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Volumn , Issue , 2008, Pages 2509-2514

Improving NER in Arabic using a morphological tagger

Author keywords

[No Author keywords available]

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS;

EID: 85037142389     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (13)
  • 5
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
    • Michael Collins. 2002. Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithms. In Proceedings of EMNLP 2002.
    • (2002) Proceedings of EMNLP 2002
    • Collins, M.1
  • 6
    • 33645103900 scopus 로고    scopus 로고
    • Trained named entity recognition using distributional clusters
    • Dayne Freitag. 2004. Trained named entity recognition using distributional clusters. In Proceedings of EMNLP 2004.
    • (2004) Proceedings of EMNLP 2004
    • Freitag, D.1
  • 7
    • 84859910518 scopus 로고    scopus 로고
    • Arabic tokenization, part-of-speech tagging and morphological disambiguation in one fell swoop
    • Ann Arbor, Michigan, June. Association for Computational Linguistics
    • Nizar Habash and Owen Rambow. 2005. Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05), pages 573-580, Ann Arbor, Michigan, June. Association for Computational Linguistics.
    • (2005) Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05) , pp. 573-580
    • Habash, N.1    Rambow, O.2
  • 9
    • 77149145543 scopus 로고    scopus 로고
    • Arabic morphological representations for machine translation
    • A. van den Bosch and A. Soudi, editors, Springer
    • Nizar Habash. 2007. Arabic Morphological Representations for Machine Translation. In A. van den Bosch and A. Soudi, editors, Arabic Computational Morphology: Knowledge-based and Empirical Methods. Springer.
    • (2007) Arabic Computational Morphology: Knowledge-based and Empirical Methods
    • Habash, N.1
  • 10
    • 1642296635 scopus 로고    scopus 로고
    • Efficient support vector classifiers for named entity recognition
    • H. Isozaki and H. Kazawa. 2002. Efficient support vector classifiers for named entity recognition. In Proceedings of COLING 2002.
    • (2002) Proceedings of COLING 2002
    • Isozaki, H.1    Kazawa, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.