Joint learning and inference for grammatical error correction

EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2013, Pages 791-802

  Rozovskaya, Alla ^a   Roth, Dan ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

GRAMMATICAL ERRORS; ILLINOIS; JOINT LEARNING; JOINT METHOD; LINGUISTIC STRUCTURE; MULTIPLE CHANGES; SENTENCE LEVEL; STATE-OF-THE-ART SYSTEM;

ERROR CORRECTION;

EID: 84906923296     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (35)

1. C. Bishop. 1995. Neural Networks for Pattern Recognition, chapter 6.4: Modelling conditional distributions. Oxford University Press.
2. T. Brants and A. Franz. 2006. Web 1T 5-gram Version 1. Linguistic Data Consortium, Philadelphia, PA.
3. C. Brockett, D. B. William, and M. Gamon. 2006. Correcting ESL errors using phrasal SMT techniques. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 249-256, Sydney, Australia, July. Association for Computational Linguistics.
4. A. J. Carlson, J. Rosen, and D. Roth. 2001. Scaling up context sensitive text correction. In IAAI.
5. J. Clarke and M. Lapata. 2007. Modelling compression with discourse constraints. In Proceedings of the 2007 Joint Conference of EMNLP-CoNLL.
6. D. Dahlmeier and H.T Ng. 2012. A beam-search decoder for grammatical error correction. In EMNLP-CoNLL, Jeju Island, Korea, July. Association for Computational Linguistics.
7. D. Dahlmeier, H.T. Ng, and S.M. Wu. 2013. Building a large annotated corpus of learner english: The nus corpus of learner english. In Proc. of the NAACL HLT 2013 Eighth Workshop on Innovative Use of NLP for Building Educational Applications, Atlanta, Georgia, June. Association for Computational Linguistics.
8. R. Dale and A. Kilgarriff. 2011. Helping Our Own: The HOO 2011 pilot shared task. In Proceedings of the 13th European Workshop on Natural Language Generation.
9. R. Dale, I. Anisimoff, and G. Narroway. 2012. A report on the preposition and determiner error correction shared task. In Proc. of the NAACL HLT 2012 Seventh Workshop on Innovative Use of NLP for Building Educational Applications, Montreal, Canada, June. Association for Computational Linguistics.
10. R. De Felice and S. Pulman. 2008. A classifier-based approach to preposition and determiner error correction in L2 English. In Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), pages 169-176, Manchester, UK, August.
11. Y. Freund and R. E. Schapire. 1996. Experiments with a new boosting algorithm. In Proc. 13th International Conference on Machine Learning.
12. M. Gamon, J. Gao, C. Brockett, A. Klementiev, W. Dolan, D. Belenko, and L. Vanderwende. 2008. Using contextual speller techniques and language modeling for ESL error correction. In Proceedings of IJCNLP.
13. M. Gamon. 2010. Using mostly native data to correct errors in learners' writing. In NAACL, pages 163-171, Los Angeles, California, June.
14. A. R. Golding and D. Roth. 1999. A Winnow based approach to context-sensitive spelling correction. Machine Learning.
15. N. Han, M. Chodorow, and C. Leacock. 2006. Detecting errors in English article usage by non-native speakers. Journal of Natural Language Engineering, 12(2):115-129.
16. E. Izumi, K. Uchimoto, T. Saiga, T. Supnithi, and H. Isahara. 2003. Automatic error detection in the Japanese learners' English spoken data. In The Companion Volume to the Proceedings of 41st Annual Meeting of the Association for Computational Linguistics, pages 145-148, Sapporo, Japan, July.
17. J. Lee and S. Seneff. 2008. Correcting misuse of verb forms. In ACL, pages 174-182, Columbus, Ohio, June. Association for Computational Linguistics.
18. N. Madnani, M. Chodorow, J. Tetreault, and A. Rozovskaya. 2011. They can help: Using crowdsourcing to improve the evaluation of grammatical error detection systems. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 508-513, Portland, Oregon, USA, June. Association for Computational Linguistics.
19. M. Marneffe, B. MacCartney, and Ch. Manning. 2006. Generating typed dependency parses from phrase structure parses. In LREC.
20. A. Martins, Noah N. Smith, M. Figueiredo, and P. Aguiar. 2011. Dual decomposition with many overlapping components. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 238-249, Edinburgh, Scotland, UK., July. Association for Computational Linguistics.
21. H. T. Ng, S. M. Wu, Y. Wu, Ch. Hadiwinoto, and J. Tetreault. 2013. The conll-2013 shared task on grammatical error correction. In Proc. of the Seventeenth Conference on Computational Natural Language Learning. Association for Computational Linguistics.
22. A. Park and R. Levy. 2011. Automated whole sentence grammar correction using a noisy channel model. In ACL, Portland, Oregon, USA, June. Association for Computational Linguistics.
23. V. Punyakanok and D. Roth. 2001. The use of classifiers in sequential inference. In NIPS.
24. V. Punyakanok, D. Roth, and W. Yih. 2008. The importance of syntactic parsing and inference in semantic role labeling. Computational Linguistics, 34(2).
25. D. Roth and W. Yih. 2004. A linear programming formulation for global inference in natural language tasks. In Hwee Tou Ng and Ellen Riloff, editors, CoNLL.
26. A. Rozovskaya and D. Roth. 2010a. Annotating ESL errors: Challenges and rewards. In Proceedings of the NAACL Workshop on Innovative Use of NLP for Building Educational Applications.
27. A. Rozovskaya and D. Roth. 2010b. Generating confusion sets for context-sensitive error correction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
28. A. Rozovskaya and D. Roth. 2010c. Training paradigms for correcting errors in grammar and usage. In NAACL.
29. A. Rozovskaya and D. Roth. 2011. Algorithm selection and model adaptation for ESL correction tasks. In ACL.
30. A. Rozovskaya, M. Sammons, J. Gioja, and D. Roth. 2011. University of Illinois system in HOO text correction shared task.
31. A. Rozovskaya, M. Sammons, and D. Roth. 2012. The UI system in the HOO 2012 shared task on error correction.
32. A. Rozovskaya, K.-W. Chang, M. Sammons, and D. Roth. 2013. The University of Illinois system in the CoNLL-2013 shared task. In CoNLL Shared Task.
33. C. Sutton and A. McCallum. 2007. Piecewise pseudolikelihood for efficient training of conditional random fields. In Zoubin Ghahramani, editor, ICML.
34. J. Tetreault and M. Chodorow. 2008. The ups and downs of preposition error detection in ESL writing. In Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), pages 865-872, Manchester, UK, August.
35. Y. Wu and H.T. Ng. 2013. Grammatical error correction using integer linear programming. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1456-1465, Sofia, Bulgaria, August. Association for Computational Linguistics.