Chris Manning works on systems and formalisms that can intelligently process and produce human languages. Particular research interests include probabilistic models of language and statistical natural language processing, text understanding and mining, constraint-based theories of grammar (HPSG and LFG), computational lexicography (involving work in XML, XSL, and information visualization), information extraction, and syntactic typology.
Brief Bio
NAME: Christopher D. Manning
TITLE: Assistant Professor of Computer Science and Linguistics
AREA OF INTEREST: Human Language Technology / Natural Language
Processing
BRIEF DESCRIPTION: Manning works on systems that can intelligently
process and produce human languages. Particular research interests
include probabilistic models of language and statistical natural
language processing, constraint-based theories of grammar (HPSG and
LFG), computational lexicography, and information extraction.
Ph.D. Stanford 1994.
Christopher Manning, Assistant Professor of Computer Science and Linguistics works on systems and formalisms that can intelligently process and produce human languages. His research interests range from applying statistical natural language processing techniques to problems of information retrieval, information extraction, text data mining, and computational lexicography through building probabilistic models of language phenomena to constraint-based theories of grammar (HPSG and LFG), and their use in explaining grammatical structures and their variation across languages.
Christopher Manning is assistant professor of computer science and linguistics at Stanford University. Previously, he held faculty positions at Carnegie Mellon University and the University of Sydney. His research interests include statistical models of language, information extraction, and computational lexicography. He is co-author of Foundations of Statistical Natural Language Processing (MIT Press, 1999).
Christopher Manning is Assistant Professor of Computer Science and Linguistics. He works primarily on systems that can intelligently process and produce human languages. Particular research interests include probabilistic models of language and statistical natural language processing, constraint-based theories of grammar (HPSG and LFG), computational lexicography, information extraction, and topics in linguistic typology, including argument structure, serial verbs, causatives, and ergativity.
Christopher Manning is an Assistant Professor of Computer Science and Linguistics at Stanford University. His research interests include probabilistic models of language and statistical natural language processing, constraint-based theories of grammar (HPSG and LFG), computational lexicography, and syntactic typology. He received his Ph.D. in linguistics from Stanford University in 1995. From 1994-1996, he was on the faculty of the Computational Linguistics Program at Carnegie Mellon University, and from 1996-1999 he was "back home" at the University of Sydney, before returning to Stanford at the start of this academic year. His most recent book is Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schuetze).
Chris Manning works on systems that can intelligently process and produce human languages. Particular research interests include probabilistic models of language and statistical natural language processing, constraint-based theories of grammar (HPSG and LFG), computational lexicography, information extraction and text mining, and topics in syntactic theory.
Christopher Manning is assistant professor of computer science and linguistics at Stanford University. His research interests include probabilistic models of language and statistical natural language processing, constraint-based theories of grammar (HPSG and LFG), computational lexicography, information extraction, and topics in linguistic typology.
Christopher Manning received his BA (Hons) from the Australian National University and then a Ph.D. from Stanford University in 1995. Since then he has held faculty positions in the Computational Linguistics Program (Philosophy Dept) at Carnegie Mellon University, the Linguistics Department at the University of Sydney, and since September 1999 he is Assistant Professor of Computer Science and Linguistics at Stanford University. His research interests include probabilistic models of language and statistical natural language processing, constraint-based theories of grammar (HPSG and LFG), computational lexicography, semi-structured data and XML, information extraction, and topics in syntactic typology including ergativity and argument structure. For the last two years, he has been working with Jane Simpson and other colleagues on projects in computational lexicography and dictionary usability, focussing particularly on Australian languages. As well as various articles and book chapters, he is author or co-author of three books, Ergativity: Argument Structure and Grammatical Relations (CSLI Publications, 1996), Complex Predicates and Information Spreading in LFG (CSLI Publications, 1999, with Avery Andrews), and Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schuetze).
CHRISTOPHER MANNING, Ph.D., Assistant Professor of Computer Science and Linguistics Christopher Manning works on systems that can intelligently process and produce human languages. Particular research interests include probabilistic models of language and statistical natural language processing, constraint-based theories of grammar (HPSG and LFG), parsing systems, computational lexicography, information extraction and text mining, and topics in syntactic theory and typology.
Christopher Manning is assistant professor of computer science and linguistics at Stanford University. Previously, he held faculty positions at Carnegie Mellon University and the University of Sydney. His research interests include statistical models of language, information extraction, and computational lexicography. He is co-author of Foundations of Statistical Natural Language Processing (MIT Press, 1999).
Christopher Manning is the only faculty member at Stanford University with appointments in both the Computer Science and Linguistics departments. He works on systems and formalisms that can intelligently process and produce human languages. Particular research interests include probabilistic models of language and statistical natural language processing, text understanding and text mining, constraint-based theories of grammar (HPSG and LFG), computational lexicography (involving work in XML, XSL, and information visualization), information extraction, and syntactic typology. Chris received his BA (Hons) from the Australian National University, in mathematics, computer science and linguistics; and his PhD from Stanford in Linguistics. Prior to joining the Stanford faculty, he held faculty positions at Carnegie Mellon University and the University of Sydney. He is the author or coauthor of three books including Foundations of Statistical Natural Language Processing.
Christopher Manning is assistant professor of computer science and linguistics at Stanford University. Previously, he held faculty positions at Carnegie Mellon University and the University of Sydney. His research interests include probabilistic models of language and statistical natural language processing, constraint-based theories of grammar, parsing systems, computational lexicography, information extraction and text mining, and topics in syntactic theory and typology.
Christopher Manning is assistant professor of computer science and linguistics at Stanford University. Previously, he has held faculty positions at Carnegie Mellon University and the University of Sydney. His research interests include statistical models of language, syntax, information extraction, and computational lexicography.
Christopher Manning, Assistant Professor of Computer Science and Linguistics at Stanford University, works primarily on systems that can intelligently process and produce human languages. Particular research interests include probabilistic models of language and statistical natural language processing, constraint-based theories of grammar (HPSG and LFG), computational lexicography (working with XML, XSL, and information visualization), information extraction and text mining, and topics in syntax and cross-linguistic typology. His most recent book is Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schütze).
Christopher Manning is an Assistant Professor of Computer Science and Linguistics at Stanford University. He received his Ph.D. from Stanford University in 1995, and served on the faculty of the Computational Linguistics Program at Carnegie Mellon University (1994-1996) and the University of Sydney Linguistics Department (1996-1999) before returning to Stanford. His research interests include probabilistic models of language, natural language parsing, constraint-based linguistic theories, syntactic typology, information extraction and text mining, and computational lexicography. He is the author of three books, including Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schuetze).
Christopher Manning is an Assistant Professor of Computer Science and Linguistics at Stanford University. He received his Ph.D. from Stanford University in 1995, and served on the faculty of the Computational Linguistics Program at Carnegie Mellon University and the Linguistics Department at the University of Sydney before returning to Stanford. His research interests include probabilistic models of language, statistical natural language processing, constraint-based linguistic theories, syntactic typology, information extraction, text mining, and computational lexicography. He is the author of three books, including Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schütze).
Christopher Manning is an Assistant Professor of Computer Science and Linguistics at Stanford University. He received his Ph.D. from Stanford University in 1995, and served on the faculty of the Computational Linguistics Program at Carnegie Mellon University (1994-1996) and the University of Sydney Linguistics Department (1996-1999) before returning to Stanford. His research interests include probabilistic models of language, natural language parsing, constraint-based linguistic theories, syntactic typology, information extraction and text mining, and computational lexicography. He is the author of three books, including Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schuetze).
Christopher Manning is an assistant professor of computer science and linguistics at Stanford University. Previously, he has held faculty positions at Carnegie Mellon University and the University of Sydney. His research interests include probabilistic natural language processing, syntax, information extraction, and computational lexicography. He is the author of three books, including Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schuetze).
Christopher Manning is an assistant professor of computer science and linguistics at Stanford University. Previously, he has held faculty positions at Carnegie Mellon University and the University of Sydney. His research interests include probabilistic natural language processing, syntax, computational lexicography, information extraction and text mining. He is the author of three books, including Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schuetze).
Christopher Manning is an assistant professor of computer science and linguistics at Stanford University. Prior to this, he received his BA (Hons) from the Australian National University, his PhD from Stanford in 1995, and held faculty positions at Carnegie Mellon University and the University of Sydney. His research interests include probabilistic natural language processing, syntax, parsing, computational lexicography, information extraction and text mining. He is the author of three books, including the well-known text Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schuetze).
Christopher Manning is an Assistant Professor of Computer Science and Linguistics at Stanford University. He received his Ph.D. from Stanford University in 1995, and held faculty positions in the Computational Linguistics Program at Carnegie Mellon University (1994-1996) and in the University of Sydney Linguistics Department (1996-1999) before returning to Stanford. He is a Terman Fellow and recipient of an IBM Faculty Award. His recent work has concentrated on statistical parsing, grammar induction, and probabilistic approaches to problems such as word sense disambiguation, part-of-speech tagging, and named entity recognition, with an emphasis on complementing leading machine learning methods with use of rich linguistic features. Manning coauthored the leading textbook on statistical approaches to NLP (Manning and Schuetze 1999) and (with Dan Klein) received the best paper award at the Association for Computational Linguistics 2003 meeting for the paper Accurate Unlexicalized Parsing.
Christopher Manning is an Assistant Professor of Computer Science and Linguistics at Stanford University. He received his Ph.D. from Stanford University in 1995, and held faculty positions in the Computational Linguistics Program at Carnegie Mellon University (1994-1996) and in the University of Sydney Linguistics Department (1996-1999) before returning to Stanford. His recent work has concentrated on statistical parsing, grammar induction, and probabilistic approaches to problems such as part-of-speech tagging, named entity recognition, and learning semantic relations, with an emphasis on complementing leading machine learning methods with use of rich linguistic features. Manning coauthored the leading textbook on statistical approaches to NLP (Manning and Schuetze 1999) and with Dan Klein received the best paper award at the Association for Computational Linguistics 2003 meeting for the paper Accurate Unlexicalized Parsing.
Christopher Manning is an assistant professor of computer science and linguistics at Stanford University. Previously, he held faculty positions at Carnegie Mellon University and the University of Sydney. His research interests include probabilistic natural language parsing, syntax, information extraction and text mining. He is the author of three books, including Foundations of Statistical Natural Language Processing (MIT Press, 1999, with Hinrich Schuetze).
Christopher Manning is an Associate Professor of Linguistics and Computer Science at Stanford University. His recent work has concentrated on probabilistic approaches to NLP problems, particularly statistical parsing, robust textual inference, and grammar induction. His work emphasizes considering different languages and complementing leading machine learning methods with use of rich linguistic features. Manning coauthored the leading textbook on statistical approaches to NLP (Manning and Schuetze 1999) and has an in press book on Information Retrieval and Web Search (with Raghavan and Schuetze, CUP 2007). Together with Dan Klein, he received the best paper award at the Association for Computational Linguistics 2003 meeting for the paper Accurate Unlexicalized Parsing. 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.
Christopher Manning is an Associate Professor of Linguistics and Computer Science at Stanford University. His recent work has concentrated on probabilistic approaches to NLP problems, particularly statistical parsing, robust textual inference, and grammar induction, but has also involved ongoing work on computational lexicography and dictionary usability, focussing particularly on Australian languages. Manning coauthored the leading textbook on statistical approaches to NLP (Manning and Schuetze 1999) and has an in press book on Information Retrieval and Web Search (with Raghavan and Schuetze, CUP 2008). Together with Dan Klein, he received the best paper award at the Association for Computational Linguistics 2003 meeting for the paper Accurate Unlexicalized Parsing. 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.
Professor Manning works on systems and formalisms that can intelligently process and produce human languages. Particular research interests include probabilistic models of language and statistical natural language processing, robust textual understanding and inference, named entity recognition, information extraction, and text mining, statistical parsing of various languages, constraint-based theories of grammar and probabilistic extensions of them, and computational lexicography (involving work in XML, XSL, and information visualization).
I am an associate professor of computer science and linguistics at Stanford University. Previously, I graduated with a PhD from Stanford Linguistics in 1995, and then held faculty positions at Carnegie Mellon University and the University of Sydney. My research interests include probabilistic natural language parsing, statistical parsing, grammar induction and probabilistic approaches to information extraction, text mining, and linguistic questions. In general my work emphasizes complementing leading machine learning methods with use of rich linguistic features. I am the author of three published books, including \emph{Foundations of Statistical Natural Language Processing} (MIT Press, 1999, with Hinrich Sch\"utze), and also of the in-press textbook \emph{Introduction to Information Retrieval} (Cambridge, 2008, with Prabhakar Raghavan and Hinrich Sch\"utze). Together with Dan Klein, I received the best paper award at the 2003 meeting of the Association for Computational Linguistics.
Christopher Manning is an Associate Professor of Linguistics and Computer Science at Stanford University. His recent work has concentrated on probabilistic approaches to NLP problems, particularly statistical parsing, robust textual inference, and grammar induction. Manning coauthored the leading textbook on statistical approaches to NLP (Manning and Schuetze 1999) and has an in press book on Information Retrieval and Web Search (with Raghavan and Schuetze, CUP 2008). He is Australian; 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.
Christopher Manning is an Associate Professor of Computer Science and Linguistics at Stanford University. His work concentrates on probabilistic approaches to NLP, particularly statistical parsing, robust textual inference, and grammar induction. Manning coauthored the leading textbook on statistical approaches to NLP (Manning and Schuetze 1999) and a new book this summer, Introduction to Information Retrieval (with Raghavan and Schuetze). Australian. Stanford Ph.D. 1995. Previous faculty positions at Carnegie Mellon University and the University of Sydney.
Christopher Manning is an Associate Professor of Computer Science and Linguistics at Stanford University. His work concentrates on probabilistic approaches to NLP, particularly statistical parsing, robust textual inference, and grammar induction. Manning coauthored the leading textbook on statistical approaches to NLP (Manning and Schuetze 1999) and a new book this summer, Introduction to Information Retrieval (with Raghavan and Schuetze). Australian. Stanford Ph.D. 1995. Previous faculty positions at Carnegie Mellon University and the University of Sydney.