Events Calendar

NL Seminar- Hal Daume: "Predicting Linguistic Structures Accurately and Efficiently"

Speaker: Hal Daume, University of Maryland

Talk Title: "Predicting Linguistic Structures Accurately and Efficiently"

Series: Natural Language Seminar

Abstract: Many classic problems in natural language processing can be cast as building mapping from a complex input (e.g., a sequence of words) to a complex output (e.g., a syntax tree or semantic graph). This task is challenging both because language is ambiguous (learning difficulties) and represented with discrete combinatorial structures (computational difficulties). Often these are at odds: the features you want to add to decrease learning difficulties cause nontrivial additional structure yielding worse computational difficulties.

I will begin by discussing algorithms that side-step the issue of combinatorial blowup and aim to predict an output structure directly. I will then present approaches that explicitly learn to trade-off accuracy and efficiency, applied to a variety of linguistic phenomena. Moreover, I will show that in some cases, we can actually obtain a model that is faster and more accurate by exploiting smarter learning algorithms.



Biography: http://www.umiacs.umd.edu/~hal/

Host: Yang Gao

More Info: http://nlg.isi.edu/nl-seminar/

Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey

Audiences: Everyone Is Invited

Contact: Peter Zamar

Event Link: http://nlg.isi.edu/nl-seminar/