Abstract
In this paper we focus on anaphora resolution for German, a highly inflected language which also allows for closed form compounds (i.e. compounds without spaces). Especially, we describe a system that only uses real preprocessing components, e.g. a dependency parser, a two-level morphological analyser etc. We trace the performance drop occurring under these conditions back to underspecification and ambiguity at the morphological level. A demanding subtask of anaphora resolution are the so-called bridging anaphora, a special variant of nominal anaphora where the heads of the coreferent noun phrases do not match. We experiment with two different resources in order to find out how to cope best with this problem.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Daelemans, W., Zavrel, J., van der Sloot, K., van den Bosch, A.: TiMBL: Tilburg Memory-Based Learner (2004)
Hamp, B., Feldweg, H.: GermaNet—a Lexical-Semantic Net for German. In: Proc. of ACL Workshop Automatic Information Extraction and Building of Lexical Semantic Resources for NLP Applications (1997)
Hinrichs, E., Filippova, K., Wunsch, H.: A Data-driven Approach to Pronominal Anaphora Resolution in German. In: Proc. of RANLP, Borovets, Bulgaria (2005)
Klenner, M., Ailloud, E.: Enhancing Coreference Clustering. In: Johansson, C. (ed.) Proc. of the Second Workshop on Anaphora Resolution (WAR II), Bergen, Norway. NEALT Proceedings Series, vol. 2 (2008)
Klenner, M., Ailloud, E.: Optimization in Coreference Resolution Is Not Needed: A Nearly-Optimal Zero-One ILP Algorithm with Intensional Constraints. In: Proc. of the EACL (2009)
Luo, X.: On coreference resolution performance metrics. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, Association for Computational Linguistics Morristown, NJ, USA, pp. 25–32 (2005)
Naumann, K.: Manual for the Annotation of Indocument Referential Relations. Electronic document (2006), http://www.sfs.uni-tuebingen.de/~de_tuebadz.shtml
Schiehlen, M.: Optimizing algorithms for pronoun resolution. In: Proc. of the 20th International Conference on Computational Linguistics (2004)
Schmid, H.: Probabilistic Part–of–Speech Tagging Using Decision Trees. In: Proc. of the Conference on New Methods in Language Processing, Manchester, UK (1994)
Schneider, G.: Hybrid Long-Distance Functional Dependency Parsing. Doctoral Thesis, Institute of Computational Linguistics, Univ. of Zurich. (2008)
Sennrich, R., Schneider, G., Volk, M., Warin, M.: A New Hybrid Dependency Parser for German. In: Proc. of the German Society for Computational Linguistics and Language Technology 2009 (GSCL 2009), Potsdam, Germany, pp. 115–124 (2009)
Soon, W., Ng, H., Lim, D.: A Machine Learning Approach to Coreference Resolution of Noun Phrases. Computational Linguistics 27(4), 521–544 (2001)
Telljohann, H., Hinrichs, E.W., Kübler, S.: The TüBa-D/Z Treebank: Annotating German with a Context-Free Backbone. In: Proc. of the Fourth Intern. Conf. on Language Resources and Evaluation, Lisbon, Portugal (2004)
Versley, Y.: A Constraint-based Approach to Noun Phrase Coreference Resolution in German Newspaper Text. In: Konferenz zur Verarbeitung Natürlicher Sprache, KONVENS (2006)
Wunsch, H., Kübler, S., Cantrell, R.: Instance Sampling Methods for Pronoun Resolution. In: Proc. of RANLP, Borovets, Bulgaria (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Klenner, M., Tuggener, D., Fahrni, A., Sennrich, R. (2010). Anaphora Resolution with Real Preprocessing. In: Loftsson, H., Rögnvaldsson, E., Helgadóttir, S. (eds) Advances in Natural Language Processing. NLP 2010. Lecture Notes in Computer Science(), vol 6233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14770-8_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-14770-8_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14769-2
Online ISBN: 978-3-642-14770-8
eBook Packages: Computer ScienceComputer Science (R0)