Coreference for NLP applications

Abstract

This paper presents several techniques for performing automatic coreference annotation and performance results for each of them. To demonstrate that they can be applied to real-world data, we have built a simple question-answering system which uses the techniques. A system using coreference is compared to a baseline system with the result that the addition of the coreference annotation improves performance.