Automated Acquisition of Anaphora Resolution Strategies

Empirical Methods in Discourse: Interpretation and Generation

Volume

Papers from the 1995 AAAI Spring Symposium

Contents

We describe one approach to build an automatically trainable anaphora resolution system. In this approach, we used Japanese newspaper articles tagged with discourse information as training examples for a machine learning algorithm which employs the C4.5 decision tree algorithm by Quinlan (Quinlan 1993). Then, we evaluate and compare the results of several variants of the machine learning-based approach with those of our existing anaphora resolution system which uses manually-designed knowledge sources. Finally, we will compare our algorithms with existing theories of anaphora, in particular, Japanese zero pronouns.