A knowledge-augmented neural network model for sarcasm detection

Stance Level Sarcasm Detection with BERT and Stance-Centered Graph Attention Networks

(2022) Yazhou Zhang et al.   ACM Transactions on Internet Technology

Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks

(2022) Alireza Ghorbanali et al.   INFORMATION PROCESSING & MANAGEMENT

A hierarchical neural network model with user and product attention for deceptive reviews detection

(2022) Yafeng Ren et al.   INFORMATION SCIENCES

An ensemble of differential evolution and Adam for training feed-forward neural networks

(2022) Yu Xue et al.   INFORMATION SCIENCES

Transformer-based models for multimodal irony detection

(2022) David Tomás et al.   Journal of Ambient Intelligence and Humanized Computing

EFAFN: An Efficient Feature Adaptive Fusion Network with Facial Feature for Multimodal Sarcasm Detection

(2022) Yukuan Sun et al.   Applied Sciences-Basel

Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations

(2022) Jingjing Wang et al.   INFORMATION PROCESSING & MANAGEMENT

Document-level event causality identification via graph inference mechanism

(2021) Kun Zhao et al.   INFORMATION SCIENCES

A verb-frame frequency account of constraints on long-distance dependencies in English

(2021) Yingtong Liu et al.   COGNITION

A transformer-based approach to irony and sarcasm detection

(2020) Rolandos Alexandros Potamias et al.   NEURAL COMPUTING & APPLICATIONS

Irony detection via sentiment-based transfer learning

(2019) Shiwei Zhang et al.   INFORMATION PROCESSING & MANAGEMENT

Context-augmented convolutional neural networks for twitter sarcasm detection

(2018) Yafeng Ren et al.   NEUROCOMPUTING

A multidimensional approach for detecting irony in Twitter

(2012) Antonio Reyes et al.   Language Resources and Evaluation