Events Calendar

NL Seminar- Kenji Sagae:Dependency parsing with directed graph output

Speaker: Kenji Sagae, USC/ ICT

Talk Title: Dependency parsing with directed graph output

Series: Natural Language Seminar

Abstract: Most data-driven dependency parsing approaches assume that the structure of sentences is represented as trees. Although trees have several desirable properties from a computational perspective, the structure of linguistic phenomena that go beyond shallow syntax often cannot be fully captured by tree representations. I will describe data-driven dependency parsing approaches that produce more general graphs as output, and present results obtained with these approaches on predicate-argument structures extracted from CCG and HPSG datasets.



Biography: Kenji Sagae is a Research Scientist in the Institute for Creative Technolgies at the University of Southern California, and a Research Assistant Professor in the USC Computer Science Department. He received his PhD from Carnegie Mellon University in 2006. Prior to joining USC in 2008, he was a research associate at the University of Tokyo. His main area of research is Natural Language Processing, focusing on data-driven approaches for syntactic parsing, predicate-argument analysis and discourse processing. His current work includes the application of these techniques in analysis of personal narratives in blog posts, the study of child language, spoken dialogue systems, and multimodal processing.

Home Page
http://ict.usc.edu/profile/kenji-sagae/

Host: Kevin Knight & Yang Gao

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

Location: 11th Flr Conf Rm # 1135, Marina Del Rey @ ISI-Info Sciences Inst.

Audiences: Everyone Is Invited

Contact: Peter Zamar

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