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HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for
  Code-Mixed Texts

HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts

23 July 2020
Aditya Srivastava
V. H. Vardhan
ArXivPDFHTML

Papers citing "HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts"

5 / 5 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
Towards Code-switched Classification Exploiting Constituent Language
  Resources
Towards Code-switched Classification Exploiting Constituent Language Resources
Tanvi Dadu
Kartikey Pant
6
9
0
03 Nov 2020
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
Parth Patwa
Gustavo Aguilar
Sudipta Kar
S. Pandey
Srinivas Pykl
Björn Gambäck
Tanmoy Chakraborty
Thamar Solorio
A. Das
VLM
31
166
0
10 Aug 2020
Towards Sub-Word Level Compositions for Sentiment Analysis of
  Hindi-English Code Mixed Text
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text
Ameya Prabhu
Aditya Joshi
Manish Shrivastava
Vasudeva Varma
26
189
0
02 Nov 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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