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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"

18 / 18 papers shown
Title
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
Theo Di Piazza
129
1
0
21 Aug 2024
Large Language Models Encode Clinical Knowledge
Large Language Models Encode Clinical Knowledge
K. Singhal
Shekoofeh Azizi
T. Tu
S. S. Mahdavi
Jason W. Wei
...
A. Rajkomar
Joelle Barral
Christopher Semturs
Alan Karthikesalingam
Vivek Natarajan
LM&MAELMAI4MH
272
2,414
0
26 Dec 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
Yingce Xia
Tao Qin
Sheng Zhang
Hoifung Poon
Tie-Yan Liu
MedImAI4CELM&MA
137
854
0
19 Oct 2022
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms
Mohaddeseh Bastan
N. Shankar
Mihai Surdeanu
Niranjan Balasubramanian
73
3
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 Extraction
Yew Ken Chia
Lidong Bing
Soujanya Poria
Luo Si
76
111
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
91
62
0
10 Feb 2022
True Few-Shot Learning with Prompts -- A Real-World Perspective
True Few-Shot Learning with Prompts -- A Real-World Perspective
Timo Schick
Hinrich Schütze
VLM
113
64
0
26 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 Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
189
1,094
0
01 Nov 2021
Generating artificial texts as substitution or complement of training
  data
Generating artificial texts as substitution or complement of training data
Vincent Claveau
Antoine Chaffin
Ewa Kijak
75
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
143
333
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
117
37
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
78
38
0
28 Sep 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
246
105
0
19 Sep 2021
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event
  Causality Identification
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
Xinyu Zuo
Pengfei Cao
Yubo Chen
Kang Liu
Jun Zhao
Weihua Peng
Yuguang Chen
77
53
0
03 Jun 2021
Generating Datasets with Pretrained Language Models
Generating Datasets with Pretrained Language Models
Timo Schick
Hinrich Schütze
165
235
0
15 Apr 2021
Neural Data-to-Text Generation with LM-based Text Augmentation
Neural Data-to-Text Generation with LM-based Text Augmentation
Ernie Chang
Xiaoyu Shen
D. Zhu
Vera Demberg
Hui Su
75
46
0
06 Feb 2021
GenAug: Data Augmentation for Finetuning Text Generators
GenAug: Data Augmentation for Finetuning Text Generators
Steven Y. Feng
Varun Gangal
Dongyeop Kang
Teruko Mitamura
Eduard H. Hovy
72
73
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
60
25
0
22 Sep 2020
1