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Integrating Crowdsourcing and Active Learning for Classification of
  Work-Life Events from Tweets
v1v2 (latest)

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets

26 March 2020
Yunpeng Zhao
M. Prosperi
Tianchen Lyu
Yi Guo
Jiang Bian
ArXiv (abs)PDFHTML

Papers citing "Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets"

7 / 7 papers shown
Title
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
A Comparative Study of Neural Network Models for Sentence Classification
A Comparative Study of Neural Network Models for Sentence Classification
Hong Phuong Le
Anh-Cuong Le
18
14
0
03 Oct 2018
A Variance Maximization Criterion for Active Learning
A Variance Maximization Criterion for Active Learning
Yazhou Yang
Marco Loog
38
49
0
23 Jun 2017
Deep Learning for Hate Speech Detection in Tweets
Deep Learning for Hate Speech Detection in Tweets
Pinkesh Badjatiya
Shashank Gupta
Manish Gupta
Vasudeva Varma
92
1,139
0
01 Jun 2017
Cost-Effective Active Learning for Deep Image Classification
Cost-Effective Active Learning for Deep Image Classification
Keze Wang
Dongyu Zhang
Ya Li
Ruimao Zhang
Liang Lin
VLM
96
679
0
13 Jan 2017
Multilingual Twitter Sentiment Classification: The Role of Human
  Annotators
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
I. Mozetič
Miha Grcar
Jasmina Smailovic
46
215
0
24 Feb 2016
A meta-analysis of state-of-the-art electoral prediction from Twitter
  data
A meta-analysis of state-of-the-art electoral prediction from Twitter data
Daniel Gayo-Avello
52
315
0
25 Jun 2012
1