We present a model for automatically predicting information status labels for German referring expressions. We train a CRF on manually annotated phrases, and predict a fine-grained set of labels. We achieve an accuracy score of 69.56% on our most detailed label set, 76.62% when gold standard coreference is available.

We present the Crotal system, used in the CoNLL09 Shared Task. It is based on XCRF, a highly configurable CRF library which can take into account hierarchical relations. This system had never been used in such a context thus the performance is average, but we are confident that there is room for progression.

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