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Intermediate-Task Transfer Learning with BERT for Sarcasm Detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-76153-9_28openalex-snapshot
Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/mis.2019.2904691openalex-snapshot
Sentiment and Sarcasm Classification With Multitask Learning
inferredcites →https://doi.org/10.1145/1651461.1651471openalex-snapshot
Clues for detecting irony in user-generated contents
inferredcites →https://doi.org/10.1177/2053951720972735openalex-snapshot
A qualitative analysis of sarcasm, irony and related #hashtags on Twitter
inferredcites →https://doi.org/10.1609/aaai.v30i1.9884openalex-snapshot
Predicting Readers' Sarcasm Understandability by Modeling Gaze Behavior
inferredcites →https://doi.org/10.1609/icwsm.v4i1.14018openalex-snapshot
ICWSM — A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.401openalex-snapshot
Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.467openalex-snapshot
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-demos.6openalex-snapshot
Transformers: State-of-the-Art Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/2020.nlpbt-1.3openalex-snapshot
Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.408openalex-snapshot
Perceived and Intended Sarcasm Detection with Graph Attention Networks
inferredcites →https://doi.org/10.18653/v1/d13-1066openalex-snapshot
Sarcasm as Contrast between a Positive Sentiment and Negative Situation
inferredcites →https://doi.org/10.18653/v1/d16-1104openalex-snapshot
Are Word Embedding-based Features Useful for Sarcasm Detection?
inferredcites →https://doi.org/10.18653/v1/k16-1017openalex-snapshot
Modelling Context with User Embeddings for Sarcasm Detection in Social Media
inferredcites →https://doi.org/10.18653/v1/p17-1035openalex-snapshot
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
inferredcites →https://doi.org/10.18653/v1/p17-1067openalex-snapshot
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
inferredcites →https://doi.org/10.18653/v1/p19-1239openalex-snapshot
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
inferredcites →https://doi.org/10.18653/v1/w16-0425openalex-snapshot
Fracking Sarcasm using Neural Network
inferredcites →https://doi.org/10.18653/v1/w16-3604openalex-snapshot
Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue
inferredcites →https://doi.org/10.18653/v1/w17-1902openalex-snapshot
Automated WordNet Construction Using Word Embeddings
inferredcites →https://doi.org/10.18653/v1/w18-2501openalex-snapshot
AllenNLP: A Deep Semantic Natural Language Processing Platform
inferredcites →https://doi.org/10.3115/1611528.1611529openalex-snapshot
Lexical influences on the perception of sarcasm
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/p14-2084openalex-snapshot
Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)
inferredcites →https://doi.org/10.3115/v1/p15-2124openalex-snapshot
Harnessing Context Incongruity for Sarcasm Detection
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1805.06413openalex-snapshot
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
inferredcites →https://doi.org/10.48550/arxiv.1908.02265openalex-snapshot
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
inferredcites →https://doi.org/10.48550/arxiv.2010.06671openalex-snapshot
A Multi-Modal Method for Satire Detection using Textual and Visual Cues
inferredcites →https://doi.org/10.63317/2ios4bdd5xasopenalex-snapshot
Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-47994-6_2openalex-snapshot
Intermediate Task Ensembling for Sarcasm Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-64881-6_8openalex-snapshot
Sarcasm Detection in Political Speeches Using Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-78186-5_1openalex-snapshot
Image-Text Sarcasm Detection for Enhanced Understanding
inferred← citeshttps://doi.org/10.1007/978-981-96-7545-6_11openalex-snapshot
A Comparative Analysis of Sarcasm Detection on News Headlines Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-981-97-2611-0_8openalex-snapshot
A Real-Time Framework for Automatic Sarcasm Detection Using Proposed Tensor-DNN-50 Algorithm
inferred← citeshttps://doi.org/10.1007/s00500-023-08368-6openalex-snapshot
Identifying sarcasm using heterogeneous word embeddings: a hybrid and ensemble perspective
inferred← citeshttps://doi.org/10.1007/s10791-025-09877-8openalex-snapshot
Advancing news headline sarcasm detection through hybrid neural networks
inferred← citeshttps://doi.org/10.1007/s10844-022-00755-zopenalex-snapshot
BERT-LSTM model for sarcasm detection in code-mixed social media post
inferred← citeshttps://doi.org/10.1007/s11042-023-17252-2openalex-snapshot
Image-text fusion transformer network for sarcasm detection
inferred← citeshttps://doi.org/10.1007/s13369-023-08170-4openalex-snapshot
Deep Contextualised Text Representation and Learning for Sarcasm Detection
inferred← citeshttps://doi.org/10.1007/s40264-025-01525-wopenalex-snapshot
Effectiveness of Transformer-Based Large Language Models in Identifying Adverse Drug Reaction Relations from Unstructured Discharge Summaries in Singapore
inferred← citeshttps://doi.org/10.1007/s42979-025-04557-2openalex-snapshot
Sarcasm Detection and Classification in Kannada Language Using Machine Learning Techniques on a Manually Annotated Dataset
inferred← citeshttps://doi.org/10.1007/s43621-025-01456-7openalex-snapshot
Sentiment analysis of news: unveiling AI’s role in sustainability and no poverty (SDG1)
inferred← citeshttps://doi.org/10.1007/s44443-025-00379-7openalex-snapshot
LLM-as-a-judge for sarcasm detection using supervised fine-tuning of transformers
inferred← citeshttps://doi.org/10.1016/j.asej.2024.102736openalex-snapshot
Arabic sarcasm detection: An enhanced fine-tuned language model approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121068openalex-snapshot
Sarcasm detection framework using context, emotion and sentiment features
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104169openalex-snapshot
FGVIrony: A Chinese Dataset of Fine-grained Verbal Irony
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127428openalex-snapshot
A survey of automatic sarcasm detection: Fundamental theories, formulation, datasets, detection methods, and opportunities
inferred← citeshttps://doi.org/10.1016/j.nlp.2024.100106openalex-snapshot
Initial exploration into sarcasm and irony through machine translation
inferred← citeshttps://doi.org/10.1016/j.procs.2025.01.010openalex-snapshot
SARCASAM Analysis in Social Networks Using Deep Learning Algorithm
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.233openalex-snapshot
Sarcasm Detection for Sentiment Analysis using Deep Learning Enhancement
inferred← citeshttps://doi.org/10.1038/s41598-024-65217-8openalex-snapshot
A contextual-based approach for sarcasm detection
inferred← citeshttps://doi.org/10.1049/cit2.12333openalex-snapshot
Lexicon‐based fine‐tuning of multilingual language models for low‐resource language sentiment analysis
inferred← citeshttps://doi.org/10.1051/itmconf/20257002008openalex-snapshot
Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion
inferred← citeshttps://doi.org/10.1108/idd-01-2023-0002openalex-snapshot
Sarcasm detection in online comments using machine learning
inferred← citeshttps://doi.org/10.1109/access.2024.3414431openalex-snapshot
A Parallel Dual-Channel Chinese Offensive Language Detection Method Combining BERT and CTM Topic Information
inferred← citeshttps://doi.org/10.1109/access.2024.3520659openalex-snapshot
Federated Learning for Sarcasm Detection: A Study of Attention-Enhanced BILSTM, GRU, and LSTM Architectures
inferred← citeshttps://doi.org/10.1109/acm57404.2022.00014openalex-snapshot
A Survey Paper on the Latest Techniques for Sarcasm Detection Using BG Method
inferred← citeshttps://doi.org/10.1109/ainit70033.2026.11558049openalex-snapshot
A Context-Sensitive Sarcasm Detection Framework for Chinese Social Media Based on Fine-Tuned LLMs
inferred← citeshttps://doi.org/10.1109/amlds63918.2025.11159419openalex-snapshot
Sentence Pair Classification Fine-Tuning of Bidirectional Encoding Representation from Transformer (BERT) for Aspect-Based Sentiment Analysis (ABSA) on IMDb Movie Reviews
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402099openalex-snapshot
Lightweight Approach for Multi-Modal Irony Detection by Image Caption Generation
inferred← citeshttps://doi.org/10.1109/eeiss65394.2025.11085608openalex-snapshot
Sarcasm detection using sentiment conflict recognition network
inferred← citeshttps://doi.org/10.1109/ic2ie60547.2023.10331034openalex-snapshot
Fine-Tuning Deep Learning Model for Detecting Indonesian Traffic Accident Tweet
inferred← citeshttps://doi.org/10.1109/icaace61206.2024.10548550openalex-snapshot
A BERT-Based with Fuzzy logic Sentimental Classifier for Sarcasm Detection
inferred← citeshttps://doi.org/10.1109/iccbd-ai62252.2023.00066openalex-snapshot
Exploration of Text Classification Algorithms Based on Word Vector Techniques
inferred← citeshttps://doi.org/10.1109/iccke60553.2023.10326244openalex-snapshot
BERT Transformers Multitask Learning Sarcasm and Sentiment Classification (BMSS)
inferred← citeshttps://doi.org/10.1109/iccraids67816.2026.11519738openalex-snapshot
From Twitter to Reddit: Cross-Domain Indonesian Sarcasm Detection with Pretrained Transformers
inferred← citeshttps://doi.org/10.1109/icdsca59871.2023.10392852openalex-snapshot
Incorporating text and emoticon features in sarcasm and irony detection: A deep learning-based approach
inferred← citeshttps://doi.org/10.1109/icec59683.2024.10837352openalex-snapshot
A Pragmatic Study on Various Approaches Used for Sarcasm Detection
inferred← citeshttps://doi.org/10.1109/icicit69063.2026.11634150openalex-snapshot
Deep Sarcasm: A Neural Framework for Contextual Irony Detection in Online Communication
inferred← citeshttps://doi.org/10.1109/icme55011.2023.00072openalex-snapshot
Intermediate-Task Learning with Pretrained Model for Synthesized Speech MOS Prediction
inferred← citeshttps://doi.org/10.1109/icmew63481.2024.10645364openalex-snapshot
An Enhanced Multimodal Negative Feedback Detection Framework with Target Retrieval in Thai Spoken Audio
inferred← citeshttps://doi.org/10.1109/icstsn61422.2024.10671235openalex-snapshot
Harnessing Advanced Learning for Sarcasm Detection
inferred← citeshttps://doi.org/10.1109/ictiia61827.2024.10761938openalex-snapshot
Optimizing Sarcasm Detection Through Various Input Methods in Text Data
inferred← citeshttps://doi.org/10.1109/tem.2023.3294426openalex-snapshot
Exploring Sentiment Polarity of P2P Guests Through Online User Reviews: A Multimodal Fuzzy Approach
inferred← citeshttps://doi.org/10.1109/tkde.2025.3547055openalex-snapshot
Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm Detection
inferred← citeshttps://doi.org/10.1109/upwiecon67212.2025.11390197openalex-snapshot
Sarcasm Detection in News Headlines Using DistilBERT: A Lightweight Transformer-Based Approach
inferred← citeshttps://doi.org/10.1111/exsy.70203openalex-snapshot
Toward Effective Sarcasm Detection in Social Media: A Review of Artificial Intelligence‐Based Automated Approaches
inferred← citeshttps://doi.org/10.1117/1.jei.32.5.052302openalex-snapshot
RETRACTED: Anas platyrhynchos optimizer with deep belief network-based sarcasm detection and classification model
inferred← citeshttps://doi.org/10.1145/3714469openalex-snapshot
Sarcasm Identification and Classification in Hindi Newspaper Headlines
inferred← citeshttps://doi.org/10.1145/3833411openalex-snapshot
Enhancing Text-Based Emotion Detection in Turkish and English: A Sentence-Level Enrichment Approach Using BERT and DistilBERT
inferred← citeshttps://doi.org/10.1155/2022/1653696openalex-snapshot
Multimodal Sarcasm Detection: A Deep Learning Approach
inferred← citeshttps://doi.org/10.1155/2022/5186144openalex-snapshot
The Scalable Fuzzy Inference-Based Ensemble Method for Sentiment Analysis
inferred← citeshttps://doi.org/10.11591/csit.v4i1.p43-49openalex-snapshot
Fine grained irony classification through transfer learning approach
inferred← citeshttps://doi.org/10.1177/18724981251384966openalex-snapshot
Entropy regularised multi-granular parallel attention framework: An interpretable approach for sarcasm detection
inferred← citeshttps://doi.org/10.1186/s12879-024-09428-4openalex-snapshot
A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140336openalex-snapshot
Text-based Sarcasm Detection on Social Networks: A Systematic Review
inferred← citeshttps://doi.org/10.1515/pr-2024-0056openalex-snapshot
Beyond mock politeness: sarcastic interrogatives as tools for face-threatening acts
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-srw.47openalex-snapshot
“When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity
inferred← citeshttps://doi.org/10.2139/ssrn.6485045openalex-snapshot
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inferred← citeshttps://doi.org/10.24014/ijaidm.v6i2.24239openalex-snapshot
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inferred← citeshttps://doi.org/10.31577/cai_2023_5_1091openalex-snapshot
Enhanced Deep Learning-Based Model for Sentiment Analysis to Identify Sarcasm Appeared in the News
inferred← citeshttps://doi.org/10.32604/cmc.2024.050384openalex-snapshot
Research on Sarcasm Detection Technology Based on Image-Text Fusion
inferred← citeshttps://doi.org/10.3390/app15042148openalex-snapshot
Research on Sentiment Analysis of Online Public Opinion Based on RoBERTa–BiLSTM–Attention Model
inferred← citeshttps://doi.org/10.3390/app152312498openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/computers14030095openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics12040937openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics12122673openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics13224429openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/fi15020079openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/jtaer20030185openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math10091386openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math10142481openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math10162921openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math11061400openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math11112484openalex-snapshot
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inferred← citeshttps://doi.org/10.3934/electreng.2022021openalex-snapshot
A novel algorithm for sarcasm detection using supervised machine learning approach
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