We introduce a system for anaphora resolution for German that uses various resources in order to develop a real system as opposed to systems based on idealized assumptions, e.g. the use of true mentions only or perfect parse trees and perfect morphology. The components that we use to replace such idealizations comprise a full-fledged morphology, a Wikipedia-based named entity recognition, a rule-based dependency parser and a German wordnet. We show that under these conditions coreference resolution is (at least for German) still far from being perfect. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Klenner, M., Fahrni, A., & Sennrich, R. (2010). Real anaphora resolution is hard: The case of German. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6231 LNAI, pp. 109–116). https://doi.org/10.1007/978-3-642-15760-8_15
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