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A Transformer-based approach to Irony and Sarcasm detection

A Transformer-based approach to Irony and Sarcasm detection

23 November 2019
Rolandos Alexandros Potamias
Georgios Siolas
A. Stafylopatis
ArXivPDFHTML

Papers citing "A Transformer-based approach to Irony and Sarcasm detection"

6 / 6 papers shown
Title
Assessing how hyperparameters impact Large Language Models' sarcasm detection performance
Assessing how hyperparameters impact Large Language Models' sarcasm detection performance
Montgomery Gole
Andriy Miranskyy
AI4MH
21
0
0
08 Apr 2025
Irony Detection, Reasoning and Understanding in Zero-shot Learning
Irony Detection, Reasoning and Understanding in Zero-shot Learning
Peiling Yi
Yuhan Xia
54
0
0
28 Jan 2025
A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm,
  Sentiment and Emotion Analysis
A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis
Yaochen Liu
Yazhou Zhang
Dawei Song
11
8
0
06 Jun 2023
"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with
  Emoji Using Valence Reversal and Semantic Incongruity
"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruity
Faria Binte Kader
Nafisa Hossain Nujat
Tasmia Binte Sogir
Mohsinul Kabir
H. Mahmud
Md. Kamrul Hasan
10
1
0
06 May 2023
Sarcasm Detection: A Comparative Study
Sarcasm Detection: A Comparative Study
Hamed Yaghoobian
H. Arabnia
Khaled Rasheed
23
22
0
05 Jul 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
1