Christopher D. Manning

Christopher D. Manning
Manning in 2025
Academic background
EducationAustralian National University (BA (Hons))
Stanford University (PhD)
ThesisErgativity: Argument Structure and Grammatical Relations (1994)
Academic work
InstitutionsCarnegie Mellon University
University of Sydney
Stanford University
Doctoral students
Dan Klein
Sepandar Kamvar
Danqi Chen

Christopher David Manning is an Australian-American computer scientist and applied linguist specialising in the areas of natural language processing, artificial intelligence, and machine learning. Manning is known for co-developing GloVe word vectors; the bilinear or multiplicative form of attention, now widely used in artificial neural networks including the transformer; tree-structured recursive neural networks; and approaches to and systems for textual entailment.

Manning is the inaugural Thomas M. Siebel Professor in Machine Learning, and a professor of linguistics and computer science at Stanford University. He has been the director of the Stanford Artificial Intelligence Laboratory since 2018.

Early life and education

Christopher David Manning[citation needed] received a BA (Hons) degree majoring in mathematics, computer science, and linguistics from the Australian National University (1989). He earned a PhD in linguistics from Stanford University in California in 1994, under the guidance of Joan Bresnan.

Career

Manning was an assistant professor at Carnegie Mellon University in Pittsburgh, Pennsylvania, from 1994 to 1996, followed by a sting as lecturer at the University of Sydney in Sydney, Australia, from 1996 to 1999. He returned to the US to take up a position as an assistant professor at Stanford, where he was promoted to associate professor in 2006 and to full professor in 2012.[citation needed]

Manning's PhD students include Dan Klein, Sepandar Kamvar, Richard Socher, and Danqi Chen.

As of 2026 he is inaugural Thomas M. Siebel Professor in Machine Learning (named for Thomas Siebel) and a professor of Linguistics and Computer Science at Stanford University, and was the director of the Stanford Artificial Intelligence Laboratory (SAIL) from 2018 to 2025.

On 1 October 2026 Manning was appointed as one of three expert commissioners to lead the Royal Commission into Artificial Intelligence established by the Government of South Australia.

Work

Manning's linguistic work includes his dissertation "Ergativity: Argument Structure and Grammatical Relations" (1994), a monograph Complex Predicates and Information Spreading in LFG (1999), and his work developing Universal Dependencies, from which he is the namesake of Manning's Law.

He is known for co-developing GloVe word vectors; the bilinear or multiplicative form of attention, now widely used in artificial neural networks including the transformer; tree-structured recursive neural networks; and approaches to and systems for textual entailment. His main educational contributions are his textbooks Foundations of Statistical Natural Language Processing (1999) and Introduction to Information Retrieval (2008). From 2002, Manning also pioneered the development of well-maintained open source computational linguistics software packages, including CoreNLP, Stanza, and GloVe.

Recognition and memberships

Manning was elected an AAAI Fellow in 2010, an inaugural ACL Fellow in 2011, and an ACM Fellow in 2013.

He was president of the Association for Computational Linguistics in 2015.[citation needed]

He received an honorary doctorate from the University of Amsterdam in 2023.

Manning was awarded the IEEE John von Neumann Medal "for advances in computational representation and analysis of natural language" in 2024 and elected as a Fellow of the National Academy of Engineering and the American Academy of Arts and Sciences in 2025.

Bibliography

References

  1. ↑ Manning, Christopher. "Christopher Manning". The Stanford Natural Language Processing Group. Retrieved 24 May 2022.
  2. 1 2 Manning, Christopher. "Christopher Manning and Ph.D. Students' Dissertations". The Stanford Natural Language Processing Group. Retrieved 24 May 2022.
  3. ↑ "Christopher Manning's Profile". Stanford Profiles. Stanford University. Retrieved 29 December 2025.
  4. ↑ Manning, Christopher (31 May 2017). "The evolution of computational linguistics and where it's headed next". Phys.org (Interview). Interviewed by Myers, Andrew.
  5. ↑ Leckie, Evelyn; Kelsall, Thomas (1 October 2026). "SA Premier announces three experts to lead Royal Commission into AI". ABC News. Archived from the original on 1 October 2026. Retrieved 2 October 2026.
  6. ↑ "Complex Predicates and Information Spreading in LFG". Retrieved 23 April 2023.
  7. ↑ de Marneffe, Marie-Catherine; Manning, Christopher D.; Nivre, Joakim; Zeman, Daniel (13 July 2021). "Universal Dependencies". Computational Linguistics. 47 (2): 255–308. doi:10.1162/coli_a_00402. hdl:2078.1/278798. ISSN 0891-2017. S2CID 219304854.
  8. ↑ "Christopher D Manning - AD Scientific Index 2022". www.adscientificindex.com. Retrieved 22 February 2022.
  9. ↑ "Christopher Manning". CIFAR. Retrieved 22 February 2022.
  10. ↑ "Laying the foundation for today's generative AI". Stanford. 18 April 2024. Retrieved 27 October 2024.
  11. ↑ "Stanford NLP Group". Retrieved 23 April 2023.
  12. ↑ "Elected AAAI Fellows". AAAI. Retrieved 6 January 2024.
  13. ↑ "ACL Fellows". ACL. Retrieved 22 February 2026.
  14. ↑ "ACM Fellows". ACM. Retrieved 22 February 2026.
  15. ↑ "UvA honorary doctorates for psychiatrist Vikram Patel and computer scientist Christopher Manning". December 2022. Retrieved 23 April 2023.
  16. ↑ "Christopher D. Manning". IEEE. Retrieved 27 October 2024.
  17. ↑ "Stanford faculty elected to the National Academy of Engineering". 18 February 2025. Retrieved 22 February 2026.
  18. ↑ "Seven Stanford faculty elected to the American Academy of Arts and Sciences". 23 April 2025. Retrieved 22 February 2026.