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# Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms» · page 6

647 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/collins-2002-discriminative-training-methods-hidden-markov/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-5/) · **6** · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-7/)

1. [Part-of-Speech Tagging in Context](https://aclanthology.org/C04-1080/) *— 2004 · COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics*
2. [SVMTool: A general POS Tagger Generator Based on Support Vector Machines](https://aclanthology.org/L04-1373/) *— 2004 · Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC'04)*
3. [Trained Named Entity Recognition using Distributional Clusters](https://aclanthology.org/W04-3234/) *— 2004 · Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing*
4. [Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech](https://aclanthology.org/P04-1086/) *— 2004 · Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04)*
5. [A SNoW Based Supertagger with Application to NP Chunking](https://aclanthology.org/P03-1064/) *— 2003 · Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics*
6. [Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network](https://aclanthology.org/N03-1033/) *— 2003 · Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics*
7. [Investigating GIS and Smoothing for Maximum Entropy Taggers](https://aclanthology.org/E03-1071/) *— 2003 · 10th Conference of the European Chapter of the Association for Computational Linguistics*
8. [Shallow Parsing with Conditional Random Fields](https://aclanthology.org/N03-1028/) *— 2003 · Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics*
9. [Supersense Tagging of Unknown Nouns in WordNet](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2003-ciaramita-supersense-tagging-unknown-nouns-wordnet/) *— our card · 2003 · Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing*
10. agerri-2014-multilingual-efficient-easy-nlp-processing
11. an-2019-eusp-easy-use-semantic-parsing
12. aufrant-2016-ne-nous-arretons-pas-en
13. bartenlian-2017-adaptation-au-domaine-pour-l
14. bawden-2016-boosting-efficient-model-selection-syntactic
15. bengoetxea-2014-wordnet-semantic-classes-dependency-parsing
16. bjorkelund-2016-how-train-dependency-parsers-inexact
17. bonet-2010-robust-estimation-feature-weights-statistical
18. cao-2012-sample-selection-large-scale-mt
19. chan-2008-online-cascaded-approach-biomedical-named
20. chang-2013-dual-coordinate-descent-algorithms-efficient
21. chen-2011-improving-part-speech-tagging-context
22. chen-2012-higher-order-constituent-parsing-parser
23. cherry-2009-news-2009-machine-transliteration-shared
24. cherry-2011-joint-training-dependency-parsing-filters
25. ciaramita-2004-multi-component-word-sense-disambiguation
26. ciaramita-2010-adaptive-parameters-entity-recognition-perceptron
27. ciobanu-2014-predicting-romanian-stress-assignment
28. coppola-2011-simple-semi-supervised-learning-prepositional
29. cortes-2014-learning-ensembles-structured-prediction-rules
30. dinu-2013-sequence-tagging-verb-conjugation-romanian
31. dinu-2014-machine-learning-model-assess-complexity
32. do-2015-apprentissage-discriminant-des-modeles-continus
33. dror-2016-structured-weighted-violations-perceptron-algorithm
34. duan-2014-that-s-not-what-i
35. freitag-2009-name-transliteration-bidirectional-perceptron-edit
36. fujinuma-2017-substring-frequency-features-segmentation-japanese
37. gandhe-2013-surface-text-based-dialogue-models
38. gesmundo-2011-classification-de-sequences-bidirectionnelles-pour
39. gesmundo-2012-hadoopperceptron-toolkit-distributed-perceptron-training
40. gesmundo-2014-undirected-machine-translation-discriminative-reinforcement
41. gojenola-2014-ixamed-applying-freeling-perceptron-sequential
42. gorman-2015-automated-morphological-analysis-clinical-language
43. gratian-2018-braint-iest-2018-fine-tuning
44. grave-2014-convex-relaxation-weakly-supervised-relation
45. hagiwara-2013-accurate-word-segmentation-transliteration-language
46. haponchyk-2019-study-latent-structured-prediction-approaches
47. haulrich-2010-transition-based-parsing-confidence-weighted
48. he-2012-comparison-improvement-online-learning-algorithms
49. higashiyama-2013-developing-ml-based-systems-extract
50. hokamp-2014-modeling-language-proficiency-implicit-feedback
51. huet-2009-ts3-improved-version-bilingual-concordancer
52. hulden-2013-finite-state-applications-javascript
53. iwakura-2011-named-entity-recognition-method-based
54. iwakura-2013-boosted-semi-markov-perceptron
55. jardim-2021-multilingual-email-zoning
56. jehl-2019-learning-neural-sequence-sequence-models
57. jiampojamarn-2006-biomedical-term-recognition-perceptron-hmm
58. jiang-2015-automatic-adaptation-annotations
59. judea-2017-event-argument-identification-dependency-graphs
60. jyothi-2012-large-scale-discriminative-language-model
61. karason-2023-is-part-speech-tagging-solved
62. kato-2016-transition-based-left-corner-parsing
63. katona-2014-szte-nlp-clinical-text-analysis
64. kayal-2017-tagging-funding-agencies-grants-scientific
65. kepler-2010-variable-length-markov-models-ambiguous
66. kim-2015-stacked-generalization-medical-concept-extraction
67. kiritchenko-2011-lexically-triggered-hidden-markov-models
68. konstas-2015-semantic-role-labeling-improves-incremental
69. kummerfeld-2009-faster-parsing-supertagging-model-estimation
70. lai-2011-empirical-comparisons-various-discriminative-language
71. lang-2011-scalable-probabilistic-classifier-language-modeling
72. li-2011-improving-chinese-pos-tagging-dependency
73. libovicky-2016-neural-scoring-function-mst-parser
74. liu-2010-exploiting-discriminative-language-models-reranking
75. liu-2011-unified-smt-framework-combining-mira
76. liu-2012-expected-error-minimization-ultraconservative-update
77. liu-2024-effect-data-partitioning-strategy-model
78. lluis-2014-shortest-path-method-arc-factored
79. loftsson-2013-tagging-past-experiments-saga-corpus
80. ma-2013-semantic-annotation-specific-domains-rich
81. marco-2014-open-source-part-speech-tagger
82. massung-2016-meta-unified-toolkit-text-retrieval
83. mehdad-2016-extractive-summarization-under-strict-length
84. meng-2012-discriminative-boosting-dictionary-raw-text
85. merity-2011-frontier-pruning-shift-reduce-ccg
86. mihalcea-2007-unt-yahoo-supersenselearner-combining-senselearner
87. minkov-2012-discriminative-learning-joint-template-filling
88. mishra-2017-pos-tagging-resource-poor-languages
89. miyao-2008-exact-inference-multi-label-classification
90. murawaki-2010-semantic-classification-automatically-acquired-nouns
91. murawaki-2012-semi-supervised-noun-compound-analysis
92. neubig-2016-optimization-statistical-machine-translation-survey
93. nguyen-2007-multilingual-dependency-analysis-system-online
94. nguyen-2011-supervised-semi-supervised-sequence-learning
95. nunez-2018-analyse-morpho-syntaxique-en-presence
96. pantel-2014-smart-selection
97. persson-2009-text-categorization-predicate-argument-structures
98. pitler-2012-attacking-parsing-bottlenecks-unlabeled-data
99. puccinelli-2017-pos-taggers-wild-case-study
100. qian-2014-2-slave-dual-decomposition-generalized

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-5/) · **6** · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-7/)

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