allenai/deep_qa
A Keras/TensorFlow-based deep learning library for NLP tasks with a focus on question answering systems.
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DeepQA is a deep learning library for natural language processing built on top of Keras and TensorFlow. It provides high-level abstractions for NLP modeling, including text encoding, word/character embeddings, attention mechanisms, and sequence padding utilities. The library is specifically designed to make question answering tasks easier to implement while remaining useful for broader NLP applications. The project is now deprecated in favor of AllenNLP, the team’s PyTorch-based successor.
Frequently asked
- What is allenai/deep_qa?
- A Keras/TensorFlow-based deep learning library for NLP tasks with a focus on question answering systems.
- Is deep_qa open source?
- Yes — allenai/deep_qa is open source, released under the Apache-2.0 license.
- What language is deep_qa written in?
- allenai/deep_qa is primarily written in Python.
- How popular is deep_qa?
- allenai/deep_qa has 403 stars on GitHub.
- Where can I find deep_qa?
- allenai/deep_qa is on GitHub at https://github.com/allenai/deep_qa.