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Challenges and Considerations with Code-Mixed NLP for Multilingual
  Societies

Challenges and Considerations with Code-Mixed NLP for Multilingual Societies

15 June 2021
Vivek Srivastava
M. Singh
ArXivPDFHTML

Papers citing "Challenges and Considerations with Code-Mixed NLP for Multilingual Societies"

3 / 3 papers shown
Title
L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and
  BERT Language Models
L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models
Ravindra Nayak
Raviraj Joshi
25
40
0
18 Apr 2022
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive
  Content Identification in Indo-European Languages
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
Thomas Mandl
Sandip J Modha
Gautam Kishore Shahi
Prasenjit Majumder
Mohana Dave
Daksh Patel
Chintak Mandalia
Aditya Patel
91
171
0
12 Aug 2021
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 2019
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