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Stance-level Sarcasm Detection with BERT and Stance-centered Graph Attention Networks

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Smart healthcare monitoring: a voice pathology detection paradigm for smart cities
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Multilingual stance detection in social media political debates
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Sarcasm Detection using Cognitive Features of Visual Data by Learning Model
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Machine Learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection
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Context-augmented convolutional neural networks for twitter sarcasm detection
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Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis
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DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning
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MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
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A quantum-inspired multimodal sentiment analysis framework
inferredcites →https://doi.org/10.1057/9781137030825_2openalex-snapshot
Current Conceptions of Stance
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Distinguishing Sarcasm From Literal Language: Evidence From Books and Blogging
inferredcites →https://doi.org/10.1109/access.2019.2899260openalex-snapshot
Sarcasm Detection Using Soft Attention-Based Bidirectional Long Short-Term Memory Model With Convolution Network
inferredcites →https://doi.org/10.1109/access.2020.3019735openalex-snapshot
Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)
inferredcites →https://doi.org/10.1109/access.2021.3068323openalex-snapshot
Context-Based Feature Technique for Sarcasm Identification in Benchmark Datasets Using Deep Learning and BERT Model
inferredcites →https://doi.org/10.1109/jiot.2017.2772959openalex-snapshot
Emotion-Aware Connected Healthcare Big Data Towards 5G
inferredcites →https://doi.org/10.1109/jiot.2020.3011726openalex-snapshot
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach
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Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices
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Privacy-Enhanced Data Fusion for COVID-19 Applications in Intelligent Internet of Medical Things
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A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care
inferredcites →https://doi.org/10.1109/jiot.2021.3080461openalex-snapshot
Lightweight and Anonymity-Preserving User Authentication Scheme for IoT-Based Healthcare
inferredcites →https://doi.org/10.1109/jsac.2020.3020654openalex-snapshot
EEG-Based Pathology Detection for Home Health Monitoring
inferredcites →https://doi.org/10.1109/jsyst.2015.2470644openalex-snapshot
Cloud-Supported Cyber–Physical Localization Framework for Patients Monitoring
inferredcites →https://doi.org/10.1109/mis.2019.2904691openalex-snapshot
Sentiment and Sarcasm Classification With Multitask Learning
inferredcites →https://doi.org/10.1109/mmul.2021.3069097openalex-snapshot
Modeling Incongruity between Modalities for Multimodal Sarcasm Detection
inferredcites →https://doi.org/10.1109/tfuzz.2021.3072492openalex-snapshot
CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations
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Enforcing Position-Based Confidentiality With Machine Learning Paradigm Through Mobile Edge Computing in Real-Time Industrial Informatics
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A Collaborative AI-Enabled Pretrained Language Model for AIoT Domain Question Answering
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Automatic Visual Concept Learning for Social Event Understanding
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Folksonomy-Based Visual Ontology Construction and Its Applications
inferredcites →https://doi.org/10.1109/tmm.2016.2582379openalex-snapshot
Deep Relative Attributes
inferredcites →https://doi.org/10.1134/s105466182101017xopenalex-snapshot
Multi-Task Deep Neural Networks for Joint Sarcasm Detection and Sentiment Analysis
inferredcites →https://doi.org/10.1145/2659521openalex-snapshot
Social Event Classification via Boosted Multimodal Supervised Latent Dirichlet Allocation
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Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015
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Detecting Sarcasm in Multimodal Social Platforms
inferredcites →https://doi.org/10.1145/3308558.3313735openalex-snapshot
Sarcasm Detection with Self-matching Networks and Low-rank Bilinear Pooling
inferredcites →https://doi.org/10.1145/3369026openalex-snapshot
Stance Detection
inferredcites →https://doi.org/10.1145/3474085.3475190openalex-snapshot
Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs
inferredcites →https://doi.org/10.1155/2020/2860479openalex-snapshot
Multi-Rule Based Ensemble Feature Selection Model for Sarcasm Type Detection in Twitter
inferredcites →https://doi.org/10.18653/v1/2020.figlang-1.14openalex-snapshot
A Novel Hierarchical BERT Architecture for Sarcasm Detection
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.conll-1openalex-snapshot
Proceedings of the 25th Conference on Computational Natural Language Learning
inferredcites →https://doi.org/10.18653/v1/2022.naacl-mainopenalex-snapshot
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.18653/v1/2026.semeval-1openalex-snapshot
Proceedings of The 12th International Workshop on Semantic Evaluation
inferredcites →https://doi.org/10.18653/v1/d16-1084openalex-snapshot
Stance Detection with Bidirectional Conditional Encoding
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/d18-1openalex-snapshot
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d18-1140openalex-snapshot
Representing Social Media Users for Sarcasm Detection
inferredcites →https://doi.org/10.18653/v1/d19-1464openalex-snapshot
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
inferredcites →https://doi.org/10.18653/v1/d19-1549openalex-snapshot
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
inferredcites →https://doi.org/10.18653/v1/n18-1070openalex-snapshot
Automatic Stance Detection Using End-to-End Memory Networks
inferredcites →https://doi.org/10.18653/v1/p19-1openalex-snapshot
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.18653/v1/w15-2905openalex-snapshot
Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm
inferredcites →https://doi.org/10.3115/1613715openalex-snapshot
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08
inferredcites →https://doi.org/10.3115/980432openalex-snapshot
Proceedings of the 17th international conference on Computational linguistics -
inferredcites →https://doi.org/10.3115/981311openalex-snapshot
Proceedings of the 21st annual meeting on Association for Computational Linguistics -
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/e14-1openalex-snapshot
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
inferredcites →https://doi.org/10.7717/peerj-cs.645openalex-snapshot
Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Self-supervised Multimodal Stance Detection with BERT and ResNet
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Identifying Multimodal Sarcasm Based on Incongruous Knowledge Capturing and Contrastive Learning
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Analysis of Multi-model Fusion Strategies and Precision Optimization in Drug Score Prediction
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A smart video analytical framework for sarcasm detection using novel adaptive fusion network and SarcasNet-99 model
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BERT-LSTM model for sarcasm detection in code-mixed social media post
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Enhancing stance detection through sequential weighted multi-task learning
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Improving stance detection accuracy in low-resource languages: a deep learning framework with ParsBERT
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LLM-as-a-judge for sarcasm detection using supervised fine-tuning of transformers
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LSTM-TRPS: Trajectory reconstruction protection strategy based on semantic information encoding
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Enhanced quantum long short-term memory neural network based multi-task learning for sentimental analysis and cyberbullying detection
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A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations
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Sarcasm detection via incongruity-guided gated contrast-attention and contextualized-understanding network
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A review of sentiment analysis for Afaan Oromo: Current trends and future perspectives
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An Efficient Sarcasm Detection using Linguistic Features and Ensemble Machine Learning
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A multi-modal sarcasm detection model based on cue learning
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A Construction Method of Hyperbolic Representation Lexicon Oriented to Chinese Ironic Text
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A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis
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SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding
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Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation
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A Multimodal Coupled Graph Attention Network for Joint Traffic Event Detection and Sentiment Classification
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APPLIED LINGUISTICS DRIVEN LARGE LANGUAGE MODEL FOR SARCASM RECOGNITION ON SOCIAL MEDIA CORPORA
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Robust Sarcasm Detection using Artificial Rabbits Optimizer with Multilayer Convolutional Encoder-Decoder Neural Network on Social Media
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“When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity
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Investigating the Effectiveness of Graph-based Algorithm for Bangla Text Classification
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A Lightweight Deep Learning Framework using Resource-Efficient Batch Normalization for Sarcasm Detection
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Rethinking Stance Detection in NLP: A Review of Progress and Open Challenges
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Unpacking Sarcasm: A Contextual and Transformer-Based Approach for Improved Detection
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