ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.03659
  4. Cited By
Label Verbalization and Entailment for Effective Zero- and Few-Shot
  Relation Extraction

Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction

8 September 2021
Oscar Sainz
Oier López de Lacalle
Gorka Labaka
Ander Barrena
Eneko Agirre
ArXiv (abs)PDFHTML

Papers citing "Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction"

31 / 31 papers shown
Title
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering
Jan Hofmann
Cornelia Sindermann
Roman Klinger
109
0
0
06 Sep 2024
Entailment as Few-Shot Learner
Entailment as Few-Shot Learner
Sinong Wang
Han Fang
Madian Khabsa
Hanzi Mao
Hao Ma
73
184
0
29 Apr 2021
Re-TACRED: Addressing Shortcomings of the TACRED Dataset
Re-TACRED: Addressing Shortcomings of the TACRED Dataset
George Stoica
Emmanouil Antonios Platanios
Barnabas Poczos
80
116
0
16 Apr 2021
Document-Level Event Argument Extraction by Conditional Generation
Document-Level Event Argument Extraction by Conditional Generation
Sha Li
Heng Ji
Jiawei Han
65
301
0
13 Apr 2021
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute
  Representation Learning
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning
Chih-Yao Chen
Cheng-Te Li
50
97
0
10 Apr 2021
Improving and Simplifying Pattern Exploiting Training
Improving and Simplifying Pattern Exploiting Training
Derek Tam
Rakesh R Menon
Joey Tianyi Zhou
Shashank Srivastava
Colin Raffel
74
151
0
22 Mar 2021
How Many Data Points is a Prompt Worth?
How Many Data Points is a Prompt Worth?
Teven Le Scao
Alexander M. Rush
VLM
155
302
0
15 Mar 2021
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language
  Models
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
Oscar Sainz
German Rigau
VLM
50
22
0
07 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
399
1,971
0
31 Dec 2020
Unsupervised Relation Extraction from Language Models using Constrained
  Cloze Completion
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion
Ankur Goswami
Akshata Bhat
Hadar Ohana
Theodoros Rekatsinas
ReLM
41
17
0
14 Oct 2020
Universal Natural Language Processing with Limited Annotations: Try
  Few-shot Textual Entailment as a Start
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
Wenpeng Yin
Nazneen Rajani
Dragomir R. Radev
R. Socher
Caiming Xiong
71
69
0
06 Oct 2020
LUKE: Deep Contextualized Entity Representations with Entity-aware
  Self-attention
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Ikuya Yamada
Akari Asai
Hiroyuki Shindo
Hideaki Takeda
Yuji Matsumoto
98
670
0
02 Oct 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
130
974
0
15 Sep 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
161
2,747
0
05 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
835
42,332
0
28 May 2020
TACRED Revisited: A Thorough Evaluation of the TACRED Relation
  Extraction Task
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Christoph Alt
Aleksandra Gabryszak
Leonhard Hennig
112
157
0
30 Apr 2020
Event Extraction by Answering (Almost) Natural Questions
Event Extraction by Answering (Almost) Natural Questions
Xinya Du
Claire Cardie
58
415
0
28 Apr 2020
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang
Duyu Tang
Nan Duan
Zhongyu Wei
Xuanjing Huang
Jianshu Ji
Guihong Cao
Daxin Jiang
Ming Zhou
KELM
116
555
0
05 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
348
1,617
0
21 Jan 2020
Zero-shot Text Classification With Generative Language Models
Zero-shot Text Classification With Generative Language Models
Raul Puri
Bryan Catanzaro
VLM
79
105
0
10 Dec 2019
Unsupervised Cross-lingual Representation Learning at Scale
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau
Kartikay Khandelwal
Naman Goyal
Vishrav Chaudhary
Guillaume Wenzek
Francisco Guzmán
Edouard Grave
Myle Ott
Luke Zettlemoyer
Veselin Stoyanov
226
6,585
0
05 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMatVLM
263
10,848
0
29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
450
20,298
0
23 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSLAIMat
371
6,463
0
26 Sep 2019
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and
  Entailment Approach
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Wenpeng Yin
Jamaal Hay
Dan Roth
166
548
0
31 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
671
24,528
0
26 Jul 2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi
Danqi Chen
Yinhan Liu
Daniel S. Weld
Luke Zettlemoyer
Omer Levy
147
1,967
0
24 Jul 2019
FewRel: A Large-Scale Supervised Few-Shot Relation Classification
  Dataset with State-of-the-Art Evaluation
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
66
610
0
24 Oct 2018
Zero-Shot Relation Extraction via Reading Comprehension
Zero-Shot Relation Extraction via Reading Comprehension
Omer Levy
Minjoon Seo
Eunsol Choi
Luke Zettlemoyer
ReLM
73
697
0
13 Jun 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
524
4,492
0
18 Apr 2017
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
321
4,293
0
21 Aug 2015
1