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1704.05579
Cited By
A Large Self-Annotated Corpus for Sarcasm
19 April 2017
M. Khodak
Nikunj Saunshi
Kiran Vodrahalli
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Papers citing
"A Large Self-Annotated Corpus for Sarcasm"
24 / 24 papers shown
Title
Assessing how hyperparameters impact Large Language Models' sarcasm detection performance
Montgomery Gole
Andriy Miranskyy
AI4MH
26
0
0
08 Apr 2025
Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilities
Gibson Nkhata Shi Yin Hong
Susan Gauch
58
0
0
05 Mar 2025
BIG-Bench Extra Hard
Mehran Kazemi
Bahare Fatemi
Hritik Bansal
John Palowitch
Chrysovalantis Anastasiou
...
Kate Olszewska
Yi Tay
Vinh Q. Tran
Quoc V. Le
Orhan Firat
ELM
LRM
122
8
0
26 Feb 2025
Federated Heavy Hitter Analytics with Local Differential Privacy
Yuemin Zhang
Qingqing Ye
Haibo Hu
FedML
97
1
0
03 Jan 2025
KoCoSa: Korean Context-aware Sarcasm Detection Dataset
Yumin Kim
Heejae Suh
Mingi Kim
Dongyeon Won
Hwanhee Lee
41
1
0
22 Feb 2024
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
Minje Choi
Jiaxin Pei
Sagar Kumar
Chang Shu
David Jurgens
ALM
LLMAG
42
70
0
24 May 2023
"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
26
1
0
06 May 2023
Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches
Daniel Fried
Nicholas Tomlin
Jennifer Hu
Roma Patel
Aida Nematzadeh
31
6
0
15 Nov 2022
ConFiguRe: Exploring Discourse-level Chinese Figures of Speech
Dawei Zhu
Qiusi Zhan
Zhejian Zhou
Yifan Song
Jiebin Zhang
Sujian Li
32
2
0
16 Sep 2022
Cyclical Curriculum Learning
Himmet Toprak Kesgin
M. Amasyalı
ODL
24
9
0
11 Feb 2022
Impact of Target Word and Context on End-to-End Metonymy Detection
Kevin Alex Mathews
Michael Strube
ObjD
32
6
0
06 Dec 2021
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions
Kailas Vodrahalli
Roxana Daneshjou
Tobias Gerstenberg
James Zou
55
68
0
14 Jul 2021
Sarcasm Detection: A Comparative Study
Hamed Yaghoobian
H. Arabnia
Khaled Rasheed
31
22
0
05 Jul 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Xu Guo
Boyang Albert Li
Han Yu
Chunyan Miao
AAML
28
17
0
19 Apr 2021
Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context
Hankyol Lee
Youngjae Yu
Gunhee Kim
33
23
0
11 Jun 2020
A Report on the 2020 Sarcasm Detection Shared Task
Debanjan Ghosh
Avijit Vajpayee
Smaranda Muresan
24
60
0
12 May 2020
A Transformer-based approach to Irony and Sarcasm detection
Rolandos Alexandros Potamias
Georgios Siolas
A. Stafylopatis
33
206
0
23 Nov 2019
iSarcasm: A Dataset of Intended Sarcasm
Silviu Vlad Oprea
Walid Magdy
23
90
0
08 Nov 2019
"President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines
Nabil Hossain
John Krumm
Michael Gamon
11
91
0
01 Jun 2019
Attentional Multi-Reading Sarcasm Detection
Reza Ghaeini
Xiaoli Z. Fern
Prasad Tadepalli
27
5
0
09 Sep 2018
Representing Social Media Users for Sarcasm Detection
Y. A. Kolchinski
Christopher Potts
27
38
0
25 Aug 2018
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
Devamanyu Hazarika
Soujanya Poria
Sruthi Gorantla
Min Zhang
Roger Zimmermann
Rada Mihalcea
37
185
0
16 May 2018
Reasoning with Sarcasm by Reading In-between
Yi Tay
Anh Tuan Luu
S. Hui
Jian Su
LRM
32
172
0
08 May 2018
"With 1 follower I must be AWESOME :P". Exploring the role of irony markers in irony recognition
Debanjan Ghosh
Smaranda Muresan
38
19
0
14 Apr 2018
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