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Question-Answering in NLP - Extractive QA and Abstractive QA

James Briggs via YouTube

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

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