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[← the card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree/) Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-4/) · **5** 1. mitchell-2015-parser-adaptation-biomedical-domain-without 2. mueller-2014-dependency-parsing-latent-refinements-part 3. naradowsky-2012-grammarless-parsing-joint-inference 4. nederhof-2014-deterministic-parsing-pcfgs 5. nederhof-2016-transition-based-dependency-parsing-as 6. nguyen-2018-empirical-investigation-error-types-vietnamese 7. nikolova-2009-new-issues-solutions-computer-aided 8. nivre-2011-invited-paper-bare-bones-dependency 9. oh-2021-contributions-propositional-content-syntactic-category 10. oinam-2018-treebank-healthcare-domain 11. opper-2023-strae-autoencoding-pre-trained-embeddings 12. ortmann-2021-automatic-phrase-recognition-historical-german 13. osterholzer-2012-state-split-hypergraphs-application-tree 14. packard-2014-uw-mrs-leveraging-deep-grammar 15. park-2018-une-note-sur-l-analyse 16. park-2024-structural-optimization-ambiguity-simplicity-bias 17. park-2025-probability-distribution-collapse-critical-bottleneck 18. pauls-2010-hierarchical-parsing-bridge-outside-scores 19. petrov-2007-learning-structured-models-phone-recognition 20. quernheim-2014-large-scale-exact-decoding-ims 21. quirk-2013-semantic-neighborhoods-as-hypergraphs 22. ranjan-2022-discourse-context-predictability-effects-hindi 23. ranjan-2022-dual-mechanism-priming-effects-hindi 24. ranjan-2024-interference-predicts-locality-evidence-sov 25. ribeyre-2015-because-syntax-does-matter-improving 26. rikters-2016-neural-network-language-models-candidate 27. roberts-2014-subcategorisation-acquisition-raw-text-free 28. roux-2011-modeles-generatif-et-discriminant-en 29. saez-2009-statistical-confidence-measures-probabilistic-parsing 30. saluja-2014-latent-variable-synchronous-cfgs-hierarchical 31. schijndel-2012-connectionist-inspired-incremental-pcfg-parsing 32. schlund-2014-fast-accurate-unlexicalized-parsing-structural 33. seddah-2012-ubiquitous-usage-broad-coverage-french 34. sigogne-2011-french-parsing-enhanced-word-clustering 35. sigogne-2011-integration-data-syntactic-lexicon-into 36. silva-2010-top-performing-robust-constituency-parsing 37. srivastava-2009-percolated-dependencies-phrase-extraction-smt 38. stanojevic-2015-reordering-grammar-induction 39. sun-2013-capturing-long-distance-dependencies-sequence 40. sun-2016-accurate-efficient-chinese-part-speech 41. tu-2012-combining-sparsity-unambiguity-biases-grammar 42. versley-2016-discontinuity-re-texttwosuperior-visited-minimalist 43. wang-2014-sas-statistical-machine-translation-system 44. wu-2008-improved-crf-based-chinese-language 45. xu-2010-chinese-lpcfg-parser-hybrid-character 46. yamangil-2013-nonparametric-bayesian-inference-efficient-parsing 47. zhang-2012-stacking-heterogeneous-joint-models-chinese 48. zhang-2019-language-modeling-shared-grammar 49. zhou-2011-improving-dependency-parsing-fined-grained 50. zhu-2010-heterogeneous-parsing-collaborative-decoding 51. zhu-2012-learning-better-rule-extraction-translation Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-4/) · **5** - [← previous Who cites «Learning Accurate, Compact, and Interpretable Tree Annotation» · page 4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-4/) - [next → Who cites «Integrated Morphological and Syntactic Disambiguation for Modern Hebrew»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-tsarfaty-integrated-morphological-syntactic-disambiguation-modern/) - [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)