Lecture 1 – NLU Course Overview | Stanford CS224U: Natural Language Understanding | Spring 2019 скачать в хорошем качестве

Lecture 1 – NLU Course Overview | Stanford CS224U: Natural Language Understanding | Spring 2019

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Goals of Natural Language Understanding include: Gain insights into human cognition Develop artificial intelligence agents as assistants or companions Solve a major subproblem of AI What is understanding? To understand a statement is to: determine the truth (with justification) calculate its entailments take appropriate action in light of it translate it into another language Professor Christopher Potts & Consulting Assistant Professor Bill MacCartney, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Potts Professor of Linguistics and, by courtesy, Computer Science Director, Stanford Center for the Study of Language and Information http://web.stanford.edu/~cgpotts/ Consulting Assistant Professor Bill MacCartney Senior Engineering Manager, Apple https://nlp.stanford.edu/~wcmac/ To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224u/ 0:00 Introduction 1:34 Goals of NLU 6:17 Technological and cognitive goals 7:57 What is understanding? 15:01 Philosophical debates 19:29 A question of fact, or a question of usage? 20:41 A brief history of NLU 25:49 How do conversational agents work? 28:04 The promise of conversational agents 29:51 The reality of conversational agents 35:26 Reminiscent of Eliza (1966) 36:39 Conversational search at Google 39:44 Application: sentiment analysis 40:39 Twitter prognostication 41:57 Hathaway vs. Hathaway 42:26 Application: automated trading 43:21 The 2008 United Airlines "bankruptcy" 45:49 The 2013 @AP Twitter hack 46:41 NLU: Traditional organization 47:30 Semantic representations 49:23 Big themes for this class 51:05 Course goals