Automatically Acquiring Fine-Grained Information Status Distinctions in German
Aoife Cahill, Arndt Riester · 2012
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. 1