The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
Open accessAbstract
This paper presents results for a maximum-entropy-based part of speech tagger, which achieves superior performance principally by enriching the information sources used for tagging. In particular, we get improved results by incorporating these features: (i) more extensive treatment of capitalization for unknown words; (ii) features for the disambiguation of the tense forms of verbs; (iii) features for disambiguating particles from prepositions and adverbs. The best resulting accuracy for the tagger on the Penn Treebank is 96.86% overall, and 86.91% on previously unseen words.
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Cites
Foundations of statistical natural language processing
Manning, C. D., & Schütze, H. (1999) · Cited by 9,816
Self-citationA maximum entropy approach to natural language processing
Berger, A. L., Pietra, V. J. D., & Pietra, S. A. D. (1996) · doi:10.5555/234285.234289 · Cited by 3,065
Statistical Methods for Speech Recognition
Sun, D. X., & Jelinek, F. (1999) · Journal of the American Statistical Association · doi:10.2307/2670189 · Cited by 1,946
(1999) · Cited by 1,521
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
A Maximum Entropy Model for Part-Of-Speech Tagging
Ratnaparkhi, A. (1996) · Cited by 1,317
Maximum entropy models for natural language ambiguity resolution
Ratnaparkhi, A., & Marcus, M. P. (1998) · Scholarly Commons (University of Pennsylvania) · Cited by 422
TnT - A Statistical Part-of-Speech Tagger
Brants, T. (2000) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0003055 · Cited by 320
Periods, Capitalized Words, etc.
Mikheev, A. (2002) · Computational Linguistics · doi:10.1162/089120102760275992 · Cited by 94
Comparing a linguistic and a stochastic tagger
Samuelsson, C., & Voutilainen, A. (1997) · Annual Meeting of the Association for Computational Linguistics (ACL) · doi:10.3115/976909.979649 · Cited by 68
Cited by
Wang, Y.-C., Kraut, R., & Levine, J. M. (2012) · Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work · doi:10.1145/2145204.2145329 · Cited by 282
Information extraction from multi-institutional radiology reports
Hassanpour, S., & Langlotz, C. P. (2016) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2015.09.007 · Cited by 182
Detecting child grooming behaviour patterns on social media
Cano, A. E., Fernandez, M., & Alani, H. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-13734-6_30 · Cited by 79
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
Pang, B., Nijkamp, E., Han, W., Zhou, L., Liu, Y., & Tu, K. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.333 · Cited by 70
Goldstein, A., Grinstein-Dabush, A., Schain, M., Wang, H., Hong, Z., Aubrey, B., Nastase, S. A., Zada, Z., Ham, E., Feder, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46631-y · Cited by 64
Metadata
- Authors
- Toutanova, K., & Manning, C. D.
- Venue
- Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics -
- Published
- 2000
- Volume
- 13
- Pages
- 63-70
- OpenAlex
- W2003458432
- Cited by
- 939
- References
- 10
- FWCI
- 1.97
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Toutanova, K., & Manning, C. D. (2000). Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics -. https://doi.org/10.3115/1117794.1117802
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