Using Coreference Resolution in Question Answering and How to Make the Best of It

Master Thesis

Coreference resolution is the task of finding different expressions that refer to the same entity. The availability of coreference information is beneficial for several applications including question answering. In this project, we want to examine the effect of state of the art supervised and unsupervised coreference resolvers in question answering systems by answering the following questions:

How good should a coreference resolver be in order to improve the performance of a QA system?

Due to the limited generalization of coreference resolvers, are unsupervised systems better suited for QA?

Would it be more beneficial for QA if we customized coreference resolvers for only a subset of noun phrases (e.g. only resolving pronouns)?