The DOI matches its OpenAlex record; 8 of the 8 references it cites were found in a registry or an index.
SVMTool: A general POS Tagger Generator Based on Support Vector Machines
Open accessAbstract
This paper presents the SVMTool, a simple, flexible, effective and efficient part-of-speech tagger based on Support Vector Machines.The SVMTool offers a fairly good balance among these properties which make it really practical for current NLP applications.It is very easy to use and easily configurable so as to perfectly fit the needs of a number of different applications.Results are also very competitive, achieving an accuracy of 97.16% for English on the Wall Street Journal corpus.It has been also successfully applied to Spanish exhibiting a similar performance.A first release of the SVMTool Perl prototype is now freely available for public use.A most efficient C++ version is coming very soon.
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Cites
Advances in kernel methods: support vector learning
Schölkopf, B., Burges, C. J. C., & Smola, A. J. (1999) · doi:10.5555/299094 · Cited by 5,789
Making Large-Scale SVM Learning Practical
Joachims, T. (1998) · RePEc: Research Papers in Economics · doi:10.17877/de290r-14262 · Cited by 4,411
An Introduction to Support Vector Machines
Cristianini, N., & Shawe-Taylor, J. S. (2000) · ePrints Soton (University of Southampton) · Cited by 4,115
Feature-rich part-of-speech tagging with a cyclic dependency network
Toutanova, K., Klein, D., Manning, C. D., & Singer, Y. (2003) · Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03 · doi:10.3115/1073445.1073478 · Cited by 2,844
Collins, M. (2002) · Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP '02 · doi:10.3115/1118693.1118694 · Cited by 1,862
TnT - A Statistical Part-of-Speech Tagger
Brants, T. (2000) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0003055 · Cited by 320
Fast and accurate part-of-speech tagging: The SVM approach revisited.
Giménez, J., & Màrquez, L. (2003) · Cited by 93
Self-citationUnknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines.
Nakagawa, T., Kudo, T., & Matsumoto, Y. (2001) · Cited by 69
Cited by
Natural Language Processing (almost) from Scratch
Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., & Kuksa, P. P. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1103.0398 · Cited by 4,962
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Ma, X., & Hovy, E. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p16-1101 · Cited by 2,567
Exploiting semantic role labeling, WordNet and Wikipedia for coreference resolution
Ponzetto, S. P., & Strube, M. (2006) · Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics - · doi:10.3115/1220835.1220860 · Cited by 257
We Need to Talk about Standard Splits
Gorman, K., & Bedrick, S. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1267 · Cited by 99
Metadata
- Authors
- Giménez, J., & Màrquez, L.
- Venue
- Language Resources and Evaluation Conference (LREC)
- Published
- 2004-05-01
- OpenAlex
- W2399720833
- Cited by
- 339
- References
- 8
- FWCI
- 9.32
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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