The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Non-projective dependency parsing using spanning tree algorithms
Open accessAbstract
We formalize weighted dependency parsing as searching for maximum spanning trees (MSTs) in directed graphs. Using this representation, the parsing algorithm of Eisner (1996) is sufficient for searching over all projective trees in O(n3) time. More surprisingly, the representation is extended naturally to non-projective parsing using Chu-Liu-Edmonds (Chu and Liu, 1965; Edmonds, 1967) MST algorithm, yielding an O(n2) parsing algorithm. We evaluate these methods on the Prague Dependency Treebank using online large-margin learning techniques (Crammer et al., 2003; McDonald et al., 2005) and show that MST parsing increases efficiency and accuracy for languages with non-projective dependencies.
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Dependency tree kernels for relation extraction
Culotta, A., & Sorensen, J. (2004) · Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04 · doi:10.3115/1218955.1219009 · Cited by 814
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
Self-citationLearning Syntactic Patterns for Automatic Hypernym Discovery
Snow, R., Jurafsky, D. S., & Ng, A. Y. (2004) · neural information processing systems · Cited by 658
Three new probabilistic models for dependency parsing: an exploration
Eisner, J. M. (1996) · Proceedings of the 16th conference on Computational linguistics - · doi:10.3115/992628.992688 · Cited by 609
Statistical Dependency Analysis with Support Vector Machines
Yamada, H., & Matsumoto, Y. (2003) · Cited by 600
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Statistical machine translation
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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
Ensemble of feature sets and classification algorithms for sentiment classification
Xia, R., Zong, C., & Li, S. (2011) · Information Sciences · doi:10.1016/j.ins.2010.11.023 · Cited by 583
Algorithms for Deterministic Incremental Dependency Parsing
Nivre, J. (2008) · Computational Linguistics · doi:10.1162/coli.07-056-r1-07-027 · Cited by 435
The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages
Hajič, J., Štěpánek, J., Straňák, P., Surdeanu, M., Xue, N., Zhang, Y., Ciaramita, M., Johansson, R., Kawahara, D., Martí, M. A., et al. (2009) · Proceedings of the Thirteenth Conference on Computational Natural Language Learning Shared Task - CoNLL '09 · doi:10.3115/1596409.1596411 · Cited by 339
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Metadata
- Authors
- McDonald, R., Pereira, F., Ribarov, K., & Hajič, J.
- Venue
- Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05
- Published
- 2005
- Pages
- 523-530
- OpenAlex
- W2122922578
- Cited by
- 847
- References
- 21
- FWCI
- 24.09
- Type
- conference paper
- Language
- en
- Open access
- gold
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