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Christopher Manning is an Associate 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. Manning has coauthored leading textbooks on statistical approaches to Natural Language Processing (NLP) (Manning and SchÃ¼tze 1999) and information retrieval (Manning, Raghavan, and SchÃ¼tze, 2008), as well as linguistic monographs on ergativity and complex predicates. His recent work has concentrated on probabilistic approaches to NLP problems and computational semantics, particularly including such topics as statistical parsing, part-of-speech tagging, and named entity recognition; robust textual inference; machine translation; grammar induction; and large-scale joint inference for NLP.

Currently teaching

LINGUIST 198: Honors Research
LINGUIST 199: Independent Study
LINGUIST 397: Directed Reading
LINGUIST 390: M.A. Project
LINGUIST 398: Directed Research
LINGUIST 399: Dissertation Research
CS 199P: Independent Work
CS 399P: Independent Project
CS 390D: Part-time Curricular Practical Training
CS 192: Programming Service Project
CS 199: Independent Work
CS 195: Supervised Undergraduate Research
SYMSYS 290: Master's Degree Project
LINGUIST 396: Research Projects in Linguistics
CS 191: Senior Project
CS 499: Advanced Reading and Research
CS 399: Independent Project
CS 499P: Advanced Reading and Research
CS 191W: Writing Intensive Senior Research Project
CS 390A: Curricular Practical Training
CS 390B: Curricular Practical Training
CS 390C: Curricular Practical Training
BMDS 370: Medical Scholars Research
BMDS 295: Biomedical Informatics Teaching Methods
BMDS 299: Directed Reading