[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms»

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

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

1. [Mapping the Course for Prompt-based Structured Prediction](https://aclanthology.org/2026.eacl-long.160/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Morphological Parsing for Media Lengua: When Accessibility Matters More Than State-of-the-Art](https://aclanthology.org/2026.computel-1.1/) *— 2026 · Proceedings of the Ninth Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL-9)*
3. [Promptly Predicting Structures: The Return of Inference](https://aclanthology.org/2024.naacl-long.7/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
4. [Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation](https://aclanthology.org/2023.eacl-main.10/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
5. [Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation](https://aclanthology.org/2022.tacl-1.23/) *— 2022 · Transactions of the Association for Computational Linguistics*
6. [Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction](https://md.mova.elamur.ai/free/en/docs/papers/jie-2022-learning-reason-deductively-math-word/) *— our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss](https://aclanthology.org/2021.tacl-1.78/) *— 2021 · Transactions of the Association for Computational Linguistics*
8. [Structured Prediction as Translation between Augmented Natural Languages](https://arxiv.org/abs/2101.05779) *— 2021 · arXiv:2101.05779 · International Conference on Learning Representations (ICLR) 2021*
9. [Word prediction in computational historical linguistics](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/268) *— 2021 · Journal of Language Modelling*
10. [Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing](https://aclanthology.org/2020.emnlp-main.172/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
11. [Masking as an Efficient Alternative to Finetuning for Pretrained Language Models](https://aclanthology.org/2020.emnlp-main.174/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
12. [Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding](https://aclanthology.org/2020.emnlp-main.455/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
13. [On the Discrepancy between Density Estimation and Sequence Generation](https://aclanthology.org/2020.spnlp-1.10/) *— 2020 · Proceedings of the Fourth Workshop on Structured Prediction for NLP*
14. [Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses](https://aclanthology.org/2020.emnlp-main.177/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
15. [Quantifying the Contextualization of Word Representations with Semantic Class Probing](https://aclanthology.org/2020.findings-emnlp.109/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
16. [Uncertainty-Aware Label Refinement for Sequence Labeling](https://aclanthology.org/2020.emnlp-main.181/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
17. [A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity](https://aclanthology.org/P19-1489/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
18. [Better Modeling of Incomplete Annotations for Named Entity Recognition](https://aclanthology.org/N19-1079/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
19. [Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles](https://aclanthology.org/W19-0417/) *— 2019 · Proceedings of the 13th International Conference on Computational Semantics - Long Papers*
20. [Exploring Graph-Algebraic CCG Combinators for Syntactic-Semantic AMR Parsing](https://aclanthology.org/R19-1014/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
21. [Improving Cross-Domain Chinese Word Segmentation with Word Embeddings](https://aclanthology.org/N19-1279/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
22. [Low-Resource Syntactic Transfer with Unsupervised Source Reordering](https://aclanthology.org/N19-1385/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
23. [Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing](https://aclanthology.org/J19-3005/) *— 2019 · Computational Linguistics*
24. [Neural Text Generation with Unlikelihood Training](https://arxiv.org/abs/1908.04319) *— 2019 · arXiv:1908.04319*
25. [Open Sesame: Getting inside BERT''s Linguistic Knowledge](https://aclanthology.org/W19-4825/) *— 2019 · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP*
26. [Right-wing German Hate Speech on Twitter: Analysis and Automatic Detection](https://arxiv.org/abs/1910.07518) *— 2019 · arXiv:1910.07518*
27. [Robustness to Capitalization Errors in Named Entity Recognition](https://aclanthology.org/D19-5531/) *— 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)*
28. [Sentiment Analysis of German Twitter](https://arxiv.org/abs/1911.13062) *— 2019 · arXiv:1911.13062*
29. [Structured Minimally Supervised Learning for Neural Relation Extraction](https://aclanthology.org/N19-1310/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
30. [Towards Making a Dependency Parser See](https://aclanthology.org/D19-1160/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
31. [We Need to Talk about Standard Splits](https://aclanthology.org/P19-1267/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
32. [A Challenge Set and Methods for Noun-Verb Ambiguity](https://aclanthology.org/D18-1277/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
33. [Contextual String Embeddings for Sequence Labeling](https://aclanthology.org/C18-1139/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
34. [DeepTC – An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments](https://aclanthology.org/L18-1403/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
35. [Developing New Linguistic Resources and Tools for the Galician Language](https://aclanthology.org/L18-1367/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
36. [Exploring the importance of context and embeddings in neural NER models for task-oriented dialogue systems](https://aclanthology.org/2018.icon-1.19/) *— 2018 · Proceedings of the 15th International Conference on Natural Language Processing*
37. [Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates](https://aclanthology.org/W18-5210/) *— 2018 · Proceedings of the 5th Workshop on Argument Mining*
38. [Graph Based Decoding for Event Sequencing and Coreference Resolution](https://aclanthology.org/C18-1309/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
39. [Identifying Speakers and Addressees in Dialogues Extracted from Literary Fiction](https://aclanthology.org/L18-1131/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
40. [Joint Part-of-Speech and Language ID Tagging for Code-Switched Data](https://aclanthology.org/W18-3201/) *— 2018 · Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching*
41. [Part of Speech Tagging: Shallow or Deep Learning?](https://nejlt.ep.liu.se/article/view/218) *— 2018 · Northern European Journal of Language Technology*
42. [RTM results for Predicting Translation Performance](https://aclanthology.org/W18-6458/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
43. [SoMeWeTa: A Part-of-Speech Tagger for German Social Media and Web Texts](https://aclanthology.org/L18-1106/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
44. [A General-Purpose Tagger with Convolutional Neural Networks](https://aclanthology.org/W17-4118/) *— 2017 · Proceedings of the First Workshop on Subword and Character Level Models in NLP*
45. [A Structured Learning Approach to Temporal Relation Extraction](https://aclanthology.org/D17-1108/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
46. [A Transition-based System for Universal Dependency Parsing](https://aclanthology.org/K17-3020/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
47. [Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems](https://aclanthology.org/E17-1047/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
48. [Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization](https://aclanthology.org/I17-1094/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
49. [Character-Aware Neural Morphological Disambiguation](https://aclanthology.org/P17-2105/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
50. [Deep Learning Models For Multiword Expression Identification](https://aclanthology.org/S17-1006/) *— 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)*
51. [Deriving Consensus for Multi-Parallel Corpora: an English Bible Study](https://aclanthology.org/I17-2076/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
52. [End-to-End Neural Relation Extraction with Global Optimization](https://aclanthology.org/D17-1182/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
53. [Error-repair Dependency Parsing for Ungrammatical Texts](https://aclanthology.org/P17-2030/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
54. [Framing QA as Building and Ranking Intersentence Answer Justifications](https://aclanthology.org/J17-2005/) *— 2017 · Computational Linguistics*
55. [Incremental Discontinuous Phrase Structure Parsing with the GAP Transition](https://aclanthology.org/E17-1118/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
56. [Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data](https://aclanthology.org/E17-2052/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
57. [Joint UD Parsing of Norwegian Bokmål and Nynorsk](https://aclanthology.org/W17-0201/) *— 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics*
58. [Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision](https://aclanthology.org/D17-1252/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
59. [Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs](https://aclanthology.org/P17-1193/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [Predicting Translation Performance with Referential Translation Machines](https://aclanthology.org/W17-4759/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
61. [Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs](https://aclanthology.org/D17-1003/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
62. [Results of the fifth edition of the BioASQ Challenge](https://aclanthology.org/W17-2306/) *— 2017 · Proceedings of the 16th BioNLP Workshop*
63. [Semantic Dependency Parsing via Book Embedding](https://aclanthology.org/P17-1077/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Semi-supervised sequence tagging with bidirectional language models](https://arxiv.org/abs/1705.00108) *— 2017 · arXiv:1705.00108*
65. [Transition-Based Deep Input Linearization](https://aclanthology.org/E17-1061/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
66. [Unit Segmentation of Argumentative Texts](https://aclanthology.org/W17-5115/) *— 2017 · Proceedings of the 4th Workshop on Argument Mining*
67. [Universal Semantic Parsing](https://aclanthology.org/D17-1009/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
68. [Using Global Constraints and Reranking to Improve Cognates Detection](https://aclanthology.org/P17-1181/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [Varying Linguistic Purposes of Emoji in (Twitter) Context](https://aclanthology.org/P17-3022/) *— 2017 · Proceedings of ACL 2017, Student Research Workshop*
70. [A Comparative Study of Minimally Supervised Morphological Segmentation](https://aclanthology.org/J16-1003/) *— 2016 · Computational Linguistics*
71. [A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu](https://aclanthology.org/C16-1039/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
72. [A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation](https://aclanthology.org/P16-1206/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [A Search-Based Dynamic Reranking Model for Dependency Parsing](https://aclanthology.org/P16-1132/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
74. [AMR Parsing with an Incremental Joint Model](https://aclanthology.org/D16-1065/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
75. [Abstractive News Summarization based on Event Semantic Link Network](https://aclanthology.org/C16-1023/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
76. [Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features](https://aclanthology.org/C16-1019/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
77. [Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification](https://aclanthology.org/N16-1083/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
78. [Consistent Word Segmentation, Part-of-Speech Tagging and Dependency Labelling Annotation for Chinese Language](https://aclanthology.org/C16-1029/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
79. [Cross-language Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation](https://aclanthology.org/W16-2201/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers*
80. [Dependency Parsing with Bounded Block Degree and Well-nestedness via Lagrangian Relaxation and Branch-and-Bound](https://aclanthology.org/P16-1034/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
81. [Dynamic Feature Induction: The Last Gist to the State-of-the-Art](https://aclanthology.org/N16-1031/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
82. [Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States](https://aclanthology.org/Q16-1014/) *— 2016*
83. [Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks](https://aclanthology.org/N16-1025/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
84. [Finding Arguments as Sequence Labeling in Discourse Parsing](https://aclanthology.org/K16-2021/) *— 2016 · Proceedings of the CoNLL-16 shared task*
85. [Generation from Abstract Meaning Representation using Tree Transducers](https://md.mova.elamur.ai/free/en/docs/papers/flanigan-2016-generation-abstract-meaning-representation-tree/) *— our card · 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
86. [Global Neural CCG Parsing with Optimality Guarantees](https://aclanthology.org/D16-1262/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
87. [ICL-HD at SemEval-2016 Task 10: Improving the Detection of Minimal Semantic Units and their Meanings with an Ontology and Word Embeddings](https://aclanthology.org/S16-1144/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
88. [Joint Learning with Global Inference for Comment Classification in Community Question Answering](https://aclanthology.org/N16-1084/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
89. [LSTM Shift-Reduce CCG Parsing](https://aclanthology.org/D16-1181/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
90. [Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network](https://aclanthology.org/N16-1064/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
91. [Learning a POS tagger for AAVE-like language](https://md.mova.elamur.ai/free/en/docs/papers/jorgensen-2016-learning-pos-tagger-aave-like/) *— our card · 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
92. [Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems](https://aclanthology.org/D16-1029/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
93. [Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning](https://aclanthology.org/P16-1013/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [M2L at SemEval-2016 Task 8: AMR Parsing with Neural Networks](https://aclanthology.org/S16-1178/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
95. [Multi-domain Neural Network Language Generation for Spoken Dialogue Systems](https://aclanthology.org/N16-1015/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
96. [Neural Network-Based Model for Japanese Predicate Argument Structure Analysis](https://aclanthology.org/P16-1117/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing](https://aclanthology.org/P16-1001/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing](https://aclanthology.org/W16-6625/) *— 2016 · Proceedings of the 9th International Natural Language Generation conference*
99. [Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network](https://aclanthology.org/P16-1131/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages](https://aclanthology.org/L16-1483/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*

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

- [← previous Who cites «Discriminative Reranking for Natural Language Parsing» · page 3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2000-discriminative-reranking-natural-language-parsing-3/)
- [next → Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms» · page 2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-2/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)