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Investigating Meta-Learning Algorithms for Low-Resource Natural Language
  Understanding Tasks

Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks

27 August 2019
Zi-Yi Dou
Keyi Yu
Antonios Anastasopoulos
ArXivPDFHTML

Papers citing "Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks"

35 / 35 papers shown
Title
Valuable Hallucinations: Realizable Non-realistic Propositions
Valuable Hallucinations: Realizable Non-realistic Propositions
Qiucheng Chen
Bo Wang
LRM
59
0
0
16 Feb 2025
State Space Models for Extractive Summarization in Low Resource Scenarios
State Space Models for Extractive Summarization in Low Resource Scenarios
Nisrine Ait Khayi
40
0
0
24 Jan 2025
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
Chen Huang
Yiping Jin
Ilija Ilievski
Wenqiang Lei
Jiancheng Lv
37
3
0
20 May 2024
SPEC: Summary Preference Decomposition for Low-Resource Abstractive
  Summarization
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization
Yi-Syuan Chen
Yun-Zhu Song
Hong-Han Shuai
33
6
0
24 Mar 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in
  Meta-Learning with PAC-Bayes
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou
Pierre Alquier
Badr-Eddine Chérief-Abdellatif
55
8
0
23 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin
Q. Li
Ruochen Zhao
Chenyu You
VLM
LRM
23
15
0
16 Feb 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code
  Models
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
Changan Niu
Chuanyi Li
Vincent Ng
Bin Luo
ELM
ALM
34
9
0
08 Feb 2023
Disentangling Task Relations for Few-shot Text Classification via
  Self-Supervised Hierarchical Task Clustering
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering
Juan Zha
Zheng Li
Ying Wei
Yu Zhang
31
5
0
16 Nov 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Avyav Kumar Singh
Ekaterina Shutova
H. Yannakoudakis
VLM
33
0
0
31 Oct 2022
Leveraging Open Data and Task Augmentation to Automated Behavioral
  Coding of Psychotherapy Conversations in Low-Resource Scenarios
Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios
Zhuohao Chen
Nikolaos Flemotomos
Zac E. Imel
David C. Atkins
Shrikanth Narayanan
18
4
0
25 Oct 2022
$m^4Adapter$: Multilingual Multi-Domain Adaptation for Machine
  Translation with a Meta-Adapter
m4Adapterm^4Adapterm4Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter
Wen Lai
Alexandra Chronopoulou
Alexander Fraser
29
3
0
21 Oct 2022
Continued Pretraining for Better Zero- and Few-Shot Promptability
Continued Pretraining for Better Zero- and Few-Shot Promptability
Zhaofeng Wu
IV RobertL.Logan
Pete Walsh
Akshita Bhagia
Dirk Groeneveld
Sameer Singh
Iz Beltagy
VLM
44
12
0
19 Oct 2022
On the cross-lingual transferability of multilingual prototypical models
  across NLU tasks
On the cross-lingual transferability of multilingual prototypical models across NLU tasks
Oralie Cattan
Christophe Servan
S. Rosset
27
9
0
19 Jul 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning
Learning a Better Initialization for Soft Prompts via Meta-Learning
Yukun Huang
Kun Qian
Zhou Yu
VLM
58
9
0
25 May 2022
Persian Natural Language Inference: A Meta-learning approach
Persian Natural Language Inference: A Meta-learning approach
Heydar Soudani
Mohammadreza Mojab
H. Beigy
32
1
0
18 May 2022
Improving Both Domain Robustness and Domain Adaptability in Machine
  Translation
Improving Both Domain Robustness and Domain Adaptability in Machine Translation
Wen Lai
Jindrich Libovický
Alexander Fraser
AI4CE
35
13
0
15 Dec 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language
  Understanding
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding
Qianying Liu
Fei Cheng
Sadao Kurohashi
14
1
0
10 Nov 2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Subhabrata Mukherjee
Xiaodong Liu
Guoqing Zheng
Saghar Hosseini
Hao Cheng
Greg Yang
Christopher Meek
Ahmed Hassan Awadallah
Jianfeng Gao
ELM
33
11
0
04 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Trapit Bansal
K. Gunasekaran
Tong Wang
Tsendsuren Munkhdalai
Andrew McCallum
SSL
OOD
51
19
0
02 Nov 2021
Controllable Semantic Parsing via Retrieval Augmentation
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
132
47
0
16 Oct 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
205
104
0
15 Jul 2021
Meta-Learning with Variational Semantic Memory for Word Sense
  Disambiguation
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
Yingjun Du
Nithin Holla
Xiantong Zhen
Cees G. M. Snoek
Ekaterina Shutova
33
9
0
05 Jun 2021
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent
  detection meta-learning
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning
Thomas Dopierre
Christophe Gravier
Wilfried Logerais
22
32
0
27 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
223
180
0
18 Apr 2021
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Yi-Syuan Chen
Hong-Han Shuai
CLL
OffRL
48
38
0
18 Feb 2021
Meta-Learning for Effective Multi-task and Multilingual Modelling
Meta-Learning for Effective Multi-task and Multilingual Modelling
Ishan Tarunesh
Sushil Khyalia
Vishwajeet Kumar
Ganesh Ramakrishnan
P. Jyothi
39
16
0
25 Jan 2021
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue
  Generation
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Shuai Lin
Pan Zhou
Xiaodan Liang
Jianheng Tang
Ruihui Zhao
Ziliang Chen
Liang Lin
MedIm
33
53
0
22 Dec 2020
Unsupervised Neural Machine Translation for Low-Resource Domains via
  Meta-Learning
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
Cheonbok Park
Yunwon Tae
Taehee Kim
Soyoung Yang
Mohammad Azam Khan
Lucy Park
Jaegul Choo
102
17
0
18 Oct 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic
  Parsing
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
Xilun Chen
Asish Ghoshal
Yashar Mehdad
Luke Zettlemoyer
S. Gupta
39
89
0
07 Oct 2020
Improving Generalization in Meta-learning via Task Augmentation
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Z. Li
50
81
0
26 Jul 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense
  Disambiguation
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
32
28
0
29 Apr 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
258
1,589
0
21 Jan 2020
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,984
0
20 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
383
11,700
0
09 Mar 2017
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