Within computational linguistics, semantics has a long and varied history. As a branch of artificial intelligence, early natural language processing was, like early AI, deeply concerned with how to formally represent and reason about knowledge. With the statistical revolution in the 1990s such questions largely went out of fashion, but now they are back in new incarnations, with fascinating work taking place that brings together earlier work on formal representations with a current emphasis on what can be learned automatically using large volumes of data.
The goals of this seminar are twofold: to understand the big picture of semantics in computational linguistics, and to get a detailed understanding of the issues at play in specific instances of recent research. By the end of the semester students should be well equipped to understand and follow current research literature on this topic.
The seminar will mainly involve readings and in-class discussion, helped along by participation in discussions on Piazza. The class will be graded on:
Philip Resnik, Professor
Department of Linguistics and Institute for Advanced Computer Studies
Department of Linguistics
1401 Marie Mount Hall UMIACS phone: (301) 405-6760
University of Maryland Linguistics phone: (301) 405-8903
College Park, MD 20742 USA Fax: (301) 314-2644 / (301) 405-7104
http://umiacs.umd.edu/~resnik E-mail: resnik AT umd _DOT.GOES.HERE_ edu