Paper: Japanese Dependency Structure Analysis Based On Maximum Entropy Models

ACL ID E99-1026
Title Japanese Dependency Structure Analysis Based On Maximum Entropy Models
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

This paper describes a dependency structure analysis of Japanese sentences based on the maximum entropy mod- els. Our model is created by learning the weights of some features from a train- ing corpus to predict the dependency be- tween bunsetsus or phrasal units. The dependency accuracy of our system is 87.2% using the Kyoto University cor- pus. We discuss the contribution of each feature set and the relationship between the number of training data and the ac- curacy.