Pythonaibrain-NLP 0.2.0 Is Now on PyPI — A Structured NLU/NLG Architecture for Python
Today I'm releasing Pythonaibrain-NLP 0.2.0 , the latest public release of my Python NLP framework. The package is now available on PyPI, and the complete source code, documentation, architecture notes, examples, and tests are available on GitHub. PyPI: https://pypi.org/project/Pythonaibrain-NLP/ GitHub: https://github.com/DivyanshuSinha136/Pythonaibrain-NLP Install it with: pip install…
Pythonaibrain-NLP 0.2.0, a structured NLU/NLG framework for Python, has been released publicly. The package can be installed using pip and is available on PyPI and GitHub. The architecture separates NLU, dialogue state, retrieval, and NLG into distinct components for easier integration into Python applications. The NLU subsystem uses joint neural architecture for intent classification and slot tagging, while the NLG system employs a Semantically-Controlled LSTM.
It maintains conversational context and uses a lightweight retrieval component for local knowledge retrieval. The framework provides APIs for NLU, NLG, and retrieval, along with training utilities, evaluation functions, examples, and tests. The release demonstrates a different engineering approach to NLP, focusing on explicit components, smaller models, and greater control over the processing pipeline.
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