Abstract
In this paper, we introduce a module that combines person name recognition and reference resolution for German. Our data consists of a corpus of Alpine texts. This text type poses specific challenges because of a multitude of toponyms, some of which interfere with person names. Our reference resolution algorithm outputs person entities based on their last names and first names along with their associated features (jobs, addresses, academic titles).
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
Notes
- 1.
- 2.
The first two restrictions build on the assumption previously made by Volk and Clematide (2001) that last names are generally not introduced in isolated form.
- 3.
Our corpus contains person name instances like Peter Eimer (‘Peter Bucket’), Paul König (‘Paul King’), Herr Sand (‘Mister Sand’), or M. Held (‘M. Hero’).
- 4.
- 5.
Note that both combining multiple stand-alone occurrences into a single entity and merging stand-alone occurrences with distinct FFNs or AFNs is potentially erroneous. We pursued this procedure to obtain a consolidated collection of person entities.
- 6.
We did not compare our approach with other PNR systems because we aimed for a more fine-grained classification.
References
HLT-NAACL 2003: Proceedings of the Seventh Conference on Computational Natural Language Learning (CoNLL 2003) (2003)
Bubenhofer, N., Volk, M., Althaus, A., Jitca, M., Bangerter, M., Sennrich, R.: Text+Berg-Korpus (Release 145). XML-Format (2011), digitale Edition SAC-Jahrbuch 1864–1923 und Die Alpen 1925–2009
Faruqui, M., Padó, S.: Training and evaluating a German named entity recognizer with semantic generalization. In: Proceedings of KONVENS 2010, Saarbrücken, Germany (2010)
Finkel, J., Manning, C.: Nested named entity recognition. In: Proceedings of EMNLP, Singapore, pp. 141–150 (2009)
Florian, R., Ittycheriah, A., Jing, H., Zhang, T.: Named entity recognition through classifier combination. In: HLT-NAACL 2003: Proceedings of the Seventh Conference on Computational Natural Language Learning (CoNLL 2003) [1], pp. 168–171 (2003)
Jurafsky, D., Martin, J.H.: Speech and language processing. In: An Introduction to Natural Language Processing, Computational Linguistic and Speech Recognition, 2nd ed. Pearson Education International, Upper Saddle River (2009)
Rössler, M.: Corpus-based learning of lexical resources for German named entity recognition. In: LREC-2004: Fourth International Conference on Language Resources and Evaluation, Proceedings, Lisbon, Portugal (2004)
Sennrich, R.: Combining multi-engine machine translation and online learning through dynamic phrase tables. In: Proceedings of EAMT 2011, Leuven, Belgium, pp. 89–96 (2011)
Tjong Kim Sang, E.F., De Meulder, F.: Introduction to the CoNLL-2003 shared task: language-independent named entity recognition. In: HLT-NAACL 2003: Proceedings of the Seventh Conference on Computational Natural Language Learning (CoNLL 2003) [1], pp. 142–147 (2003)
Volk, M., Clematide, S.: Learn - filter - apply - forget. mixed approaches to named entity recognition. In: 6th International Workshop on Applications of Natural Language for Informations Systems, Madrid, Spain (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Ebling, S., Sennrich, R., Klaper, D. (2014). Digging for Names in the Mountains: Combined Person Name Recognition and Reference Resolution for German Alpine Texts. In: Vetulani, Z., Mariani, J. (eds) Human Language Technology Challenges for Computer Science and Linguistics. LTC 2011. Lecture Notes in Computer Science(), vol 8387. Springer, Cham. https://doi.org/10.1007/978-3-319-08958-4_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-08958-4_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08957-7
Online ISBN: 978-3-319-08958-4
eBook Packages: Computer ScienceComputer Science (R0)