School of Humanities and Sciences
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Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics and of Computer Science
BioChristopher Manning is a professor of computer science and linguistics 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). He works on software that can intelligently process, understand, and generate human language material. He is a leader in applying Deep Learning to Natural Language Processing, including exploring Tree Recursive Neural Networks, neural network dependency parsing, the GloVe model of word vectors, neural machine translation, question answering, and deep language understanding. He also focuses on computational linguistic approaches to parsing, natural language inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. Manning is an ACM Fellow, a AAAI Fellow, an ACL Fellow, and a Past President of ACL. He has coauthored leading textbooks on statistical natural language processing and information retrieval. He is the founder of the Stanford NLP group (@stanfordnlp) and manages development of the Stanford CoreNLP and Stanza software.
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Yoshiko Matsumoto
Yamato Ichihashi Chair of Japanese History and Civilization and Professor, by courtesy, of Linguistics
Current Research and Scholarly InterestsBased on in-depth analyses of Japanese with a cross-linguistic perspective, my research emphasizes the importance of linguistic and extralinguistic context in understanding the structure, meaning and use of language. I have worked on the pragmatics of linguistic constructions (e.g. frame semantics of noun-modifying construction, reference, honorifics, discourse markers) and sociocultural aspects of discourse (e.g. politeness theories, speech acts, bilingualism, intersection of language, gender and age, ideology, and identity reflected in Japanese as a second language). Topics of my current research center around conversational narratives especially of older adults and disaster survivors – (re)framing of narratives, ordinariness, stances taken by participants, integration of pragmatic factors in Construction Grammar, and typology and functions of noun-modifying constructions.
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Jay McClelland
Lucie Stern Professor in the Social Sciences and Professor, by courtesy, of Linguistics and of Computer Science
Current Research and Scholarly InterestsMy research addresses topics in perception and decision making; learning and memory; language and reading; semantic cognition; and cognitive development. I view cognition as emerging from distributed processing activity of neural populations, with learning occurring through the adaptation of connections among neurons. A new focus of research in the laboratory is mathematical cognition and reasoning in humans and contemporary AI systems based on neural networks.