Customizing And Evaluating A Multilingual Discourse Module

In this paper, we first describe how we have customized our data-driven multilingual discourse module within our text understanding system for different languages and for a particular NLP application by utilizing hierarchically organized discourse KB's. Then, we report quantitative and qualitative findings from evaluating the system both with and without discourse processing, and discuss how resolving certain kinds of anaphora affects system performance.