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Convosensegenerator

Developed by sefinch
ConvoSenseGenerator is a generative model capable of producing commonsense reasoning for dialogue contexts, covering 10 common types of social commonsense.
Downloads 32
Release Time : 1/24/2024

Model Overview

Based on the T5-3b architecture, this model can generate high-quality commonsense reasoning for dialogue history, including emotional reactions, motivations, causes, subsequent events, and more.

Model Features

Multi-type commonsense reasoning
Supports 10 different types of commonsense reasoning, including emotional reactions, motivations, cause analysis, etc.
High-quality generation
Generated reasoning is rated by humans as highly plausible, with high novelty information rate and high detail level.
Diverse generation
Supports diverse outputs through beam search and diversity penalty parameters.

Model Capabilities

Dialogue context understanding
Commonsense reasoning generation
Multi-type reasoning output
Diverse result generation

Use Cases

Dialogue system enhancement
Chatbot commonsense enhancement
Adds commonsense reasoning capabilities to chatbots, making their responses more reasonable.
Improves the naturalness and plausibility of dialogues.
Social analysis
Dialogue emotion analysis
Analyzes implicit emotions and motivations in dialogues.
Deeper understanding of the psychological states of dialogue participants.
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