"lemmatization and reinflection: two sides of the same coin"
Presenter: Garrett Nicolai, PhD student, Department of Computing Science, University of Alberta
Abstract: In English, a single word generally only appears in a handful of forms: see, sees, seeing, seen, saw. In other languages, however, words need to be marked for a large number of features such as number, mood, tense, case, etc. My talk will consist of two parts. First, I will present our ACL 2016 paper which describes a machine-learning method for simplifying inflections by leveraging publicly-available inflection tables, such as those found on Wiktionary. In the second part, I will discuss the surprising results of the First Shared Task on Morphological Reinflection in Berlin, which demonstrate the growing importance of deep learning and neural networks in language processing.
Bio: Garrett Nicolai is a senior PhD student working on problems in Natural Language Processing with Greg Kondrak. He has published 10 papers since starting his PhD program.
ai seminar series
Fridays at noon, Amii and the Department of Computing Science host AI Seminars, engaging presentations on topics in the broad field of artificial intelligence. With speakers from the University of Alberta and other world-leading groups, the talks give AI enthusiasts a friendly way of engaging with the latest trends and topics in research and development.
Seminars are open to the public, and no registration is required, though seating is limited and on a first-come-first-served basis. Topics range from foundational theoretical work to innovative applications of artificial intelligence technologies.
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