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  1. 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).

  2. 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).

  3. 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.

  4. 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. Christopher Manning is a professor of computer science and linguistics at Stanford University, Director of the Stanford Artificial Intelligence Laboratory, and Co-director of the Stanford Human-Centered Artificial Intelligence Institute.

  6. Christopher David Manning. Department of Linguistics Margaret Jacks Hall Stanford CA 94305-2150. Phone: +1 (650) 723-7683 Web: https://nlp.stanford.edu/∼manning/ Email: manning@stanford.edu.

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  8. Christopher Manning works on software for natural language understanding. He is a leader in applying Deep Learning to Natural Language Processing, with well-known research on Tree Recursive Neural Networks, the GloVe model of word vectors, sentiment analysis, neural network dependency parsing, neural machine translation, question answering, and