메뉴 건너뛰기




Volumn , Issue , 2012, Pages 9-17

Semi-automatic Annotation of Chinese Word Structure

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; ITERATIVE METHODS; MAXIMUM ENTROPY METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84907330452     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (35)
  • 3
    • 0031620208 scopus 로고    scopus 로고
    • Combining labeled and unlabeled data with co-training
    • Madison, USA
    • Avrim Blum and Tom Mitchell. 1998. Combining labeled and unlabeled data with co-training. In Proceedings of COLT, pp. 92-100. Madison, USA.
    • (1998) Proceedings of COLT , pp. 92-100
    • Blum, Avrim1    Mitchell, Tom2
  • 7
    • 22944440603 scopus 로고    scopus 로고
    • Wordhood in Chinese
    • Jerome J. Packard ed. Mouton de Gruyter, New York, USA
    • San Duanmu. 1997. "Wordhood in Chinese", in Jerome J. Packard ed. New Approaches to Chinese Word Formation, pp. 135-196. Mouton de Gruyter, New York, USA.
    • (1997) New Approaches to Chinese Word Formation , pp. 135-196
    • Duanmu, San1
  • 9
    • 84927456153 scopus 로고
    • Phrase structure, lexical integrity, and Chinese compounds
    • James
    • James C. T. Huang. 1984. Phrase structure, lexical integrity, and Chinese compounds. Journal of the Chinese Language Teachers Association, 19(2): 53-78.
    • (1984) Journal of the Chinese Language Teachers Association , vol.19 , Issue.2 , pp. 53-78
    • Huang, C. T.1
  • 10
    • 84859904385 scopus 로고    scopus 로고
    • A cascaded linear model for joint Chinese word segmentation and part-of-speech tagging
    • Columbus, USA
    • Wenbin Jiang, Liang Huang, Qun Liu, Yajuan Lu. 2008. A cascaded linear model for joint Chinese word segmentation and part-of-speech tagging. In Proceedings of ACL: HLT, pp.897-904. Columbus, USA.
    • (2008) Proceedings of ACL: HLT , pp. 897-904
    • Jiang, Wenbin1    Huang, Liang2    Liu, Qun3    Lu, Yajuan4
  • 11
    • 0002719797 scopus 로고
    • The Hungarian Method for the assignment problem
    • Harold Kuhn. 1955. The Hungarian Method for the assignment problem. Naval Research Logistics Quarterly, 2:83–97.
    • (1955) Naval Research Logistics Quarterly , vol.2 , pp. 83-97
    • Kuhn, Harold1
  • 12
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: probabilistic models for segmenting and labeling sequence data
    • Williamstown, MA, USA
    • John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML, pp. 282-289. Williamstown, MA, USA
    • (2001) Proceedings of ICML , pp. 282-289
    • Lafferty, John1    McCallum, Andrew2    Pereira, Fernando3
  • 14
    • 84857305661 scopus 로고    scopus 로고
    • Parsing the internal structure of words: A new paradigm for Chinese word segmentation
    • Portland, Oregon, USA
    • Zhongguo Li. 2011. Parsing the internal structure of words: A new paradigm for Chinese word segmentation. In Proceedings of ACL: HLT, pp. 1405-1414. Portland, Oregon, USA.
    • (2011) Proceedings of ACL: HLT , pp. 1405-1414
    • Li, Zhongguo1
  • 15
    • 84883376580 scopus 로고    scopus 로고
    • Unified dependency parsing of Chinese morphological and syntactic structures
    • Jeji, Korea
    • Zhongguo Li and Guodong Zhou. 2012. Unified dependency parsing of Chinese morphological and syntactic structures. In Proceedings of EMNLPCoNLL, pp. 1445-1454. Jeji, Korea.
    • (2012) Proceedings of EMNLPCoNLL , pp. 1445-1454
    • Li, Zhongguo1    Zhou, Guodong2
  • 17
    • 33750027607 scopus 로고    scopus 로고
    • Semi-supervised Text Classification Using EM
    • Chapelle, O., Zien, A., and Scholkopf, B. (Eds) MIT Press: Boston
    • Kamal Nigam, Andrew McCallum and Tom Mitchell. 2006. Semi-supervised Text Classification Using EM. In Chapelle, O., Zien, A., and Scholkopf, B. (Eds.) Semi-Supervised Learning, 33-56. MIT Press: Boston.
    • (2006) Semi-Supervised Learning , pp. 33-56
    • Nigam, Kamal1    McCallum, Andrew2    Mitchell, Tom3
  • 19
    • 85116342676 scopus 로고    scopus 로고
    • Chinese segmentation and new word detection using conditional random fields
    • Geneva, Switzerland
    • Fuchun Peng, Fangfang Feng, and Andrew McCallum. 2004. Chinese segmentation and new word detection using conditional random fields. In Proceedings of COLING, pp. 562-568. Geneva, Switzerland.
    • (2004) Proceedings of COLING , pp. 562-568
    • Peng, Fuchun1    Feng, Fangfang2    McCallum, Andrew3
  • 21
    • 80053248414 scopus 로고    scopus 로고
    • Word-based and character-based word segmentation models: Comparison and combination
    • Beijing, China
    • Weiwei Sun. 2010. Word-based and character-based word segmentation models: Comparison and combination. In Proceedings COLING. pp. 1211-1219. Beijing, China.
    • (2010) Proceedings COLING , pp. 1211-1219
    • Sun, Weiwei1
  • 22
    • 84857264083 scopus 로고    scopus 로고
    • A stacked sub-word model for joint Chinese word segmentation and part-of-speech tagging
    • Portland, USA
    • Weiwei Sun. 2011. A stacked sub-word model for joint Chinese word segmentation and part-of-speech tagging. In Proceedings ACL:HLT, pp. 1385-1394. Portland, USA.
    • (2011) Proceedings ACL:HLT , pp. 1385-1394
    • Sun, Weiwei1
  • 23
    • 80053221622 scopus 로고    scopus 로고
    • Enhancing Chinese word segmentation using unlabeled data
    • Edinburgh, UK
    • Weiwei Sun and Jia Xu. 2011. Enhancing Chinese word segmentation using unlabeled data. In Proceedings EMNLP, pp. 970-979. Edinburgh, UK.
    • (2011) Proceedings EMNLP , pp. 970-979
    • Sun, Weiwei1    Xu, Jia2
  • 24
    • 80053417765 scopus 로고    scopus 로고
    • A character-based joint model for Chinese word segmentation
    • Beijing, China
    • Kun Wang, Chengqing Zong and Keh-Yih Su. 2010. A character-based joint model for Chinese word segmentation. In Proceedings of COLING, pp. 1173-1181. Beijing, China.
    • (2010) Proceedings of COLING , pp. 1173-1181
    • Wang, Kun1    Zong, Chengqing2    Su, Keh-Yih3
  • 27
    • 20444401478 scopus 로고    scopus 로고
    • The Penn Chinese Tree bank: Phrase structure annotation of a large corpus
    • Nianwen Xue, Fei Xia, Fu-Dong Chiou, and Martha Palmer. 2005. The Penn Chinese Tree bank: Phrase structure annotation of a large corpus. Natural Language Engineering, 11(2) 207-238.
    • (2005) Natural Language Engineering , vol.11 , Issue.2 , pp. 207-238
    • Xue, Nianwen1    Xia, Fei2    Chiou, Fu-Dong3    Palmer, Martha4
  • 28
    • 85141919230 scopus 로고
    • Unsupervised word sense disambiguation rivaling supervised methods
    • Cambridge, USA
    • Davide Yarowsky. 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of ACL, pp. 189-196. Cambridge, USA.
    • (1995) Proceedings of ACL , pp. 189-196
    • Yarowsky, Davide1
  • 29
    • 84859889773 scopus 로고    scopus 로고
    • Joint word segmentation and POS tagging using a single perceptron
    • Columbus, USA
    • Yue Zhang and Stephen Clark. 2008. Joint word segmentation and POS tagging using a single perceptron. In Proceedings of ACL: HLT, pp. 888-896. Columbus, USA.
    • (2008) Proceedings of ACL: HLT , pp. 888-896
    • Zhang, Yue1    Clark, Stephen2
  • 30
    • 84859915870 scopus 로고    scopus 로고
    • Character-level dependencies in Chinese: usefulness and learning, pp. 879-887
    • Athens, Greece
    • Hai Zhao. 2009. Character-level dependencies in Chinese: usefulness and learning, pp. 879-887. In Proceedings of EACL, pp. 879-887. Athens, Greece.
    • (2009) Proceedings of EACL , pp. 879-887
    • Zhao, Hai1
  • 31
    • 84871054273 scopus 로고    scopus 로고
    • Unsupervised segmentation helps supervised learning of word segmentation and named entity recognition
    • Hyderabad, India
    • Hai Zhao and Chunyu Kit. 2008. Unsupervised segmentation helps supervised learning of word segmentation and named entity recognition. In Proceedings of the Sixth SIGHAN Workshop on Chinese Language Processing, pp. 106-111. Hyderabad, India.
    • (2008) Proceedings of the Sixth SIGHAN Workshop on Chinese Language Processing , pp. 106-111
    • Zhao, Hai1    Kit, Chunyu2
  • 32
    • 84873966124 scopus 로고    scopus 로고
    • How large a corpus do we need: Statistical method vs. rule-based Method
    • Malta
    • Hai Zhao, Yan Song and Chunyu Kit. 2010. How large a corpus do we need: Statistical method vs. rule-based Method. In Proceedings of LREC, pp. 1672-1677. Malta.
    • (2010) Proceedings of LREC , pp. 1672-1677
    • Zhao, Hai1    Song, Yan2    Kit, Chunyu3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.