The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
MaltParser: A language-independent system for data-driven dependency parsing
Abstract
Parsing unrestricted text is useful for many language technology applications but requires parsing methods that are both robust and efficient. MaltParser is a language-independent system for data-driven dependency parsing that can be used to induce a parser for a new language from a treebank sample in a simple yet flexible manner. Experimental evaluation confirms that MaltParser can achieve robust, efficient and accurate parsing for a wide range of languages without language-specific enhancements and with rather limited amounts of training data.
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Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Head-Driven Statistical Models for Natural Language Parsing
Collins, M. (2003) · Computational Linguistics · doi:10.1162/089120103322753356 · Cited by 1,826
(1999) · Cited by 1,521
Probability Estimates for Multi-class Classification by Pairwise Coupling
Wu, T., Lin, C., & Weng, R. C. (2004) · Journal of Machine Learning Research · doi:10.5555/1005332.1016791 · Cited by 1,468
Dependency Syntax: Theory and Practice
Mel’čuk, I. (1987) · Medical Entomology and Zoology · Cited by 1,417
TnT: a statistical part-of-speech tagger
Brants, T. (2000) · Proceedings of the sixth conference on Applied natural language processing - · doi:10.3115/974147.974178 · Cited by 1,329
CoNLL-X shared task on multilingual dependency parsing
Buchholz, S., & Marsi, E. (2006) · Proceedings of the Tenth Conference on Computational Natural Language Learning - CoNLL-X '06 · doi:10.3115/1596276.1596305 · Cited by 963
Self-citationCoarse-to-fine n-best parsing and MaxEnt discriminative reranking
Charniak, E., & Johnson, M. (2005) · Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05 · doi:10.3115/1219840.1219862 · Cited by 872
Online large-margin training of dependency parsers
McDonald, R., Crammer, K., & Pereira, F. (2005) · Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05 · doi:10.3115/1219840.1219852 · Cited by 791
Cited by
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Algorithms for Deterministic Incremental Dependency Parsing
Nivre, J. (2008) · Computational Linguistics · doi:10.1162/coli.07-056-r1-07-027 · Cited by 435
Self-citationTesnière, L. (2015) · John Benjamins Publishing Company eBooks · doi:10.1075/z.185 · Cited by 383
A Survey of Paraphrasing and Textual Entailment Methods
Androutsopoulos, I., & Malakasiotis, P. (2010) · Journal of Artificial Intelligence Research · doi:10.1613/jair.2985 · Cited by 178
Dependency parsing of learner English
Huang, Y., Murakami, A., Alexopoulou, T., & Korhonen, A. (2018) · International Journal of Corpus Linguistics · doi:10.1075/ijcl.16080.hua · Cited by 68
Metadata
- Authors
- NIVRE, J., HALL, J., NILSSON, J., CHANEV, A., ERYİGİT, G., KÜBLER, S., MARINOV, S., & MARSI, E.
- Venue
- Natural Language Engineering
- Publisher
- Cambridge University Press (CUP)
- Published
- 2007-01-12
- Volume
- 13
- Issue
- 2
- Pages
- 95-135
- ISSN
- 1351-3249 (ISSN-L)
- 1469-8110
- OpenAlex
- W1568793342
- Cited by
- 801
- References
- 41
- FWCI
- 57.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- NIVRE, J., HALL, J., NILSSON, J., CHANEV, A., ERYİGİT, G., KÜBLER, S., MARINOV, S., & MARSI, E. (2007). MaltParser: A language-independent system for data-driven dependency parsing. Natural Language Engineering. https://doi.org/10.1017/s1351324906004505
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