---
title: "Who cites Discriminative Training Methods for Hidden…"
description: "648 papers of the Elamur Research library cite «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron…"
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---
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# Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms»

648 papers of our library cite it (of the 140,884 whose bibliographies we read) · 71 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/collins-2002-discriminative-training-methods-hidden-markov/)

1. [**Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network**Kristina Toutanova, Dan Klein, Christopher D. Manning, et al.*2003 · 3,559 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2003-feature-rich-part-speech-tagging/)
2. [**Design Challenges and Misconceptions in Named Entity Recognition**Lev Ratinov, Dan Roth*2009 · 1,836 citations*](https://md.research.elamur.ai/free/en/papers/ratinov-2009-design-challenges-misconceptions-named-entity/)
3. [**Contextual String Embeddings for Sequence Labeling**Alan Akbik, Duncan Blythe, Roland Vollgraf*2018 · 1,390 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2018-contextual-string-embeddings-sequence-labeling/)
4. [**Non-Projective Dependency Parsing using Spanning Tree Algorithms**Ryan McDonald, Fernando Pereira, Kiril Ribarov, et al.*2005 · 1,258 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2005-non-projective-dependency-parsing-spanning/)
5. [**Online Large-Margin Training of Dependency Parsers**Ryan McDonald, Koby Crammer, Fernando Pereira*2005 · 1,212 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2005-online-large-margin-training-dependency/)
6. [**Findings of the 2014 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Christian Federmann, et al.*2014 · 923 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2014-findings-2014-workshop-statistical-machine/)
7. [**NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews**Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, et al.*2014 · 788 citations*](https://md.research.elamur.ai/free/en/papers/kiritchenko-2014-nrc-canada-2014-detecting-aspects/)
8. [**Semi-supervised sequence tagging with bidirectional language models**Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, et al.*2017 · 786 citations*](https://md.research.elamur.ai/free/en/papers/peters-2017-semi-supervised-sequence-tagging-bidirectional/)
9. [**Online Learning of Approximate Dependency Parsing Algorithms**Ryan McDonald, Fernando Pereira*2006 · 729 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2006-online-learning-approximate-dependency-parsing/)
10. [**Joint Event Extraction via Structured Prediction with Global Features**Qi Li, Heng Ji, Liang Huang*2013 · 681 citations*](https://md.research.elamur.ai/free/en/papers/li-2013-joint-event-extraction-structured-prediction/)
11. [**Simple Semi-supervised Dependency Parsing**Terry Koo, Xavier Carreras, Michael Collins*2008 · 655 citations*](https://md.research.elamur.ai/free/en/papers/koo-2008-simple-semi-supervised-dependency-parsing/)
12. [**Incremental Joint Extraction of Entity Mentions and Relations**Qi Li, Heng Ji*2014 · 646 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-incremental-joint-extraction-entity-mentions/)
13. [**Parsing Argumentation Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2017 · 613 citations*](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/)
14. [**Top Accuracy and Fast Dependency Parsing is not a Contradiction**Bernd Bohnet*2010 · 583 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2010-top-accuracy-fast-dependency-parsing/)
15. [**Incremental Parsing with the Perceptron Algorithm**Michael Collins, Brian Roark*2004 · 568 citations*](https://md.research.elamur.ai/free/en/papers/collins-2004-incremental-parsing-perceptron-algorithm/)
16. [**Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?**Christopher D. Manning*2011 · 510 citations*](https://md.research.elamur.ai/free/en/papers/manning-2011-part-speech-tagging-97-100/)
17. [**A Discriminative Graph-Based Parser for the Abstract Meaning Representation**Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, et al.*2014 · 508 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2014-discriminative-graph-based-parser-abstract/)
18. [**Inducing Crosslingual Distributed Representations of Words**Alexandre Klementiev, Ivan Titov, Binod Bhattarai*2012 · 501 citations*](https://md.research.elamur.ai/free/en/papers/klementiev-2012-inducing-crosslingual-distributed-representations-words/)
19. [**Neural Text Generation with Unlikelihood Training**Sean Welleck, Ilia Kulikov, Stephen Roller, et al.*2019 · 498 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2019-neural-text-generation-unlikelihood-training/)
20. [**Multi-Source Transfer of Delexicalized Dependency Parsers**Ryan McDonald, Slav Petrov, Keith Hall*2011 · 490 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2011-multi-source-transfer-delexicalized-dependency/)
21. [**SVMTool: A general POS Tagger Generator Based on Support Vector Machines**Jesús Giménez, Lluís Màrquez*2004 · 451 citations*](https://md.research.elamur.ai/free/en/papers/gimenez-2004-svmtool-general-pos-tagger-generator/)
22. [**Modeling Joint Entity and Relation Extraction with Table Representation**Makoto Miwa, Yutaka Sasaki*2014 · 443 citations*](https://md.research.elamur.ai/free/en/papers/miwa-2014-modeling-joint-entity-relation-extraction/)
23. [**Findings of the 2013 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 441 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/)
24. [**Paraphrase-Driven Learning for Open Question Answering**Anthony Fader, Luke Zettlemoyer, Oren Etzioni*2013 · 438 citations*](https://md.research.elamur.ai/free/en/papers/fader-2013-paraphrase-driven-learning-open-question/)
25. [**Recognizing Named Entities in Tweets**Xiaohua Liu, Shaodian Zhang, Furu Wei, et al.*2011 · 435 citations*](https://md.research.elamur.ai/free/en/papers/liu-2011-recognizing-named-entities-tweets/)
26. [**Open Sesame: Getting inside BERT's Linguistic Knowledge**Yongjie Lin, Yi Chern Tan, Robert Frank*2019 · 379 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-open-sesame-getting-inside-bert/)
27. [**Multilingual Models for Compositional Distributed Semantics**Karl Moritz Hermann, Phil Blunsom*2014 · 375 citations*](https://md.research.elamur.ai/free/en/papers/hermann-2014-multilingual-models-compositional-distributed-semantics/)
28. [**Name Tagging with Word Clusters and Discriminative Training**Scott Miller, Jethran Guinness, Alex Zamanian*2004 · 365 citations*](https://md.research.elamur.ai/free/en/papers/miller-2004-name-tagging-word-clusters-discriminative/)
29. [**A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing**Bernd Bohnet, Joakim Nivre*2012 · 364 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2012-transition-based-system-joint-part/)
30. [**Experiments with a Higher-Order Projective Dependency Parser**Xavier Carreras*2007 · 358 citations*](https://md.research.elamur.ai/free/en/papers/carreras-2007-experiments-higher-order-projective-dependency/)
31. [**Deep Learning for Chinese Word Segmentation and POS Tagging**Xiaoqing Zheng, Hanyang Chen, Tianyu Xu*2013 · 340 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2013-deep-learning-chinese-word-segmentation/)
32. [**Toward Abstractive Summarization Using Semantic Representations**Fei Liu, Jeffrey Flanigan, Sam Thomson, et al.*2015 · 337 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-abstractive-summarization-semantic-representations/)
33. [**A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing**Yue Zhang, Stephen Clark*2008 · 336 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2008-tale-two-parsers-investigating-combining/)
34. [**Chinese Syntactic Reordering for Statistical Machine Translation**Chao Wang, Michael Collins, Philipp Koehn*2007 · 314 citations*](https://md.research.elamur.ai/free/en/papers/wang-2007-chinese-syntactic-reordering-statistical-machine/)
35. [**Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments**Michael Mohler, Razvan Bunescu, Rada Mihalcea*2011 · 310 citations*](https://md.research.elamur.ai/free/en/papers/mohler-2011-learning-grade-short-answer-questions/)
36. [**A Dependency Parser for Tweets**Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, et al.*2014 · 298 citations*](https://md.research.elamur.ai/free/en/papers/kong-2014-dependency-parser-tweets/)
37. [**Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger**Massimiliano Ciaramita, Yasemin Altun*2006 · 295 citations*](https://md.research.elamur.ai/free/en/papers/ciaramita-2006-broad-coverage-sense-disambiguation-information/)
38. [**Modeling Biological Processes for Reading Comprehension**Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, et al.*2014 · 288 citations*](https://md.research.elamur.ai/free/en/papers/berant-2014-modeling-biological-processes-reading-comprehension/)
39. [**Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion**Sittichai Jiampojamarn, Grzegorz Kondrak, Tarek Sherif*2007 · 274 citations*](https://md.research.elamur.ai/free/en/papers/jiampojamarn-2007-applying-many-many-alignments-hidden/)
40. [**A Transition-based Algorithm for AMR Parsing**Chuan Wang, Nianwen Xue, Sameer Pradhan*2015 · 268 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-transition-based-algorithm-amr-parsing/)
41. [**Learning Context-Dependent Mappings from Sentences to Logical Form**Luke Zettlemoyer, Michael Collins*2009 · 246 citations*](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2009-learning-context-dependent-mappings-sentences/)
42. [**A Discriminative Matching Approach to Word Alignment**Ben Taskar, Simon Lacoste-Julien, Dan Klein*2005 · 237 citations*](https://md.research.elamur.ai/free/en/papers/taskar-2005-discriminative-matching-approach-word-alignment/)
43. [**Structured Perceptron with Inexact Search**Liang Huang, Suphan Fayong, Yang Guo*2012 · 235 citations*](https://md.research.elamur.ai/free/en/papers/huang-2012-structured-perceptron-inexact-search/)
44. [**Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing**Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.*2019 · 217 citations*](https://md.research.elamur.ai/free/en/papers/ponti-2019-modeling-language-variation-universals-survey/)
45. [**Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition**Jana Straková, Milan Straka, Jan Hajič*2014 · 217 citations*](https://md.research.elamur.ai/free/en/papers/strakova-2014-open-source-tools-morphology-lemmatization/)
46. [**Text: now in 2D! A framework for lexical expansion with contextual similarity**Chris Biemann, Martin Riedl*2013 · 185 citations*](https://md.research.elamur.ai/free/en/papers/biemann-2013-text-now-2d-framework-lexical/)
47. [**Learning part-of-speech taggers with inter-annotator agreement loss**Barbara Plank, Dirk Hovy, Anders Søgaard*2014 · 178 citations*](https://md.research.elamur.ai/free/en/papers/plank-2014-learning-part-speech-taggers-inter/)
48. [**Supersense Tagging of Unknown Nouns in WordNet**Massimiliano Ciaramita, Mark Johnson*2003 · 176 citations*](https://md.research.elamur.ai/free/en/papers/ciaramita-2003-supersense-tagging-unknown-nouns-wordnet/)
49. [**Better Word Alignments with Supervised ITG Models**Aria Haghighi, John Blitzer, John DeNero, et al.*2009 · 163 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2009-better-word-alignments-supervised-itg/)
50. [**Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features**Anders Björkelund, Jonas Kuhn*2014 · 162 citations*](https://md.research.elamur.ai/free/en/papers/bjorkelund-2014-learning-structured-perceptrons-coreference-resolution/)
51. [**Statistical French Dependency Parsing: Treebank Conversion and First Results**Marie Candito, Benoît Crabbé, Pascal Denis*2010 · 162 citations*](https://md.research.elamur.ai/free/en/papers/candito-2010-statistical-french-dependency-parsing-treebank/)
52. [**Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut**Nathan Schneider, Emily Danchik, Chris Dyer, et al.*2014 · 159 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2014-discriminative-lexical-semantic-segmentation-gaps/)
53. [**Generation from Abstract Meaning Representation using Tree Transducers**Jeffrey Flanigan, Chris Dyer, Noah A. Smith, et al.*2016 · 152 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/)
54. [**Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model**Yue Zhang, Stephen Clark*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2009-transition-based-parsing-chinese-treebank/)
55. [**Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution**Eraldo Fernandes, Cícero dos Santos, Ruy Milidiú*2012 · 141 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2012-latent-structure-perceptron-feature-induction/)
56. [**Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers**Chuan Wang, Nianwen Xue, Sameer Pradhan*2015 · 115 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-boosting-transition-based-amr-parsing/)
57. [**A Corpus and Model Integrating Multiword Expressions and Supersenses**Nathan Schneider, Noah A. Smith*2015 · 111 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2015-corpus-model-integrating-multiword-expressions/)
58. [**Latent Structures for Coreference Resolution**Sebastian Martschat, Michael Strube*2015 · 111 citations*](https://md.research.elamur.ai/free/en/papers/martschat-2015-latent-structures-coreference-resolution/)
59. [**Machine Learning for Coreference Resolution: From Local Classification to Global Ranking**Vincent Ng*2005 · 103 citations*](https://md.research.elamur.ai/free/en/papers/ng-2005-machine-learning-coreference-resolution-local/)
60. [**Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction**Zhanming Jie, Jierui Li, Wei Lu*2022 · 102 citations*](https://md.research.elamur.ai/free/en/papers/jie-2022-learning-reason-deductively-math-word/)
61. [**AMR Parsing with an Incremental Joint Model**Junsheng Zhou, Feiyu Xu, Hans Uszkoreit, et al.*2016 · 79 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2016-amr-parsing-incremental-joint-model/)
62. [**Latent Trees for Coreference Resolution**Eraldo Rezende Fernandes, Cícero Nogueira dos Santos, Ruy Luiz Milidiú*2014 · 63 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2014-latent-trees-coreference-resolution/)
63. [**Learning a POS tagger for AAVE-like language**Anna Jørgensen, Dirk Hovy, Anders Søgaard*2016 · 59 citations*](https://md.research.elamur.ai/free/en/papers/jorgensen-2016-learning-pos-tagger-aave-like/)
64. [**A global model for joint lemmatization and part-of-speech prediction**Kristina Toutanova, Colin Cherry*2009 · 58 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2009-global-model-joint-lemmatization-part/)
65. [**Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron**Jun Araki, Teruko Mitamura*2015 · 56 citations*](https://md.research.elamur.ai/free/en/papers/araki-2015-joint-event-trigger-identification-event/)
66. [**Transition-Based Syntactic Linearization**Yijia Liu, Yue Zhang, Wanxiang Che, et al.*2015 · 52 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-transition-based-syntactic-linearization/)
67. [**Gesture Improves Coreference Resolution**Jacob Eisenstein, Randall Davis*2006 · 24 citations*](https://md.research.elamur.ai/free/en/papers/eisenstein-2006-gesture-improves-coreference-resolution/)
68. [**Towards the Annotation of Penn TreeBank with Information Structure**Bernd Bohnet, Alicia Burga, Leo Wanner*2013 · 16 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2013-annotation-penn-treebank-information-structure/)
69. [**A Cross-Task Flexible Transition Model for Arabic Tokenization, Affix Detection, Affix Labeling, POS Tagging, and Dependency Parsing**Stephen Tratz*2013 · 7 citations*](https://md.research.elamur.ai/free/en/papers/tratz-2013-cross-task-flexible-transition-model/)
70. [**Morphological Parsing for Media Lengua: When Accessibility Matters More Than State-of-the-Art**Jesse Stewart, Olga Kriukova*2026*](https://md.research.elamur.ai/free/en/papers/stewart-2026-morphological-parsing-media-lengua-when/)
71. [**Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage**Kevin Black, Eric Ringger, Paul Felt, et al.*2014*](https://md.research.elamur.ai/free/en/papers/black-2014-evaluating-lemmatization-models-machine-assisted/)

577 more papers of our library cite it; they have no page here yet.

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