About COREA Publications

Results

Demo

Internal

 


Coreference resolution is a key ingredient for the automatic interpretation of text. It has been studied mainly from a linguistic perspective, with an emphasis on establishing potential antededents for pronouns. Practical applications, such as Information Extraction (IE), summarization and Question Answering (QA), require accurate identification of coreference relations between noun phrases in general. Computational systems for assigning such relations automatically, require the availability of a sufficient amount of annotated data for training and testing. For Dutch, annotated data is scarce and coreference resolution systems are lacking.

In this COREA project, a two-year project which started in July 2005, we aim to develop a robust system for assigning such relations automatically, and we will investigate the effect of making coreference relations explicit on the accuracy of systems for for IE and QA. We will annotate a limited amount of application-specific corpus material, which is required for the evaluation of the coreference resolution system in the context of IE and QA.