Introduction to Data Driven Dependency Parsing

At ESSLLI 2007 in Dublin, August 13-17th

Instructors: Ryan McDonald and Joakim Nivre

Desription: Syntactic dependency representations of sentences have a long history in theoretical linguistics. Recently, they have found renewed interest in the computational parsing community due to their efficient computational properties and their ability to naturally model non-nested constructions, which is important in freer-word order languages such as Czech, Dutch, and German. This interest has led to a rapid growth in multilingual data sets and new parsing techniques. One modern approach to building dependency parsers, called data-driven dependency parsing, is to learn good and bad parsing decisions solely from labeled data, without the intervention of an underlying grammar. This course will cover: Slides (subject to change from Aug 13-17) Coarse Reader Links