Chandrasekhar Bhagavatula
Jack Hessel
Jena D. Hwang
Liwei Jiang
Ronan Le Bras
Ximing Lu
Sean Welleck
Yejin Choi
SyDa
587
373
0
14 Oct 2021
Unsupervised Neural Machine Translation with Generative Language Models
  Only
Unsupervised Neural Machine Translation with Generative Language Models Only
Jesse Michael Han
Igor Babuschkin
Harrison Edwards
Arvind Neelakantan
Tao Xu
...
Alex Ray
Pranav Shyam
Aditya A. Ramesh
Alec Radford
Ilya Sutskever
320
42
0
11 Oct 2021
PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided
  MCTS Decoding
PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding
Antoine Chaffin
Vincent Claveau
Ewa Kijak
307
47
0
28 Sep 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
492
115
0
19 Sep 2021
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event
  Causality Identification
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality IdentificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Xinyu Zuo
Pengfei Cao
Yubo Chen
Kang Liu
Jun Zhao
Weihua Peng
Yuguang Chen
244
69
0
03 Jun 2021
Generating Datasets with Pretrained Language Models
Generating Datasets with Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Timo Schick
Hinrich Schütze
551
267
0
15 Apr 2021
Neural Data-to-Text Generation with LM-based Text Augmentation
Neural Data-to-Text Generation with LM-based Text AugmentationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Ernie Chang
Xiaoyu Shen
D. Zhu
Vera Demberg
Hui Su
198
46
0
06 Feb 2021
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of
  Enriched Entity and Sentence Information
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
Lei Huang
Jiecong Lin
Xiangtao Li
Linqi Song
Ka-Chun Wong
258
35
0
25 Jan 2021
GenAug: Data Augmentation for Finetuning Text Generators
GenAug: Data Augmentation for Finetuning Text GeneratorsWorkshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out (DEELIO), 2020
Steven Y. Feng
Varun Gangal
Luan Tuyen Chau
Teruko Mitamura
Eduard H. Hovy
357
76
0
05 Oct 2020
On Data Augmentation for Extreme Multi-label Classification
On Data Augmentation for Extreme Multi-label Classification
Danqing Zhang
Tao Li
Hai-Feng Zhang
Bing Yin
210
28
0
22 Sep 2020
1
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