11-727 Computational Semantics for NLP

12 units, Carnegie Mellon University

This course surveys semantics from a language processing perspective. It is divided into three main sections supplemented with a substantive semesterlong computational project. The first section addresses traditional topics of computational semantics and semantic processing and representation systems. The second focuses on computational lexical semantics, including resources such as WordNet, Framenet, and some wordbased ontologies, and their computational applications, such as word sense disambiguation, entailment, etc., and briefly the semantic web. The third section covers modern statisticsbased distributional models of semantics. Each week focuses on one topic, covered by the lecturers, and will include one or two core introductory readings plus several optional more advanced readings. All students will read and discuss the introductory readings while each student will be expected to read advanced papers on at least two topics.

Prerequisites: none listed

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