  In this paper, we demonstrate the importance of coreference resolution for
natural language processing on the example of the TAC Slot Filling shared task.
We illustrate the strengths and weaknesses of automatic coreference resolution
systems and provide experimental results to show that they improve performance
in the slot filling end-to-end setting. Finally, we publish KBPchains, a
resource containing automatically extracted coreference chains from the TAC
source corpus in order to support other researchers working on this topic.
