---
title: "Who cites Accurate Unlexicalized Parsing"
description: "934 papers of the Elamur Research library cite «Accurate Unlexicalized Parsing», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/klein-2003-accurate-unlexicalized-parsing/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/klein-2003-accurate-unlexicalized-parsing/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Accurate Unlexicalized Parsing](https://md.research.elamur.ai/free/en/papers/klein-2003-accurate-unlexicalized-parsing/) / cited by

# Who cites «Accurate Unlexicalized Parsing»

934 papers of our library cite it (of the 140,884 whose bibliographies we read) · 99 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/klein-2003-accurate-unlexicalized-parsing/)

1. [**Distributed Representations of Sentences and Documents**Quoc V. Le, Tomas Mikolov*2014 · 5,747 citations*](https://md.research.elamur.ai/free/en/papers/le-2014-distributed-representations-sentences-documents/)
2. [**Generating Typed Dependency Parses from Phrase Structure Parses**Marie-Catherine de Marneffe, Bill MacCartney, Christopher D. Manning*2006 · 2,886 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2006-generating-typed-dependency-parses-phrase/)
3. [**What Does BERT Learn about the Structure of Language?**Ganesh Jawahar, Benoît Sagot, Djamé Seddah*2019 · 1,789 citations*](https://md.research.elamur.ai/free/en/papers/jawahar-2019-what-does-bert-learn-about/)
4. [**Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference**R. Thomas McCoy, Ellie Pavlick, Tal Linzen*2019 · 1,630 citations*](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/)
5. [**Semantic Compositionality through Recursive Matrix-Vector Spaces**Richard Socher, Brody Huval, Christopher D. Manning, et al.*2012 · 1,559 citations*](https://md.research.elamur.ai/free/en/papers/socher-2012-semantic-compositionality-through-recursive-matrix/)
6. [**Open Information Extraction from the Web**Michele Banko, Michael J. Cafarella, Stephen Soderland, et al.*2007 · 1,459 citations*](https://md.research.elamur.ai/free/en/papers/banko-2007-open-information-extraction-web/)
7. [**Sentiment Analysis of Twitter Data**Apoorv Agarwal, Boyi Xie, Ilia Vovsha, et al.*2011 · 1,457 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2011-sentiment-analysis-twitter-data/)
8. [**Learning Accurate, Compact, and Interpretable Tree Annotation**Slav Petrov, Leon Barrett, Romain Thibaux, et al.*2006 · 1,242 citations*](https://md.research.elamur.ai/free/en/papers/petrov-2006-learning-accurate-compact-interpretable-tree/)
9. [**Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification**Li Dong, Furu Wei, Chuanqi Tan, et al.*2014 · 1,211 citations*](https://md.research.elamur.ai/free/en/papers/dong-2014-adaptive-recursive-neural-network-target/)
10. [**The Stanford Typed Dependencies Representation**Marie-Catherine de Marneffe, Christopher D. Manning*2008 · 1,144 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2008-stanford-typed-dependencies-representation/)
11. [**Neural Module Networks**Jacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.*2015 · 1,075 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2015-neural-module-networks/)
12. [**What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties**Alexis Conneau, German Kruszewski, Guillaume Lample, et al.*2018 · 1,021 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2018-what-you-can-cram-into/)
13. [**Improved Inference for Unlexicalized Parsing**Slav Petrov, Dan Klein*2007 · 941 citations*](https://md.research.elamur.ai/free/en/papers/petrov-2007-improved-inference-unlexicalized-parsing/)
14. [**Finding Deceptive Opinion Spam by Any Stretch of the Imagination**Myle Ott, Yejin Choi, Claire Cardie, et al.*2011 · 806 citations*](https://md.research.elamur.ai/free/en/papers/ott-2011-finding-deceptive-opinion-spam-any/)
15. [**Universal Dependency Annotation for Multilingual Parsing**Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, et al.*2013 · 749 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2013-universal-dependency-annotation-multilingual-parsing/)
16. [**Semantic Parsing via Paraphrasing**Jonathan Berant, Percy Liang*2014 · 681 citations*](https://md.research.elamur.ai/free/en/papers/berant-2014-semantic-parsing-paraphrasing/)
17. [**Universal Stanford dependencies: A cross-linguistic typology**Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, et al.*2014 · 626 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2014-universal-stanford-dependencies-cross-linguistic/)
18. [**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/)
19. [**Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules**Heeyoung Lee, Angel Chang, Yves Peirsman, et al.*2013 · 536 citations*](https://md.research.elamur.ai/free/en/papers/lee-2013-deterministic-coreference-resolution-based-entity/)
20. [**Identifying Argumentative Discourse Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2014 · 517 citations*](https://md.research.elamur.ai/free/en/papers/stab-2014-identifying-argumentative-discourse-structures-persuasive/)
21. [**Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis**Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, et al.*2016 · 514 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-recursive-neural-conditional-random-fields/)
22. [**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/)
23. [**Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation**Xiao Liu, Zhunchen Luo, Heyan Huang*2018 · 509 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-jointly-multiple-events-extraction-attention/)
24. [**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/)
25. [**A Multi-Pass Sieve for Coreference Resolution**Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, et al.*2010 · 446 citations*](https://md.research.elamur.ai/free/en/papers/raghunathan-2010-multi-pass-sieve-coreference-resolution/)
26. [**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/)
27. [**The CommitmentBank: Investigating projection in naturally occurring discourse**Marie-Catherine de Marneffe, Mandy Simons, Judith Tonhauser*2019 · 410 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2019-commitmentbank-investigating-projection-naturally/)
28. [**Probabilistic CFG with Latent Annotations**Takuya Matsuzaki, Yusuke Miyao, Jun'ichi Tsujii*2005 · 375 citations*](https://md.research.elamur.ai/free/en/papers/matsuzaki-2005-probabilistic-cfg-latent-annotations/)
29. [**Question Generation for Question Answering**Nan Duan, Duyu Tang, Peng Chen, et al.*2017 · 370 citations*](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/)
30. [**Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming**Kristian Woodsend, Mirella Lapata*2011 · 334 citations*](https://md.research.elamur.ai/free/en/papers/woodsend-2011-learning-simplify-sentences-quasi-synchronous/)
31. [**Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language**Luheng He, Mike Lewis, Luke Zettlemoyer*2015 · 322 citations*](https://md.research.elamur.ai/free/en/papers/he-2015-question-answer-driven-semantic-role/)
32. [**Simple English Wikipedia: A New Text Simplification Task**William Coster, David Kauchak*2011 · 321 citations*](https://md.research.elamur.ai/free/en/papers/coster-2011-simple-english-wikipedia-new-text/)
33. [**A Comparison of Vector-based Representations for Semantic Composition**William Blacoe, Mirella Lapata*2012 · 320 citations*](https://md.research.elamur.ai/free/en/papers/blacoe-2012-comparison-vector-based-representations-semantic/)
34. [**A Minimal Span-Based Neural Constituency Parser**Mitchell Stern, Jacob Andreas, Dan Klein*2017 · 309 citations*](https://md.research.elamur.ai/free/en/papers/stern-2017-minimal-span-based-neural-constituency/)
35. [**Finding Contradictions in Text**Marie-Catherine de Marneffe, Anna N. Rafferty, Christopher D. Manning*2008 · 301 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2008-finding-contradictions-text/)
36. [**A Survey of Paraphrasing and Textual Entailment Methods**Ion Androutsopoulos, Prodromos Malakasiotis*2009 · 280 citations*](https://md.research.elamur.ai/free/en/papers/androutsopoulos-2009-survey-paraphrasing-textual-entailment-methods/)
37. [**Joint Unsupervised Coreference Resolution with Markov Logic**Hoifung Poon, Pedro Domingos*2008 · 272 citations*](https://md.research.elamur.ai/free/en/papers/poon-2008-joint-unsupervised-coreference-resolution-markov/)
38. [**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/)
39. [**Efficient, Feature-based, Conditional Random Field Parsing**Jenny Rose Finkel, Alex Kleeman, Christopher D. Manning*2008 · 261 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2008-efficient-feature-based-conditional-random/)
40. [**A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing**Vanessa Wei Feng, Graeme Hirst*2014 · 250 citations*](https://md.research.elamur.ai/free/en/papers/feng-2014-linear-time-bottom-up-discourse/)
41. [**SPICE: Semantic Propositional Image Caption Evaluation**Peter Anderson, Basura Fernando, Mark Johnson, et al.*2016 · 244 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2016-spice-semantic-propositional-image-caption/)
42. [**Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 244 citations*](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/)
43. [**Commonsense Knowledge Base Completion**Xiang Li, Aynaz Taheri, Lifu Tu, et al.*2016 · 232 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-commonsense-knowledge-base-completion/)
44. [**Better Arabic Parsing: Baselines, Evaluations, and Analysis**Spence Green, Christopher D. Manning*2010 · 231 citations*](https://md.research.elamur.ai/free/en/papers/green-2010-better-arabic-parsing-baselines-evaluations/)
45. [**Efficient Parsing of Highly Ambiguous Context-Free Grammars with Bit Vectors**Helmut Schmid*2004 · 209 citations*](https://md.research.elamur.ai/free/en/papers/schmid-2004-efficient-parsing-highly-ambiguous-context/)
46. [**Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data**Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, et al.*2018 · 202 citations*](https://md.research.elamur.ai/free/en/papers/pratapa-2018-language-modeling-code-mixing-role/)
47. [**Did It Happen? The Pragmatic Complexity of Veridicality Assessment**Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts*2012 · 202 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2012-did-it-happen-pragmatic-complexity/)
48. [**One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations**Yangfeng Ji, Jacob Eisenstein*2015 · 198 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/)
49. [**Statistical Metaphor Processing**Ekaterina Shutova, Simone Teufel, Anna Korhonen*2013 · 196 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2013-statistical-metaphor-processing/)
50. [**Learning to Simplify Sentences Using Wikipedia**Will Coster, David Kauchak*2011 · 196 citations*](https://md.research.elamur.ai/free/en/papers/coster-2011-learning-simplify-sentences-wikipedia/)
51. [**OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification**Sowmya Vajjala, Ivana Lučić*2018 · 191 citations*](https://md.research.elamur.ai/free/en/papers/vajjala-2018-onestopenglish-corpus-new-corpus-automatic/)
52. [**Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns**Attapol Rutherford, Nianwen Xue*2014 · 191 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2014-discovering-implicit-discourse-relations-through/)
53. [**Soft Syntactic Constraints for Hierarchical Phrased-Based Translation**Yuval Marton, Philip Resnik*2008 · 183 citations*](https://md.research.elamur.ai/free/en/papers/marton-2008-soft-syntactic-constraints-hierarchical-phrased/)
54. [**A* CCG Parsing with a Supertag-factored Model**Mike Lewis, Mark Steedman*2014 · 175 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2014-ccg-parsing-supertag-factored-model/)
55. [**Improving Implicit Discourse Relation Recognition Through Feature Set Optimization**Joonsuk Park, Claire Cardie*2012 · 165 citations*](https://md.research.elamur.ai/free/en/papers/park-2012-improving-implicit-discourse-relation-recognition/)
56. [**Implicit Discourse Relation Classification via Multi-Task Neural Networks**Yang Liu, Sujian Li, Xiaodong Zhang, et al.*2016 · 162 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/)
57. [**Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy**Daniel Cer, Marie-Catherine de Marneffe, Dan Jurafsky, et al.*2010 · 158 citations*](https://md.research.elamur.ai/free/en/papers/cer-2010-parsing-stanford-dependencies-trade-offs/)
58. [**Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies**David Smith, Jason Eisner*2006 · 132 citations*](https://md.research.elamur.ai/free/en/papers/smith-2006-quasi-synchronous-grammars-alignment-soft/)
59. [**Task-oriented Evaluation of Syntactic Parsers and Their Representations**Yusuke Miyao, Rune Sætre, Kenji Sagae, et al.*2008 · 129 citations*](https://md.research.elamur.ai/free/en/papers/miyao-2008-task-oriented-evaluation-syntactic-parsers/)
60. [**Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output**Jonathan K. Kummerfeld, David Hall, James R. Curran, et al.*2012 · 127 citations*](https://md.research.elamur.ai/free/en/papers/kummerfeld-2012-parser-showdown-wall-street-corral/)
61. [**Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules**Advaith Siddharthan, Angrosh Mandya*2014 · 119 citations*](https://md.research.elamur.ai/free/en/papers/siddharthan-2014-hybrid-text-simplification-synchronous-dependency/)
62. [**Automatic Detection of Fake News**Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, et al.*2018 · 116 citations*](https://md.research.elamur.ai/free/en/papers/rosas-2018-automatic-detection-fake-news/)
63. [**Two Practical Rhetorical Structure Theory Parsers**Mihai Surdeanu, Tom Hicks, Marco Antonio Valenzuela-Escárcega*2015 · 113 citations*](https://md.research.elamur.ai/free/en/papers/surdeanu-2015-two-practical-rhetorical-structure-theory/)
64. [**Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves**Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, et al.*2013 · 88 citations*](https://md.research.elamur.ai/free/en/papers/hajishirzi-2013-joint-coreference-resolution-named-entity/)
65. [**Unbounded Dependency Recovery for Parser Evaluation**Laura Rimell, Stephen Clark, Mark Steedman*2009 · 86 citations*](https://md.research.elamur.ai/free/en/papers/rimell-2009-unbounded-dependency-recovery-parser-evaluation/)
66. [**Evaluation of Dependency Parsers on Unbounded Dependencies**Joakim Nivre, Laura Rimell, Ryan McDonald, et al.*2010 · 85 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2010-evaluation-dependency-parsers-unbounded-dependencies/)
67. [**A New Entity Salience Task with Millions of Training Examples**Jesse Dunietz, Daniel Gillick*2014 · 80 citations*](https://md.research.elamur.ai/free/en/papers/dunietz-2014-new-entity-salience-task-millions/)
68. [**Compound Probabilistic Context-Free Grammars for Grammar Induction**Yoon Kim, Chris Dyer, Alexander Rush*2019 · 79 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-compound-probabilistic-context-free-grammars/)
69. [**Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT**Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al.*2012 · 77 citations*](https://md.research.elamur.ai/free/en/papers/baker-2012-modality-negation-simt-use-modality/)
70. [**Was It Good? It Was Provocative.” Learning the Meaning of Scalar Adjectives**Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts*2010 · 75 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2010-was-it-good-it-was/)
71. [**IMPLI: Investigating NLI Models' Performance on Figurative Language**Kevin Stowe, Prasetya Utama, Iryna Gurevych*2022 · 68 citations*](https://md.research.elamur.ai/free/en/papers/stowe-2022-impli-investigating-nli-models-performance/)
72. [**Using an Error-Annotated Learner Corpus to Develop an ESL/EFL Error Correction System**Na-Rae Han, Joel Tetreault, Soo-Hwa Lee, et al.*2010 · 62 citations*](https://md.research.elamur.ai/free/en/papers/han-2010-error-annotated-learner-corpus-develop/)
73. [**Latent Anaphora Resolution for Cross-Lingual Pronoun Prediction**Christian Hardmeier, Jörg Tiedemann, Joakim Nivre*2013 · 58 citations*](https://md.research.elamur.ai/free/en/papers/hardmeier-2013-latent-anaphora-resolution-cross-lingual/)
74. [**Fast Rhetorical Structure Theory Discourse Parsing**Michael Heilman, Kenji Sagae*2015 · 56 citations*](https://md.research.elamur.ai/free/en/papers/heilman-2015-fast-rhetorical-structure-theory-discourse/)
75. [**Tree Linearization in English: Improving Language Model Based Approaches**Katja Filippova, Michael Strube*2009 · 56 citations*](https://md.research.elamur.ai/free/en/papers/filippova-2009-tree-linearization-english-improving-language/)
76. [**Training Tree Transducers**Jonathan Graehl, Kevin Knight*2004 · 53 citations*](https://md.research.elamur.ai/free/en/papers/graehl-2004-training-tree-transducers/)
77. [**A Mention-Ranking Model for Abstract Anaphora Resolution**Ana Marasović, Leo Born, Juri Opitz, et al.*2017 · 43 citations*](https://md.research.elamur.ai/free/en/papers/marasovic-2017-mention-ranking-model-abstract-anaphora/)
78. [**What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues**Xintong Yu, Hongming Zhang, Yangqiu Song, et al.*2019 · 42 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-what-you-see-is-what/)
79. [**Frame Semantic Tree Kernels for Social Network Extraction from Text**Apoorv Agarwal, Sriramkumar Balasubramanian, Anup Kotalwar, et al.*2014 · 40 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2014-frame-semantic-tree-kernels-social/)
80. [**An Empirical Comparison of Parsing Methods for Stanford Dependencies**Lingpeng Kong, Noah A. Smith*2014 · 39 citations*](https://md.research.elamur.ai/free/en/papers/kong-2014-empirical-comparison-parsing-methods-stanford/)
81. [**Word Segmentation, Unknown-word Resolution, and Morphological Agreement in a Hebrew Parsing System**Yoav Goldberg, Michael Elhadad*2013 · 39 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2013-word-segmentation-unknown-word-resolution/)
82. [**A Fully Coreference-annotated Corpus of Scholarly Papers from the ACL Anthology**Ulrich Schäfer, Christian Spurk, Jörg Steffen*2012 · 38 citations*](https://md.research.elamur.ai/free/en/papers/schafer-2012-fully-coreference-annotated-corpus-scholarly/)
83. [**PDTB Discourse Parsing as a Tagging Task: The Two Taggers Approach**Or Biran, Kathleen McKeown*2015 · 32 citations*](https://md.research.elamur.ai/free/en/papers/biran-2015-pdtb-discourse-parsing-as-tagging/)
84. [**Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser**Yoav Goldberg, Michael Elhadad*2011 · 32 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2011-joint-hebrew-segmentation-parsing-pcfgla/)
85. [**Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades**Elma Kerz, Yu Qiao, Daniel Wiechmann, et al.*2020 · 27 citations*](https://md.research.elamur.ai/free/en/papers/kerz-2020-becoming-linguistically-mature-modeling-english/)
86. [**Does Universal Dependencies need a parsing representation? An investigation of English**Natalia Silveira, Christopher Manning*2015 · 24 citations*](https://md.research.elamur.ai/free/en/papers/silveira-2015-does-universal-dependencies-need-parsing/)
87. [**Word-Based or Morpheme-Based? Annotation Strategies for Modern Hebrew Clitics**Reut Tsarfaty, Yoav Goldberg*2008 · 23 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2008-word-based-or-morpheme-based/)
88. [**Modeling Morphosyntactic Agreement in Constituency-Based Parsing of Modern Hebrew**Reut Tsarfaty, Khalil Sima'an*2010 · 21 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2010-modeling-morphosyntactic-agreement-constituency-based/)
89. [**Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection**Nafise Sadat Moosavi, Leo Born, Massimo Poesio, et al.*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/moosavi-2019-automatically-extracted-minimum-spans-disentangle/)
90. [**A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models**Dingcheng Li, Tim Miller, William Schuler*2011 · 20 citations*](https://md.research.elamur.ai/free/en/papers/li-2011-pronoun-anaphora-resolution-system-based/)
91. [**Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic**Jon Dehdari, Lamia Tounsi, Josef van Genabith*2011 · 19 citations*](https://md.research.elamur.ai/free/en/papers/dehdari-2011-morphological-features-parsing-morphologically-rich/)
92. [**The Dependency-Parsed FrameNet Corpus**Daniel Bauer, Hagen Fürstenau, Owen Rambow*2012 · 18 citations*](https://md.research.elamur.ai/free/en/papers/bauer-2012-dependency-parsed-framenet-corpus/)
93. [**CBAS: context based arabic stemmer**Mahmoud El-Defrawy, Yasser El-Sonbaty, Nahla A. Belal*2015 · 12 citations*](https://md.research.elamur.ai/free/en/papers/el-defrawy-2015-cbas-context-based-arabic-stemmer/)
94. [**Arabic Parsing Using Grammar Transforms**Lamia Tounsi, Josef van Genabith*2010 · 11 citations*](https://md.research.elamur.ai/free/en/papers/tounsi-2010-arabic-parsing-grammar-transforms/)
95. [**Exploring diachronic syntactic shifts with dependency length: the case of scientific English**Tom S Juzek, Marie Pauline Krielke, Elke Teich*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/juzek-2020-exploring-diachronic-syntactic-shifts-dependency/)
96. [**Parsing Any Domain English text to CoNLL dependencies**Sudheer Kolachina, Prasanth Kolachina*2012 · 6 citations*](https://md.research.elamur.ai/free/en/papers/kolachina-2012-parsing-any-domain-english-text/)
97. [**A Factored Functional Dependency Transformation of the English Penn Treebank for Probabilistic Surface Generation**Irene Langkilde-Geary, Justin Betteridge*2006 · 5 citations*](https://md.research.elamur.ai/free/en/papers/geary-2006-factored-functional-dependency-transformation-english/)
98. [**Domain-Dependent Detection of Light Verb Constructions**István T. Nagy, Gábor Berend, György Móra, et al.*2011 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nagy-2011-domain-dependent-detection-light-verb/)
99. [**Tracing Syntactic Complexity: Exploring the Evolution of Average Dependency Length Across Three Centuries of Scientific English**Marie-Pauline Krielke, Diego Alves, Luigi Talamo*2025*](https://md.research.elamur.ai/free/en/papers/krielke-2025-tracing-syntactic-complexity-exploring-evolution/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/klein-2003-accurate-unlexicalized-parsing/) — Accurate Unlexicalized Parsing