Manning has coauthored leading textbooks on statistical approaches to Natural Language Processing (NLP) (Manning and Schuetze 1999) and information retrieval (Manning, Raghavan, and Schuetze, 2008), as well as linguistic monographs on ergativity and complex predicates. His recent work concentrates on probabilistic approaches to NLP problems and computational semantics, particularly including such topics as statistical parsing, robust textual inference, machine translation, grammar induction, and large-scale joint inference for NLP. He has won several best paper awards; most recently his paper with Bill MacCartney on Natural Language Inference won the Coling 2008 Best Paper Award. 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.