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2204.05211
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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
11 April 2022
F. Toni
Christopher Akiki
Javier de la Rosa
Clémentine Fourrier
Enrique Manjavacas
Stefan Schweter
Daniel Alexander van Strien
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Papers citing
"Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0"
10 / 10 papers shown
Title
QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition
Andy T. Liu
Wei Xiao
Henghui Zhu
Dejiao Zhang
Shang-Wen Li
Andrew O. Arnold
76
26
0
03 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
355
1,709
0
15 Oct 2021
Named Entity Recognition and Classification on Historical Documents: A Survey
Maud Ehrmann
Ahmed Hamdi
Elvys Linhares Pontes
Matteo Romanello
A. Doucet
104
112
0
23 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
234
3,989
0
28 Jul 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
589
4,093
0
18 Apr 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Zexuan Zhong
Dan Friedman
Danqi Chen
50
411
0
12 Apr 2021
How Many Data Points is a Prompt Worth?
Teven Le Scao
Alexander M. Rush
VLM
164
303
0
15 Mar 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
132
974
0
15 Sep 2020
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
488
20,342
0
23 Oct 2019
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
792
132,454
0
12 Jun 2017
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