ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.08198
  4. Cited By
UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm
  Detection Using Generative-based and Mutation-based Data Augmentation

UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation

18 April 2022
Amirhossein Abaskohi
A. Rasouli
Tanin Zeraati
B. Bahrak
ArXivPDFHTML

Papers citing "UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation"

2 / 2 papers shown
Title
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for
  Translation with Semi-Supervised Pseudo-Parallel Document Generation
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation
Alireza Salemi
Amirhossein Abaskohi
Sara Tavakoli
Yadollah Yaghoobzadeh
A. Shakery
AIMat
21
0
0
03 Apr 2023
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
251
31,267
0
16 Jan 2013
1