Paper: Dependency Parsing and Projection Based on Word-Pair Classification

ACL ID P10-1002
Title Dependency Parsing and Projection Based on Word-Pair Classification
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

In this paper we describe an intuitionistic method for dependency parsing, where a classifier is used to determine whether a pair of words forms a dependency edge. And we also propose an effective strategy for dependency projection, where the de- pendency relationships of the word pairs in the source language are projected to the word pairs of the target language, leading to a set of classification instances rather than a complete tree. Experiments show that, the classifier trained on the projected classification instances significantly out- performs previous projected dependency parsers. More importantly, when this clas- sifier is integrated into a maximum span- ning tree (MST) dependency parser, ob- vious improvement is obtained over the MST baseline.