Abstract
We present a machine learning-based method for jointly labeling POS tags and named entities. This joint labeling is performed by utilizing factor graphs. The variables of part of speech and named entity labels are connected by factors so the tagger jointly determines the best labeling for the two labeling tasks. Using the feature sets of SZTENER and the POS-tagger magyarlanc, we built a model that is able to outperform both of the original taggers.
This work was supported in part by the National Innovation Office of the Hungarian government within the framework of the projects BELAMI and MASZEKER.
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
Kripke, S.: Naming and Necessity. Basil Blackwell, Oxford (1980)
McCallum, A.K.: Mallet: A machine learning for language toolkit (2002), http://mallet.cs.umass.edu
McCallum, A., Schultz, K., Singh, S.: FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs. In: Advances in Neural Information Processing Systems, vol. 22, pp. 1–9 (2009)
Mayfield, J., Mcnamee, P., Piatko, C.: Named entity recognition using hundreds of thousands of features. In: Proceedings of CoNLL 2003, pp. 184–187 (2003)
Chieu, H.L., Ng, H.T.: Named entity recognition with a maximum entropy approach. In: Daelemans, W., Osborne, M. (eds.) Proceedings of CoNLL 2003, Edmonton, Canada, pp. 160–163 (2003)
Florian, R., Ittycheriah, A., Jing, H., Zhang, T.: Named entity recognition through classifier combination. In: Daelemans, W., Osborne, M. (eds.) Proceedings of CoNLL 2003, Edmonton, Canada, pp. 168–171 (2003)
Miller, S., Crystal, M., Fox, H., Ramshaw, L., Schwartz, R., Stone, R., Weischedel, R., Group, T.A.: Algorithms That Learn To Extract Information BBN: Description of The Sift System as Used For MUC-7. In: Proceedings of MUC-7 (1998)
Lafferty, J.D., McCallum, A., Pereira, F.C.N.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: Proceedings of the Eighteenth International Conference on Machine Learning, ICML 2001, pp. 282–289. Morgan Kaufmann Publishers Inc., San Francisco (2001)
Tjong Kim Sang, E.F.: Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition. In: Proceedings of CoNLL 2002, Taipei, Taiwan, pp. 155–158 (2002)
Tjong Kim Sang, E.F., De Meulder, F.: Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition. In: Daelemans, W., Osborne, M. (eds.) Proceedings of CoNLL 2003, Edmonton, Canada, pp. 142–147 (2003)
Szarvas, Gy., Farkas, R., Kocsor, A.: A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms. In: Todorovski, L., Lavrač, N., Jantke, K.P. (eds.) DS 2006. LNCS (LNAI), vol. 4265, pp. 267–278. Springer, Heidelberg (2006)
Halácsy, P., Kornai, A., Oravecz, C.: HunPos: an open source trigram tagger. In: Proceedings of the ACL 2007 Demo and Poster Sessions, pp. 209–212. Association for Computational Linguistics, Stroudsburg (2007)
Toutanova, K., Klein, D., Manning, C.D., Singer, Y.: Feature-rich part-of-speech tagging with a cyclic dependency network. In: Proceedings of NAACL 2003, pp. 173–180. Association for Computational Linguistics, Stroudsburg (2003)
Csendes, D., Csirik, J., Gyimóthy, T.: The Szeged Corpus. A POS Tagged and Syntactically Annotated Hungarian Natural Language Corpus. In: Hansen-Schirra, S., Oepen, S., Uszkoreit, H. (eds.) COLING 2004 5th International Workshop on Linguistically Interpreted Corpora, Geneva, Switzerland, pp. 19–22 (2004)
Szarvas, Gy., Farkas, R., Felföldi, L., Kocsor, A., Csirik, J.: A highly accurate Named Entity corpus for Hungarian. In: Proceedings of LREC 2006 (2006)
Zsibrita, J., Vincze, V., Farkas, R.: Ismeretlen kifejezések és a szófaji egyértelműsítés. In: Tanács, A., Vincze, V. (eds.) MSzNy 2010 – VII. Magyar Számítógépes Nyelvészeti Konferencia, Szeged, Hungary, University of Szeged, pp. 275–283 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Móra, G., Vincze, V. (2012). Joint Part-of-Speech Tagging and Named Entity Recognition Using Factor Graphs. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2012. Lecture Notes in Computer Science(), vol 7499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32790-2_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-32790-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32789-6
Online ISBN: 978-3-642-32790-2
eBook Packages: Computer ScienceComputer Science (R0)