Question-Answering in NLP - Extractive QA and Abstractive QA

Explore the world of Question-Answering in Natural Language Processing through this comprehensive video tutorial. Dive into the crucial role of semantic search in various industries and learn how to efficiently organize and access vast amounts of language-based information. Discover different forms of QA, including Open Domain QA, and understand the components of QA stacks. Follow along as the instructor demonstrates preprocessing techniques, creating context vector databases, and implementing open-book extractive and abstractive QA methods. Gain insights into closed-book abstractive QA and its applications. By the end of this tutorial, acquire valuable skills to enhance search functionality and improve information accessibility in diverse organizational settings.

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