Paper: Corpus-Based Induction Of Syntactic Structure: Models Of Dependency And Constituency

ACL ID P04-1061
Title Corpus-Based Induction Of Syntactic Structure: Models Of Dependency And Constituency
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of linear constituency. The product model outperforms both components on their respective evalu- ation metrics, giving the best published figures for un- supervised dependency parsing and unsupervised con- stituency parsing. We also demonstrate that the com- bined model works and is robust cross-linguistically, be- ing able to exploit either attachment or distributional reg- ularities that are salient in the data.