NLU and Information Retrieval | Stanford CS224U Natural Language Understanding | Spring 2021
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
To learn more about this course visit: https://online.stanford.edu/courses/c...
To follow along with the course schedule and syllabus visit: https://web.stanford.edu/class/cs224u/
Omar Khattab
PhD student in Computer Science at Stanford University
Professor Christopher Potts
Professor and Chair, Department of Linguistics
Professor, by courtesy, Department of Computer Science
0:00 Introduction
0:32 What is information retrieval?
1:59 Relevance - and the "Information Need"
3:14 Typical information needs vary by task
7:49 Where does NLU fit in IR?
9:51 Where does IR fit into NLU?
11:10 Retrieval supports "open-domain" NLU tasks
11:49 From standard QA to open-domain QA
12:34 Open-Domain QA: Closed-Book Approaches
13:51 Open-Domain QA: Open-Book Approaches
17:14 A few retrieval-based NLP tasks
