Skip to content
CIFAR header logo
fr
menu_mobile_logo_alt
  • News
  • Events
    • Public Events
    • Invitation-only Meetings
  • Programs
    • Research Programs
    • Pan-Canadian AI Strategy
    • Next Generation Initiatives
  • People
    • Fellows & Advisors
    • CIFAR Azrieli Global Scholars
    • Canada CIFAR AI Chairs
    • AI Strategy Leadership
    • Solution Network Members
    • Leadership
  • Support Us
  • About
    • Our Story
    • CIFAR 40
    • Awards
    • Partnerships
    • Publications & Reports
    • Careers
    • Staff Directory
    • Equity, Diversity & Inclusion
  • fr
  • Home
  • Bio

Follow Us

post_content

Christopher Manning

Appointment

Fellow

Learning in Machines & Brains

Connect

Website

About

Christopher Manning’s research goal is computers that can intelligently process, understand and generate human language material.

Manning concentrates on machine learning approaches to computational linguistic problems, including syntactic parsing, computational semantics and pragmatics, textual inference and machine translation. He is a leader in applying deep learning to natural language processing, including exploring Tree Recursive Neural Networks, sentiment analysis, neural network dependency parsing, the GloVe model of word vectors, neural machine translation and deep language understanding. He was president of the Association for Computational Linguistics in 2015, has co-authored leading textbooks on statistical natural language processing and information retrieval, and is a member of the Stanford NLP group (@stanfordnlp).

Awards

  • Fellow, Association for Computing Machinery
  • Fellow, Association for the Advancement of Artificial Intelligence
  • Fellow, Association for Computational Linguistics

Relevant Publications

  • Manning, C.D., P. Raghavan, and H. Schütze. Introduction to Information Retrieval. Cambridge: Cambridge University Press, 2008.

  • Manning, C.D., and H. Schütze. Foundations of Statistical Natural Language Processing. Cambridge, MA: MIT Press, 1999.

  • Andrews, A., and C.D. Manning. Complex Predicates and Information Spreading in LFG. Stanford, CA: CSLI Publications, 1999.

Institution

Stanford University

Department

Department of Computer Science

Education

  • PhD, Stanford University

Country

United States

Support Us

CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.

Donate Now
CIFAR header logo

MaRS Centre, West Tower
661 University Ave., Suite 505
Toronto, ON M5G 1M1 Canada

Contact Us
Media
Careers
Accessibility Policies
Supporters
Financial Reports
Subscribe

  • © Copyright 2023 CIFAR. All Rights Reserved.
  • Charitable Registration Number: 11921 9251 RR0001
  • Terms of Use
  • Privacy
  • Sitemap

Subscribe

Stay up to date on news & ideas from CIFAR.

This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy Policy.
Accept Learn more