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Benchmarking Zero-shot Text Classification: Datasets, Evaluation and
  Entailment Approach

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

31 August 2019
Wenpeng Yin
Jamaal Hay
Dan Roth
ArXivPDFHTML

Papers citing "Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach"

50 / 100 papers shown
Title
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text
  Classification
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification
Ziwen Liu
J. Grau-Bové
Scott Orr
45
1
0
27 Oct 2022
Coordinated Topic Modeling
Coordinated Topic Modeling
Pritom Saha Akash
Jie Huang
Kevin Chen-Chuan Chang
32
1
0
16 Oct 2022
PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs (Journal Version)
PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs (Journal Version)
Hao Cui
R. Trimananda
A. Markopoulou
Scott Jordan
57
17
0
13 Oct 2022
Rethinking the Event Coding Pipeline with Prompt Entailment
Rethinking the Event Coding Pipeline with Prompt Entailment
C. Lefebvre
Niklas Stoehr
32
6
0
11 Oct 2022
Community Learning: Understanding A Community Through NLP for Positive Impact
Towhid Chowdhury
Naveen Sharma
15
0
0
02 Oct 2022
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question
  Generation
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation
Xingdi Yuan
Tong Wang
Yen-Hsiang Wang
Emery Fine
Rania Abdelghani
Pauline Lucas
Hélene Sauzéon
Pierre-Yves Oudeyer
38
29
0
22 Sep 2022
Design of Negative Sampling Strategies for Distantly Supervised Skill
  Extraction
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction
Jens-Joris Decorte
Jeroen Van Hautte
Johannes Deleu
Chris Develder
Thomas Demeester
26
13
0
13 Sep 2022
Flexible Job Classification with Zero-Shot Learning
Flexible Job Classification with Zero-Shot Learning
Thom Lake
VLM
18
1
0
30 Aug 2022
Few-Shot Stance Detection via Target-Aware Prompt Distillation
Few-Shot Stance Detection via Target-Aware Prompt Distillation
Yan Jiang
Jinhua Gao
Huawei Shen
Xueqi Cheng
29
27
0
27 Jun 2022
Actuarial Applications of Natural Language Processing Using
  Transformers: Case Studies for Using Text Features in an Actuarial Context
Actuarial Applications of Natural Language Processing Using Transformers: Case Studies for Using Text Features in an Actuarial Context
Andrea Troxler
Jürg Schelldorfer
21
10
0
04 Jun 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training
Improving In-Context Few-Shot Learning via Self-Supervised Training
Mingda Chen
Jingfei Du
Ramakanth Pasunuru
Todor Mihaylov
Srini Iyer
Ves Stoyanov
Zornitsa Kozareva
SSL
AI4MH
47
64
0
03 May 2022
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot
  with Multi-Source Learning
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning
Oscar Sainz
Itziar Gonzalez-Dios
Oier López de Lacalle
Bonan Min
Eneko Agirre
36
49
0
03 May 2022
Polyglot Prompt: Multilingual Multitask PrompTraining
Polyglot Prompt: Multilingual Multitask PrompTraining
Jinlan Fu
See-Kiong Ng
Pengfei Liu
31
7
0
29 Apr 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a
  Metamorphic Testing Perspective
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
Edoardo Manino
Julia Rozanova
Danilo S. Carvalho
André Freitas
Lucas C. Cordeiro
30
7
0
26 Apr 2022
Zero and Few-shot Learning for Author Profiling
Zero and Few-shot Learning for Author Profiling
Mara Chinea-Rios
Thomas Müller
Gretel Liz De la Pena Sarracén
Francisco Rangel
Marc Franco-Salvador
31
14
0
22 Apr 2022
Few-Shot Learning with Siamese Networks and Label Tuning
Few-Shot Learning with Siamese Networks and Label Tuning
Thomas Müller
Guillermo Pérez-Torró
Marc Franco-Salvador
VLM
28
38
0
28 Mar 2022
Towards Personalized Intelligence at Scale
Towards Personalized Intelligence at Scale
Yiping Kang
Ashish Mahendra
Christopher Clarke
Lingjia Tang
Jason Mars
31
1
0
13 Mar 2022
Memory Efficient Continual Learning with Transformers
Memory Efficient Continual Learning with Transformers
Beyza Ermis
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
CLL
39
43
0
09 Mar 2022
Ultra-fine Entity Typing with Indirect Supervision from Natural Language
  Inference
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference
Bangzheng Li
Wenpeng Yin
Muhao Chen
33
29
0
12 Feb 2022
AdaPrompt: Adaptive Model Training for Prompt-based NLP
AdaPrompt: Adaptive Model Training for Prompt-based NLP
Yulong Chen
Yang Liu
Li Dong
Shuohang Wang
Chenguang Zhu
Michael Zeng
Yue Zhang
VLM
32
45
0
10 Feb 2022
Zero-Shot Aspect-Based Sentiment Analysis
Zero-Shot Aspect-Based Sentiment Analysis
Lei Shu
Hu Xu
Bing-Quan Liu
Jiahua Chen
32
14
0
04 Feb 2022
Describing Differences between Text Distributions with Natural Language
Describing Differences between Text Distributions with Natural Language
Ruiqi Zhong
Charles Burton Snell
Dan Klein
Jacob Steinhardt
VLM
134
42
0
28 Jan 2022
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive
  Survey
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey
Jiaoyan Chen
Yuxia Geng
Zhuo Chen
Jeff Z. Pan
Yuan He
Wen Zhang
Ian Horrocks
Hua-zeng Chen
35
43
0
18 Dec 2021
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
Shiming Chen
Zi-Quan Hong
Wenjin Hou
Guosen Xie
Yibing Song
Jian-jun Zhao
Xinge You
Shuicheng Yan
Ling Shao
ViT
19
44
0
16 Dec 2021
Unraveling Social Perceptions & Behaviors towards Migrants on Twitter
Unraveling Social Perceptions & Behaviors towards Migrants on Twitter
A. Khatua
Wolfgang Nejdl
35
11
0
04 Dec 2021
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
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet
Anton M. Alekseev
E. Tutubalina
Sejeong Kwon
Sergey I. Nikolenko
29
2
0
25 Nov 2021
How does a Pre-Trained Transformer Integrate Contextual Keywords?
  Application to Humanitarian Computing
How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing
Valentin Barrière
Guillaume Jacquet
19
1
0
07 Nov 2021
MotifClass: Weakly Supervised Text Classification with Higher-order
  Metadata Information
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information
Yu Zhang
Shweta Garg
Yu Meng
Xiusi Chen
Jiawei Han
45
16
0
07 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
85
1,039
0
01 Nov 2021
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy
  Labels
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels
Mohit Sharma
Rajkumar Patra
Harshali Desai
Shruti Vyas
Yogesh S Rawat
R. Shah
VGen
NoLa
24
3
0
13 Oct 2021
Weakly-supervised Text Classification Based on Keyword Graph
Weakly-supervised Text Classification Based on Keyword Graph
Lu Zhang
Jiandong Ding
Yi Xu
Yingyao Liu
Shuigeng Zhou
OffRL
OOD
44
56
0
06 Oct 2021
Learning from Language Description: Low-shot Named Entity Recognition
  via Decomposed Framework
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework
Yaqing Wang
Haoda Chu
Chao Zhang
Jing Gao
38
38
0
11 Sep 2021
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation
  Extraction
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
Manqing Dong
Chunguang Pan
Zhipeng Luo
160
41
0
09 Sep 2021
Open Aspect Target Sentiment Classification with Natural Language
  Prompts
Open Aspect Target Sentiment Classification with Natural Language Prompts
Ronald Seoh
Ian Birle
Mrinal Tak
Haw-Shiuan Chang
B. Pinette
Alfred Hough
22
61
0
08 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
40
3,600
0
03 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
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
91
3,858
0
28 Jul 2021
Evaluating Gender Bias in Natural Language Inference
Evaluating Gender Bias in Natural Language Inference
Shanya Sharma
Manan Dey
Koustuv Sinha
28
41
0
12 May 2021
Incremental Few-shot Text Classification with Multi-round New Classes:
  Formulation, Dataset and System
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Congyin Xia
Wenpeng Yin
Yihao Feng
Philip Yu
CLL
VLM
27
51
0
24 Apr 2021
Evaluating Pre-Trained Models for User Feedback Analysis in Software
  Engineering: A Study on Classification of App-Reviews
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews
M. Hadi
Fatemeh H. Fard
26
30
0
12 Apr 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on
  Dataset and Prompt Collections
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Ruiqi Zhong
Kristy Lee
Zheng-Wei Zhang
Dan Klein
41
166
0
10 Apr 2021
Learning to Generate Task-Specific Adapters from Task Description
Learning to Generate Task-Specific Adapters from Task Description
Qinyuan Ye
Xiang Ren
117
29
0
02 Jan 2021
Unsupervised Label-aware Event Trigger and Argument Classification
Unsupervised Label-aware Event Trigger and Argument Classification
Hongming Zhang
Haoyu Wang
Dan Roth
41
58
0
30 Dec 2020
Learning from Task Descriptions
Learning from Task Descriptions
Orion Weller
Nicholas Lourie
Matt Gardner
Matthew E. Peters
53
89
0
16 Nov 2020
X-Class: Text Classification with Extremely Weak Supervision
X-Class: Text Classification with Extremely Weak Supervision
Zihan Wang
Dheeraj Mekala
Jingbo Shang
18
78
0
24 Oct 2020
Text Classification Using Label Names Only: A Language Model
  Self-Training Approach
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Yu Meng
Yunyi Zhang
Jiaxin Huang
Chenyan Xiong
Heng Ji
Chao Zhang
Jiawei Han
VLM
55
75
0
14 Oct 2020
Composed Variational Natural Language Generation for Few-shot Intents
Composed Variational Natural Language Generation for Few-shot Intents
Congying Xia
Caiming Xiong
Philip Yu
R. Socher
VLM
DRL
27
31
0
21 Sep 2020
A Survey on Transfer Learning in Natural Language Processing
A Survey on Transfer Learning in Natural Language Processing
Zaid Alyafeai
Maged S. Alshaibani
Irfan Ahmad
30
72
0
31 May 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
1,591
0
21 Jan 2020
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
304
7,005
0
20 Apr 2018
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