4 accepted papers
Multimodal Emotion Recognition in Conversations (MERC) identifies utterance emotions by integrating both contextual and multimodal information from dialogue videos. Existing methods struggle to capture emotion shifts due to label replication and fail to preserve positive independent modality contrib…
Federated Learning (FL) enables collaborative training while protecting the privacy of participant data. However, typical centralized FL structures are vulnerable to malicious client attacks. To mitigate such vulnerabilities, blockchain technology has been used to develop a decentralized FL framewor…
For sentiment analysis (SA) issue, most current SA models focus on Explicit Sentiment Analysis (ESA), with less attention to Implicit Sentiment Analysis (ISA). Recent ISA models cannot fully consider prior knowledge in Pre-trained Language Model (PLM) for this knowledge intensive task, even introduc…
Text summarization aims to compress a textual document to a short summary while keeping salient information. Extractive approaches are widely used in text summarization because of their fluency and efficiency. However, most of existing extractive models hardly capture inter-sentence relationships, p…