Fireside Chat with Christopher Manning

Christopher Manning is a Professor of Computer Science and Linguistics at Stanford University. His Ph.D. is from Stanford in 1995, and he held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford. He is a fellow of ACM, AAAI, and the Association for Computational Linguistics. Manning has coauthored leading textbooks on statistical approaches to natural language processing (Manning and Schuetze, 1999) and information retrieval (Manning, Raghavan, and Schuetze, 2008). His recent work has concentrated on probabilistic approaches to natural language processing (NLP) problems and computational semantics, particularly including such topics as statistical parsing, robust textual inference, machine translation, large-scale joint inference for NLP, computational pragmatics, and hierarchical deep learning for NLP.

Séries:
MSR AI Distinguished Lectures and Fireside Chats
Date:
Haut-parleurs:
Susan Dumais, Christopher Manning
Affiliation:
Microsoft Research, Stanford University

Taille: MSR AI Distinguished Lectures and Fireside Chats