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1. en.wikipedia.org › wiki › Christopher_DChristopher D. Manning - Wikipedia

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   Christopher D. Manning. Christopher David Manning (born September 18, 1965) is a computer scientist and applied linguist whose research in the areas of natural language processing, artificial intelligence and machine learning is considered highly influential. He is the current Director of the Stanford Artificial Intelligence Laboratory (SAIL).

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3. nlp.stanford.edu › ~manningChristopher Manning, Stanford NLP

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   Jul 10, 2024 · Bio. Christopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

4. profiles.stanford.edu › chris-manningChristopher Manning's Profile | Stanford Profiles

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   Bio. Christopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

5. scholar.google.com › citations‪Christopher D Manning‬ - ‪Google Scholar‬

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   Articles 1–20. ‪Professor of Computer Science and Linguistics, Stanford University‬ - ‪‪Cited by 263,725‬‬ - ‪Natural Language Processing‬ - ‪Computational Linguistics‬ - ‪Deep Learning‬.

6. www.cs.stanford.edu › people › christopher-manningChristopher Manning - Computer Science

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   Christopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

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     Stanford Professor Chris Manning: Ask About AI - Full Version

     20 Dec 2023

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     What inspired you to study Natural Language Processing? - Chris Manning & Andrew Ng

     24 May 2023

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     Andrew Ng and Chris Manning Discuss Natural Language Processing

     7 Jun 2023

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8. profiles.stanford.edu › browse › independent-labsInstitute for Human-Centered Artificial Intelligence (HAI)

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   Bio Christopher Manning is the inaugural Thomas M. Siebel Professor of Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

9. cap.stanford.edu › profiles › viewCVChristopher David Manning - Stanford University

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   Paris and stanford at epe 2017: Downstream evaluation of graph-based dependency representa-tions. In The 2017 Shared Task on Extrinsic Parser Evaluation at the Fourth International Conference on Dependency Linguistics and the 15th International Conference on Parsing Technologies (EPE2017).

10. People also ask

    Who is Christopher Manning?

    • Christopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

    Christopher Manning, Stanford NLP

    nlp.stanford.edu/~manning/

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    What books does Manning write?

    • Manning has coauthored leading textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), as well as linguistic monographs on ergativity and complex predicates.

    Christopher Manning | Computer Science

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    What is Manning's contribution to natural language processing (NLP)?

    • Manning pioneered applying Deep Learning to Natural Language Processing (NLP), with well-known research on the GloVe model of word vectors, attention, machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, sentiment analysis, and summarization.

    Christopher Manning, Stanford NLP

    nlp.stanford.edu/~manning/

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