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Found 10 papers, 8 papers with code
Enhancing Aspect Term Extraction with Soft Prototypes
Aspect term extraction (ATE) aims to extract aspect terms from a review sentence that users have expressed opinions on.
ToMBench: Benchmarking Theory of Mind in Large Language Models
Theory of Mind (ToM) is the cognitive capability to perceive and ascribe mental states to oneself and others.
CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models
In this paper, we present CharacterGLM, a series of models built upon ChatGLM, with model sizes ranging from 6B to 66B parameters.
Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach
Experiments verify the superiority of Supporter in achieving positive emotion elicitation during responding while maintaining conversational goals including coherence.
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
It is a challenging task since the recognition of the emotion in one utterance involves many complex factors, such as the conversational context, the speaker's background, and the subtle difference between emotion labels.
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind
To empower AI systems with the ToM ability and narrow the gap between them and humans, in this paper, we propose COKE: the first cognitive knowledge graph for machine theory of mind.
PAL: Persona-Augmented Emotional Support Conversation Generation
As previous studies have demonstrated that seekers' persona is an important factor for effective support, we investigate whether there are benefits to modeling such information in dialogue models for support.
Bridge-Based Active Domain Adaptation for Aspect Term Extraction
Existing methods solve this problem by associating aspect terms with pivot words (we call this passive domain adaptation because the transfer of aspect terms relies on the links to pivots).
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) involves three subtasks, i. e., aspect term extraction, opinion term extraction, and aspect-level sentiment classification.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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Transfer Capsule Network for Aspect Level Sentiment Classification
In this paper, we propose a Transfer Capsule Network (TransCap) model for transferring document-level knowledge to aspect-level sentiment classification.
