keynote lecture 3
Current Trends in Data-Driven Dependency Parsing: Keynote lecture 3 at ICON 2009, at IIIT Hyderabad, by Joakim Nivre, Uppsala University, Uppsala.
Abstract
Dependency-based syntactic parsing has become a standard technique in natural language processing and a number of different models have been proposed in recent years, in particular data-driven models that can be trained using syntactically annotated corpora, or treebanks. Most of these models can be characterized as either graph-based or transition-based. Graph-based models learn to score entire dependency trees and use exact search to find the best tree for a given input sentence. Transition-based models learn to score local parsing actions and use greedy search to find the best sequence of actions for a given input sentence. Both types of models give state-of-the-art accuracy but a comparative error analysis reveals that they have different error distributions and that this difference can be tied to theoretical properties of the models. Recent work on data-driven parsing has therefore to a large extent been characterized by attempts to combine the strengths of the two models, either through the development of hybrid models or through system combination. In this talk, the speaker reviews the classic graph-based and transition-based models, characterizes their typical strengths and weaknesses, and reports on recent work aiming to improve the basic models.
organizing bodies
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23rd nov 2009
The technical schedule has been released. 
23rd nov 2009
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ICON-2009 Secretariat
Language Technologies Research Centre
International Institute of Information Technology
Gachibowli
Hyderabad - 500032, India
Tel: +91-40.23001412
Fax: +91-40.66531413
icon2009@iiit.ac.in