Understanding Natural Language Understanding Bill MacCartney
ACM SIGAI (Artificial Intelligence) Bay Area Chapter inaugural meeting
Title: Understanding Natural Language Understanding
Abstract: Human language is the ultimate user interface. As computers migrate from desktop to pocket, car, home, and face, we increasingly rely on them to understand the meaning of our words. In this talk, I will survey the rapidly-evolving field of natural language understanding (NLU), including sentiment analysis, relation extraction, semantic parsing, and vector-space models of meaning. I’ll highlight the impact of massive datasets and deep neural networks, and I’ll report on recent advances in both academia and industry.
Speaker bio: Bill MacCartney is a Senior Research Scientist at Google, where he works on various problems in natural language understanding. Bill is also a Consulting Assistant Professor of Computer Science at Stanford University, where he has taught CS224U (Natural Language Understanding) since 2010. During his Ph.D., Bill authored a significant part of the Stanford NLP toolkit, including the Recognizing Textual Entailment (RTE) system. Bill also serves as an advisor to a number of startups. Bill's profile on the web:
http://nlp.stanford.edu/~wcmac/papers/20140716-UNLU.pdf
recording link
https://www.youtube.com/watch?v=vcPd0V4VSNU
recording link
https://www.youtube.com/watch?v=vcPd0V4VSNU
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