Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG). This is because the aims of these fields are to build systems that understand what people mean when they speak or write, and that can produce linguistic strings that successfully express to people the intended content. In order for NLP to scale beyond partial, task-specific solutions, researchers in these fields must be informed by what is known about how humans use language to express and understand communicative intents. The purpose of this book is to present a selection of useful information about semantics and pragmatics, as understood in linguistics, in a way that's accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistics.
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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.
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