Towards Large-Scale Natural Language Inference with Distributional Semantics
Center for Language & Speech Processing(CLSP), JHU via YouTube
Get 20% off all career paths from fullstack to AI
AI, Data Science & Business Certificates from Google, IBM & Microsoft
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Watch this 50-minute research lecture exploring the development of large-scale natural language inference systems using distributional semantic methods, presented by Jackie CK Cheung from Johns Hopkins University's Center for Language & Speech Processing, covering computational approaches to understanding meaning relationships and logical reasoning in natural language processing.
Syllabus
2014 03 25 Jackie CK Cheung - Towards Large-Scale Natural Language Inference with Distributional...
Taught by
Center for Language & Speech Processing(CLSP), JHU