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T5 Base Canard
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T5 Base Canard
Developed by castorini
This model is specifically designed for training conversational question rephrasing, capable of generating coherent question rephrasing based on historical dialogues and current questions.
Downloads 229
Release Time : 3/2/2022
Model Overview
This model is based on the T5 architecture and is used to rephrase user questions in dialogue systems to make them more coherent and complete. It is mainly applied in QA systems and dialogue systems.
Model Features
Dialogue Context Understanding
Capable of understanding historical dialogue context to generate coherent question rephrasing.
T5 Architecture
Based on the Transformer's T5 architecture, suitable for text generation tasks.
Easy to Use
Provides clear training and usage guidelines for easy integration into existing systems.
Model Capabilities
Conversational Question Rephrasing
Context Understanding
Text Generation
Use Cases
QA System
Conversational QA
Rephrase user questions in QA systems to make them more complete and coherent.
Improves the accuracy and user experience of QA systems.
Dialogue System
Dialogue Management
Used in dialogue systems to manage dialogue context and generate more natural question rephrasing.
Enhances the naturalness and coherence of dialogue systems.
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