Learning Accurate, Compact, and Interpretable Tree Annotation

Cited by (789)

Items 201–300 of 789

1. Measuring text difficulty using parse‐tree frequency
   David Kauchak, Gondy Leroy A, Alan Hogue · 2017 · Journal of the Association for Information Science and Technology
2. An Empirical Comparison of Parsing Methods for Stanford Dependencies
   Kong, Lingpeng, Noah A. Smith · 2014 · arXiv (Cornell University)
3. Learning Tractable Probabilistic Models for Fault Localization
   Aniruddh Nath, Pedro Domingos · 2016 · Proceedings of the AAAI Conference on Artificial Intelligence
4. High-Order Sequence Modeling for Language Learner Error Detection
   Michael Gamon · 2011
5. Parsers as language models for statistical machine translation
   Matt Post, Daniel Gildea · 2008
6. Coordination Annotation Extension in the Penn Tree Bank
   Jessica Ficler, Yoav Goldberg · 2016 · Proceedings of the conference - Association for Computational Linguistics. Meeting
7. Probabilistic grammars and hierarchical Dirichlet processes
   Percy Liang, Michael I. Jordan, Dan Klein · 2018 · Oxford University Press eBooks
8. Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing
   Shashi Narayan, Siva Reddy, Shay B. Cohen · 2016 · International Conference on Natural Language Generation
9. Efficient parsing for transducer grammars
   John DeNero, Mohit Bansal, Adam Pauls, Dan Klein · 2009 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
10. Tagging The Web: Building A Robust Web Tagger with Neural Network
    Ji Ma, Yue Zhang, Jingbo Zhu · 2014 · Proceedings of the conference - Association for Computational Linguistics. Meeting
11. Judging Grammaticality with Tree Substitution Grammar Derivations
    Matt Post · 2011
12. Unlexicalized Transition-based Discontinuous Constituency Parsing
    Maximin Coavoux, Benoît Crabbé, Shay B. Cohen · 2019 · Transactions of the Association for Computational Linguistics
13. Quality estimation for Machine Translation output using linguistic analysis and decoding features
    Eleftherios Avramidis · 2012
14. DCU-Paris13 Systems for the SANCL 2012 Shared Task
    Joseph Le Roux, Jennifer Foster, Joachim Wagner, Rasul Samad Zadeh Kaljahi, Zadeh Kaljahi, Anton Bryl · 2012 · Arrow@dit (Dublin Institute of Technology)
15. Accurate parsing with compact tree-substitution grammars: Double-DOP
    Federico Sangati, Willem H. Zuidema · 2011
16. Beam-Width Prediction for Efficient Context-Free Parsing
    Nathan Bodenstab, Aaron Dunlop, Keith Hall, Brian Roark A · 2011
17. An Analysis of Frequency- and Memory-Based Processing Costs
    Marten van Schijndel, William Schuler · 2013 · North American Chapter of the Association for Computational Linguistics
18. A non-parametric model for the discovery of inflectional paradigms from plain text using graphical models over strings
    Jason M. Eisner, Markus Dreyer · 2011
19. On statistical parsing of French with supervised and semi-supervised strategies
    Marie Candito, Benoît Crabbé, Djamé Seddah · 2009
20. A Study of Statistical Machine Translation Methods for Under Resourced Languages
    Win Pa Pa, Ye Kyaw Thu, Andrew Finch, Eiichiro Sumita · 2016 · Procedia Computer Science
21. A Lattice-based Framework for Joint Chinese Word Segmentation, POS Tagging and Parsing
    Zhiguo Wang, Chengqing Zong, Nianwen Xue · 2013
22. A Neural Network for Coordination Boundary Prediction
    Jessica Ficler, Yoav Goldberg · 2016 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
23. Lemmatization and Lexicalized Statistical Parsing of Morphologically-Rich Languages: the Case of French
    Djamé Seddah, Grzegorz Chrupała, Özlem Çetinoğlu, Josef van Genabith, Marie Candito · 2010 · Arrow@dit (Dublin Institute of Technology)
24. Joshua 5.0: Sparser, Better, Faster, Server
    Matt Post, Juri Ganitkevitch, Luke Orland, Jonathan Weese, Yuan Cao, Chris Callison-Burch · 2013 · Workshop on Statistical Machine Translation
25. Feature Optimization for Constituent Parsing via Neural Networks
    Zhiguo Wang, Haitao Mi, Nianwen Xue · 2015
26. Spectral Learning of Latent-Variable PCFGs
    Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle Ungar · 2012
27. An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
    Gholamreza Haffari, Marzieh Razavi, Anoop Sarkar · 2011
28. Augmenting String-to-Tree Translation Models with Fuzzy Use of Source-side Syntax
    Jiajun Zhang, Feifei Zhai, Chengqing Zong · 2012
29. Learning to Map into a Universal POS Tagset
    Yuan Zhang, Roi Reichart, Regina Barzilay, Amir Globerson · 2012
30. Korean Treebank Transformation for Parser Training
    Donghyun Choi, Jungyeul Park, Key‐Sun Choi · 2012
31. What Do Recurrent Neural Network Grammars Learn About Syntax?
    Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith · 2016 · arXiv (Cornell University)
32. Probabilistic Distributional Semantics with Latent Variable Models
    Diarmuid Ó Séaghdha, Anna Korhonen · 2014 · Computational Linguistics
33. Dependency-based Pre-ordering for Chinese-English Machine Translation
    Jingsheng Cai, Masao Utiyama, Eiichiro Sumita, Yujie Zhang · 2014 · Proceedings of the conference - Association for Computational Linguistics. Meeting
34. Capturing paradigmatic and syntagmatic lexical relations: Towards accurate chinese part-of-speech tagging
    Weiwei Sun, Hans Uszkoreit · 2012
35. Syntax-based Statistical Machine Translation
    Philip J. Williams, Rico Sennrich, Matt Post, Philipp Koehn · 2016 · Synthesis lectures on human language technologies
36. Semantic action recognition by learning a pose lexicon
    Lijuan Marissa Zhou, Wanqing Li, Philip Ogunbona, Zhengyou Zhang · 2017 · Pattern Recognition
37. E-magyar – A Digital Language Processing System
    Tamás Váradi, Eszter Simon, Bálint Sass, Iván Mittelholcz, Attila Novák, Balázs Indig, Richárd Farkas, Veronika Vincze · 2018 · Language Resources and Evaluation Conference (LREC)
38. Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
    Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer · 2019 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
39. Factors Affecting the Accuracy of Korean Parsing
    Tagyoung Chung, Matt Post, Daniel Gildea · 2010
40. Bayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor Priors
    Hanna Wallach, Charles A. Sutton, Andrew McCallum · 2008 · Scholarworks (University of Massachusetts Amherst)
41. The Penn Parsed Corpus of Modern British English: First Parsing Results and Analysis
    Seth Kulick A, Anthony S. Kroch, Beatrice Santorini · 2014 · Proceedings of the conference - Association for Computational Linguistics. Meeting
42. Edinburgh's Syntax-Based Systems at WMT 2015
    Philip J. Williams, Rico Sennrich, Maria Nădejde, Matthias Huck, Philipp Koehn · 2015 · Conference on Machine Translation (WMT)
43. EU-BRIDGE MT: Combined Machine Translation
    Markus Freitag, Stephan Peitz, Joern Wuebker, Hermann Ney, Matthias Huck, Rico Sennrich, Nadir Durrani, Maria Nădejde, Philip J. Williams, Philipp Koehn et al. · 2014 · Conference on Machine Translation (WMT)
44. Edinburgh's Statistical Machine Translation Systems for WMT16
    Philip J. Williams, Rico Sennrich, Maria Nădejde, Matthias Huck, Barry Haddow, Ondřej Bojar · 2016 · Conference on Machine Translation (WMT)
45. IPA and STOUT: Leveraging Linguistic and Source-based Features for Machine Translation Evaluation
    Meritxell Gonzàlez, Alberto Barrón‐Cedeño, Lluı́s Màrquez · 2014 · Conference on Machine Translation (WMT)
46. Content Assessment in Intelligent Computer-aided Language Learning: Meaning Error Diagnosis for English as a Second Language
    Stacey M. Bailey · 2008 · OhioLink ETD Center (Ohio Library and Information Network)
47. Hierarchical search for parsing
    Adam Pauls, Dan Klein · 2009 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
48. A Multi-Teraflop Constituency Parser using GPUs
    John Canny, David Hall, Dan Klein · 2013 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
49. An Empirical Examination of Challenges in Chinese Parsing
    Jonathan K. Kummerfeld, Daniel Tse, James Curran, Dan Klein · 2013
50. Weighted DAG Automata for Semantic Graphs
    David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez, Giorgio Satta · 2017 · Computational Linguistics
51. Discontinuity Re-visited: A Minimalist Approach to Pseudoprojective Constituent Parsing
    Yannick Versley · 2016
52. Scaling Hidden Markov Language Models
    Justin Chiu, Alexander M. Rush · 2020 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
53. Effective Batching for Recurrent Neural Network Grammars
    Hiroshi Noji, Yohei Oseki · 2021 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
54. LFG without C-structures
    Özlem Çetinoğlu, Jennifer Foster, Joakim Nivre, Deirdre Hogan, Aoife Cahill, Josef van Genabith · 2010 · Arrow@dit (Dublin Institute of Technology)
55. Better binarization for the CKY parsing
    Xinying Song, Shilin Ding, Chin-Yew Lin · 2008 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
56. A Comparison of Chinese Parsers for Stanford Dependencies
    Wanxiang Che, Valentin I. Spitkovsky, Ting Liu · 2012
57. Joint Evaluation of Morphological Segmentation and Syntactic Parsing
    Reut Tsarfaty, Joakim Nivre, Evelina Andersson · 2012
58. Efficient Parallel CKY Parsing on GPUs
    Youngmin Yi, Chao-Yue Lai, Slav Petrov, Kurt Keutzer · 2011 · International Workshop/Conference on Parsing Technologies
59. Exploiting Zero Pronouns to Improve Chinese Coreference Resolution
    Fang Kong, Hwee Tou Ng · 2013 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
60. Modeling morphological learning, typology, and change: What can the neural sequence-to-sequence framework contribute?
    Micha Elsner, Andrea D. Sims, Alexander Erdmann, Antonio Ordaz Hernández, Evan Jaffe, Lifeng Jin, Martha Booker Johnson, Shuan Osman Karim, David King, Luana Lamberti et al. · 2019 · Journal of Language Modelling
61. Incorporating paraphrasing in translation memory matching and retrieval
    Rohit Gupta, Constantin Orǎsan · 2014
62. Detecting Forum Authority Claims in Online Discussions
    Alex Marin, Bin Zhang, Mari Ostendorf E · 2011
63. Bayesian Tree Substitution Grammars as a Usage-based Approach
    Matt Post, Daniel Gildea · 2013 · Language and Speech
64. Edinburgh's Syntax-Based Machine Translation Systems
    Maria Nădejde, Philip J. Williams, Philipp Koehn · 2013
65. Preordering using a Target-Language Parser via Cross-Language Syntactic Projection for Statistical Machine Translation
    Isao Goto, Masao Utiyama, Eiichiro Sumita, Sadao Kurohashi · 2015 · ACM Transactions on Asian and Low-Resource Language Information Processing
66. Multilingual discriminative lexicalized phrase structure parsing
    Benoît Crabbé · 2015 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
67. Parsing Noun Phrases in the Penn Treebank
    David Vadas, James R. Curran · 2011 · Computational Linguistics
68. Introducing the IMS-Wroclaw-Szeged-CIS entry at the SPMRL 2014 Shared Task: Reranking and Morpho-syntax meet Unlabeled Data
    Anders J. Björkelund, Özlem Çetinoğlu, Agnieszka Faleńska, Richárd Farkas, Thomas Mueller, Wolfgang Seeker, Zsolt Szántó · 2014 · Lund University Publications (Lund University)
69. Generating Disambiguating Paraphrases for Structurally Ambiguous Sentences
    Manjuan Duan, Ethan Hill, Michael White · 2016 · Linguistic Annotation Workshop
70. PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
    Songlin Yang, Yanpeng Zhao, Kewei Tu · 2021 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
71. Surprisal Estimators for Human Reading Times Need Character Models
    Byung-Doh Oh, Christian Clark, William Schuler · 2021
72. Phrase Structure Parsing with Dependency Structure
    Zhiguo Wang, Chengqing Zong · 2010
73. Unsupervised methods for head assignments
    Federico Sangati, Willem H. Zuidema · 2009 · Conference of the European Chapter of the Association for Computational Linguistics
74. Iterative parameter mixing for distributed large-margin training of structured predictors for natural language processing
    Gregory Coppola · 2015 · ERA
75. Ckylark: A More Robust PCFG-LA Parser
    Yusuke Oda, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura · 2015 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
76. Large-Scale Corpus-Driven PCFG Approximation of an HPSG
    Yi Zhang, Hans‐Ulrich Krieger · 2012
77. Does Universal Dependencies need a parsing representation? An investigation of English
    Natalia Silveira, Christopher D. Manning · 2015
78. Modeling the Adversary to Evaluate Password Strength With Limited Samples
    Saranga Komanduri · 2016 · KiltHub Repository
79. Mention Detection: Heuristics for the OntoNotes annotations
    Jonathan K. Kummerfeld, Mohit Bansal, David Burkett, Dan Klein · 2011
80. Efficient Matrix-Encoded Grammars and Low Latency Parallelization Strategies for CYK
    Aaron Dunlop, Nathan Bodenstab, Brian Roark A · 2011
81. Machine Translation by Modeling PredicateArgument Structure Transformation
    Feifei Zhai, Jiajun Zhang, Yu Zhou, Chengqing Zong · 2013
82. Comparative Quality Estimation: Automatic Sentence-Level Ranking of Multiple Machine Translation Outputs
    Eleftherios Avramidis · 2012
83. Ensuring annotation consistency and accuracy for Vietnamese treebank
    Quy T. Nguyen, Yusuke Miyao, Ha Le, Nhung T. H. Nguyen · 2017 · Language Resources and Evaluation
84. Language-independent Model for Machine Translation Evaluation with Reinforced Factors
    Aaron Li-Feng Han, Derek F. Wong, Lidia Sam Chao, Liangye He, Yi Lü, Junwen Xing, Xiaodong Zeng · 2013
85. Topological field parsing of German
    Jackie Chi Kit Cheung, Gerald Penn · 2009
86. Three-dimensional parametrization for parsing morphologically rich languages
    Reut Tsarfaty, Khalil Sima’an · 2007 · International Workshop/Conference on Parsing Technologies
87. Foreebank: Syntactic Analysis of Customer Support Forums
    Rasoul Kaljahi, Jennifer Foster, Johann Roturier, Corentin Ribeyre, Teresa Lynn, Joseph Le Roux · 2015 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
88. Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling
    Aaron Li-Feng Han, Yi Lü, Derek F. Wong, Lidia Sam Chao, Liangye He, Junwen Xing · 2013
89. Real-word error correction with trigrams: correcting multiple errors in a sentence
    Seyed Mohammad Sadegh Dashti · 2017 · Language Resources and Evaluation
90. Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
    Tim Vieira, Jason M. Eisner · 2017 · Transactions of the Association for Computational Linguistics
91. Sentence-level ranking with quality estimation
    Eleftherios Avramidis · 2013 · Machine Translation
92. Incremental Sigmoid Belief Networks for Grammar Learning
    James Henderson, Ivan Titov · 2010
93. Learning a pose lexicon for semantic action recognition
    Lijuan Marissa Zhou, Wanqing Li, Philip Ogunbona · 2016 · IEEE International Conference on Multimedia and Expo (ICME)
94. Towards Accurate and Efficient Chinese Part-of-Speech Tagging
    Weiwei Sun, Xiaojun Wan · 2016 · Computational Linguistics
95. Microsummarization of Online Reviews: An Experimental Study
    Rebecca Mason, Benjamin James Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell · 2016 · Proceedings of the AAAI Conference on Artificial Intelligence
96. The QT21/HimL Combined Machine Translation System
    Jan-Thorsten Peter, Tamer Alkhouli, Hermann Ney, Matthias Huck, Fabienne Braune, Alexander Fraser, Aleš Tamchyna, Ondřej Bojar, Barry Haddow, Rico Sennrich et al. · 2016 · Conference on Machine Translation (WMT)
97. Modeling Morphosyntactic Agreement in Constituency-Based Parsing of Modern Hebrew
    Reut Tsarfaty, Khalil Sima’an · 2010 · UvA-DARE (University of Amsterdam)
98. The CMU Machine Translation Systems at WMT 2014
    Austin Matthews, Waleed Ammar, Archna Bhatia, Weston Feely, Greg Hanneman, Eva Schlinger, Swabha Swayamdipta, Yulia Tsvetkov, Alon Lavie, Chris Dyer · 2014 · Conference on Machine Translation (WMT)
99. Kernel-based semantic relation detection and classification via enriched parse tree structure
    Guodong Zhou, Qiaoming Zhu · 2011 · Journal of Computer Science and Technology
100. Tree Distance and Some Other Variants of Evalb
     Martin Emms · 2008 · Language Resources and Evaluation Conference (LREC)