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Overview
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This course introduces open-domain natural-language question answering as semantic search. It demonstrates extractive and abstractive QA pipelines, including SQuAD preprocessing, context vectors, vector-database retrieval, and open-book versus closed-book generation.
Syllabus
Meaningful Search
Use-case
Open Domain QA ODQA
SQuAD Format
Quick Preprocessing
Creating Context Vectors Database
Open-book Extractive QA
Open-book Abstractive QA
Closed-book Abstractive QA
Final Thoughts
Taught by
James Briggs