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UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social
  Media Texts using Transformers and Multi-Task Learning

UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning

6 September 2020
George-Eduard Zaharia
G. Vlad
Dumitru-Clementin Cercel
Traian Rebedea
Costin-Gabriel Chiru
ArXivPDFHTML

Papers citing "UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning"

3 / 3 papers shown
Title
The Decades Progress on Code-Switching Research in NLP: A Systematic
  Survey on Trends and Challenges
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges
Genta Indra Winata
Alham Fikri Aji
Zheng-Xin Yong
Thamar Solorio
37
33
0
19 Dec 2022
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
297
6,950
0
20 Apr 2018
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
169
1,635
0
11 Oct 2017
1