An empirically based system for processing definite descriptions
Computational Linguistics
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
A corpus-based investigation of definite description use
Computational Linguistics
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Learning to resolve bridging references
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Resolving bridging references in unrestricted text
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
Discourse annotation and semantic annotation in the GNOME corpus
DiscAnnotation '04 Proceedings of the 2004 ACL Workshop on Discourse Annotation
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
Evaluating hybrid versus data-driven coreference resolution
DAARC'07 Proceedings of the 6th discourse anaphora and anaphor resolution conference on Anaphora: analysis, algorithms and applications
Supervised noun phrase coreference research: the first fifteen years
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
SemEval-2010 task 1: Coreference resolution in multiple languages
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
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We discuss bridge relations in Dutch between two textual referents across six different text genres. After briefly presenting the annotation guidelines and inter-annotation agreement results, we conduct an in-depth manual analysis of the different types of bridge relations found in our data sets. This analysis reveals that for all genres bridging references stand mostly in a class relationship, which is exactly the kind of information represented in a WordNet hierarchy. This inspired us to investigate to what extent a standard coreference resolution system for Dutch is capable of resolving bridge relations across different text genres and study the effect of adding semantic features encoding WordNet information. Our results reveal modest improvements when using Dutch WordNet LCS information for all but one genre.