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

19 / 19 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
37
0
0
21 Aug 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
SyDa
KELM
48
2
0
04 Apr 2024
Can LLMs Augment Low-Resource Reading Comprehension Datasets?
  Opportunities and Challenges
Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
Vinay Samuel
Houda Aynaou
Arijit Ghosh Chowdhury
Karthik Venkat Ramanan
Aman Chadha
SyDa
38
7
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 Detection
Yongzhu Chang
Rongsheng Zhang
Jiashu Pu
40
1
0
08 Aug 2023
What happens before and after: Multi-Event Commonsense in Event
  Coreference Resolution
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution
Sahithya Ravi
Christy Tanner
R. Ng
Vered Shwarz
50
16
0
20 Feb 2023
Textual Data Augmentation for Patient Outcomes Prediction
Textual Data Augmentation for Patient Outcomes Prediction
Qiuhao Lu
Dejing Dou
Thien Huu Nguyen
16
15
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
Yingce Xia
Tao Qin
Sheng Zhang
Hoifung Poon
Tie-Yan Liu
MedIm
AI4CE
LM&MA
62
790
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
32
3
0
10 May 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
27
64
0
26 Nov 2021
CubeTR: Learning to Solve The Rubiks Cube Using Transformers
Mustafa Chasmai
ViT
37
1
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 Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
83
1,039
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
36
9
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
54
323
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
52
36
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
31
36
0
28 Sep 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
190
102
0
19 Sep 2021
Generating Datasets with Pretrained Language Models
Generating Datasets with Pretrained Language Models
Timo Schick
Hinrich Schütze
24
234
0
15 Apr 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
16
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
H. Zhang
Bing Yin
22
25
0
22 Sep 2020
1