Search Results for author:
Found 4 papers, 1 papers with code
Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
In this paper, we propose the Emotional Chain-of-Thought (ECoT), a plug-and-play prompting method that enhances the performance of LLMs on various emotional generation tasks by aligning with human emotional intelligence guidelines.
UniSA: Unified Generative Framework for Sentiment Analysis
Sentiment analysis is a crucial task that aims to understand people's emotional states and predict emotional categories based on multimodal information.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition
Emotion recognition in conversation (ERC) aims to analyze the speaker's state and identify their emotion in the conversation.
Ranked #4 on
Emotion Recognition in Conversation
on IEMOCAP
Emotion Classification
Emotion Recognition in Conversation
+1
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
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 propose a new expression paradigm of sentence-level emotion orientation vector to model the potential correlation of emotions between sentence vectors.
