Linguistic Fundamentals for Natural Language Processing II

Emily M. Bender is a Professor in the Department of Linguistics and Adjunct Professor in the School of Computer Science & Engineering at the University of Washington. Her primary research interests lie in multilingual grammar engineering, the incorporation of linguistic knowledge in NLP, computational semantics, and ethics in NLP. She is the PI of the Grammar Matrix project, which is developed in the context of the DELPH-IN Consortium (Deep Linguistic Processing with HPSG Initiative). More generally, she is interested in the intersection of linguistics and computational linguistics, from both directions: bringing computational methodologies to linguistic science and linguistic science to natural language processing.Her Ph.D. (in linguistics) is from Stanford University. She has authored or co-authored papers in Transactions of the ACL, Linguistic Issues in Language Technology, the Journal of Research on Language and Computation, English Language and Linguistics, the Encyclopedia of Language and Linguistics, and Linguistic Typology, and the proceedings of conferences such as ACL, COLING, EMNLP, IJCNLP, and IWCS, and associated workshops. She is the author of a previous volume of this series, Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax, Synthesis Lectures on Human Language Technologies #20.