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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).
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).
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).
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).
Articles 1–20. Professor of Computer Science and Linguistics, Stanford University - Cited by 263,725 - Natural Language Processing - Computational Linguistics - Deep Learning.
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).
Christopher David Manning (born September 18, 1965) is an Australian computer scientist, best known for his books Complex Predicates and Information Spreading in LFG (1999), and Introduction to Information Retrieval (2008).
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