nlpunibo/Question-Answering-SQUAD
Question Answering model based on DistilBERT, trained and evaluated on the SQUAD dataset
This project helps developers build a system that can read a short paragraph and answer questions about it. You provide a text passage and a question, and it extracts the exact answer directly from the passage. This is useful for developers who are creating applications that need to quickly find specific information within documents, like a chatbot for an internal knowledge base.
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Use this if you are a developer looking to integrate a robust question-answering capability into your application where answers are direct excerpts from source texts.
Not ideal if you need a system that can generate new answers based on reasoning or synthesize information from multiple sources, as this model only extracts existing text spans.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 13, 2021
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