2 citations · 5 across the 4 of their papers we have counts for
4 papers
Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis
Tiao Tan, Fengxiao Tang, Linfeng Luo +3
Leverage large language model (LLM) to refer the fault is considered to be a potential solution for intelligent network fault diagnosis. However, how to represent network informati…
UniSA: Unified Generative Framework for Sentiment Analysis
Zaijing Li, Ting-En Lin, Yuchuan Wu +4
Sentiment analysis is a crucial task that aims to understand people's emotional states and predict emotional categories based on multimodal information. It consists of several subt…
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition
Zaijing Li, Fengxiao Tang, Ming Zhao +1
Emotion recognition in conversation (ERC) aims to analyze the speaker's state and identify their emotion in the conversation. Recent works in ERC focus on context modeling but igno…
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
Zaijing Li, Fengxiao Tang, Tieyu Sun +2
For the task of conversation emotion recognition, recent works focus on speaker relationship modeling but ignore the role of utterance's emotional tendency.In this paper, we propos…