The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithms
Open accessAbstract
We describe new algorithms for training tagging models, as an alternative to maximum-entropy models or conditional random fields (CRFs). The algorithms rely on Viterbi decoding of training examples, combined with simple additive updates. We describe theory justifying the algorithms through a modification of the proof of convergence of the perceptron algorithm for classification problems. We give experimental results on part-of-speech tagging and base noun phrase chunking, in both cases showing improvements over results for a maximum-entropy tagger.
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Cites
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280
Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
Cited by
(2015) · Cited by 2,857
Richardson, M., & Domingos, P. (2006) · Machine Learning · doi:10.1007/s10994-006-5833-1 · Cited by 2,676
Shallow parsing with conditional random fields
Sha, F., & Pereira, F. (2003) · Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03 · doi:10.3115/1073445.1073473 · Cited by 1,246
Neural Network Methods for Natural Language Processing
Goldberg, Y. (2017) · Synthesis Lectures on Human Language Technologies · doi:10.1007/978-3-031-02165-7 · Cited by 821
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
Kiritchenko, S., Zhu, X., Cherry, C., & Mohammad, S. (2014) · Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) · doi:10.3115/v1/s14-2076 · Cited by 697
Metadata
- Authors
- Collins, M.
- Venue
- Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP '02
- Published
- 2002
- Volume
- 10
- Pages
- 1-8
- OpenAlex
- W2008652694
- Cited by
- 1,862
- References
- 2
- FWCI
- 28.54
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Collins, M. (2002). Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithms. Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP '02. https://doi.org/10.3115/1118693.1118694
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