ctr4si/A-Hierarchical-Latent-Structure-for-Variational-Conversation-Modeling
PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)
This project helps developers and researchers working on conversational AI to build and test models that can generate more nuanced and contextually appropriate dialogue. It takes existing conversational datasets (like movie dialogue or chat logs) and uses them to train advanced models capable of understanding and generating human-like conversation turns. The primary users are researchers or engineers in natural language processing and dialogue system development.
172 stars. No commits in the last 6 months.
Use this if you are a researcher or developer prototyping, training, or evaluating sophisticated conversational AI models.
Not ideal if you need a pre-built chatbot or a tool for directly deploying conversational agents without custom development.
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Language
Python
License
MIT
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Last pushed
Jul 25, 2024
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