Joint word segmentation, POS-Tagging and syntactic chunking

30th AAAI Conference on Artificial Intelligence, AAAI 2016

Volumn , Issue , 2016, Pages 3007-3014

  Lyu, Chen ^a   Zhang, Yue ^b   Ji, Donghong ^a  

^a WUHAN UNIVERSITY   (China)

^b SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; SUPERVISED LEARNING;

AUTOMATIC SEGMENTATIONS; CLUSTER FEATURE; GOLD STANDARDS; JOINT MODELING; POS TAGGING; SEMI-SUPERVISED; SEMI-SUPERVISED METHOD; WORD SEGMENTATION;

COMPUTATIONAL LINGUISTICS;

EID: 85007189886     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. Abney, S. P. 1991. Parsing by chunks. In Robert C. Berwick, Steven P. Abney, and Carol Tenny, editors, Principle-Based Parsing, 257-278.
2. Chen, W.; Kazama, J.; Uchimoto, K.; and Torisawa, K. 2009. Improving dependency parsing with subtrees from auto-parsed data. In Proceedings of EMNLP, 570-579.
3. Chen, W.; Zhang, Y.; and Isahara, H. 2006. An empirical study of chinese chunking. In Proceddings of ACL, 97-104.
4. Collins, M., and Roark, B. 2004. Incremental parsing with the perceptron algorithm. In Proceedings of ACL, 111-118.
5. Collins, M. 2002. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of EMNLP, 1-8.
6. Finkel, J. R., and Manning, C. D. 2009. Nested named entity recognition. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1, 141-150.
7. Hatori, J.; Matsuzaki, T.; Miyao, Y.; and Tsujii, J. 2012. Incremental joint approach to word segmentation, pos tagging, and dependency parsing in chinese. In Proceddings of ACL, volume 1, 1045-1053.
8. Kudo, T., and Matsumoto, Y. 2000. Use of support vector learning for chunk identification. In Proceedings of CoNLL- 2000 and LLL-2000, 142-144.
9. Kudo, T., and Matsumoto, Y. 2001. Chunking with support vector machines. Journal of Natural Language Processing 9(107): 3-21.
10. Li, Z., and Zhou, G. 2012. Unified dependency parsing of chinese morphological and syntactic structures. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 1445-1454. Stroudsburg, PA, USA: Association for Computational Linguistics.
11. Li, H.; Webster, J. J.; and Yao, T. 2003. Transductive hmm based chinese text chunking. In Proceedings of IEEE NLPKE2003, 257-262.
12. McDonald, R.; Crammer, K.; and Pereira, F. 2005. Flexible text segmentation with structured multilabel classification. In In Proceddings of HLT-EMNLP, 987-994.
13. Nianwen, X.; Fei, X.; Shizhe, H.; and Anthony, K. 2000. The bracketing guidelines for the penn chinese treebank. Technical report, University of Pennsylvania.
14. Sang, T. K., and Buchholz, S. 2000. Introduction to the conll-2000 shared task: Chunking. In Proceedings of Conference on Computational Natural Language Learning Conll.
15. Sha, F., and Pereira, F. 2003. Shallow parsing with conditional random fields. In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1, 213-220.
16. Sun, G.; Liu, Y.; Qiao, P.; and Lang, F. 2008. Chinese chunking algorithm based on cascaded conditional random fields. In Proceedings of the 11th Joint Conference on Information Sciences, 2509 - 2513.
17. Tan, Y.; Yao, T.; Chen, Q.; and Zhu, J. 2004. Chinese chunk identification using svms plus sigmoid. In Proceedings of IJCNLP2004, 527-536.
18. Tan, Y.; Yao, T.; and Chen, Q. 2005. Applying conditional random fields to chinese shallow parsing. In Proceedings of CICLing2005, 167-176.
19. Wang, M.; Che, W.; and Manning, C. D. 2013. Joint word alignment and bilingual named entity recognition using dual decomposition. In Proceedings of ACL, 1073-1082.
20. Wu, S. H.; Shih, C. W.; Wu, C. W.; Tsai, T. H.; and Hsu, W. L. 2005. Applying maximum entropy to robust chinese shallow parsing. In Proceedings of ROCLING2005.
21. Yang, B., and Cardie, C. 2013. Joint inference for finegrained opinion extraction. In Proceedings of ACL, 1640- 1649.
22. Yao, L.; Li, M.; and Huang, C. 2007. Improving chinese chunking with enriched statistical and morphological knowledge. In Proceedings of IEEE NLP-KE2007, 149 - 156.
23. Zhang, Y., and Clark, S. 2010. A fast decoder for joint word segmentation and pos-Tagging using a single discriminative model. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 843- 852. Stroudsburg, PA, USA: Association for Computational Linguistics.
24. Zhang, Y., and Clark, S. 2011. Syntactic processing using the generalized perceptron and beam search. Computational Linguistics 37(1):105-151.
25. Zhang, M.; Zhang, Y.; Che, W.; and Liu, T. 2013. Chinese parsing exploiting characters. In Proceedings of ACL.
26. Zhang, T.; Damerau, F.; and Johnson, D. 2002. Text chunking based on a generalization of winnow. The Journal of Machine Learning Research 2:615-637.
27. Zhao, T.; Yang, M.; Liu, F.; Yao, J.; and Yu, H. 2000. Statistics based hybrid approach to chinese base phrase identification. In Proceedings of Second Chinese Language Processing Workshop, 73-77.
28. Zhou, J.; Qu, W.; and Zhang, F. 2012. Exploiting chunklevel features to improve phrase chunking. In Proceedings of EMNLP-CONLL, 557-567. Stroudsburg, PA, USA: Association for Computational Linguistics.