FraFabbri/bazingabot
Simple but effective Knowledge-bot built with Seq2Seq and LSTM
This tool helps you quickly get answers to specific questions from a large collection of factual statements. It takes a question, domain, and relation (like 'Biology' and 'SPECIALIZATION') as input and provides an accurate answer. It's designed for anyone needing to rapidly query a structured knowledge base, like researchers, educators, or information managers, to retrieve known facts.
No commits in the last 6 months.
Use this if you need to build a system that can reliably answer specific, fact-based questions from a predefined dataset.
Not ideal if you need to understand nuances in open-ended questions or generate creative, conversational responses beyond direct factual retrieval.
Stars
7
Forks
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 23, 2018
Commits (30d)
0
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