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Cross-language text classification

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SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 645 - 646

https://doi.org/10.1145/1076034.1076170

Published: 15 August 2005 Publication History

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Abstract

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References

[1]

G. Minnen et al. Applied morphological processing of English. Natural Language Engineering, 7(3):207--223, 2001.

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J. Curín, M. Čmejrek. Automatic translation lexicon extraction from Czech-English parallel texts. Prague Bulletin of Mathematical Linguistics, 71:47--58, 1999.

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J. Hajič. Disambiguation of Rich Inflection -Computational Morphology of Czech. Prague Karolinum, Charles University Press, 2004. 334 pp.

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J. Hajič et al. Prague Czech-English Dependency Treebank 1.0. CD-ROM. Catalog no. LDC2004T25. Linguistic Data Consortium, Philadelphia, PA., 2004.

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Bağcı Daş D(2024)Predicting medical drug usage intentions via SGD-based text classification modelInternational Advanced Researches and Engineering Journal10.35860/iarej.1495330Online publication date: 14-Dec-2024
https://doi.org/10.35860/iarej.1495330
Mezzanzanica MMercorio F(2019)Big Data Enables Labor Market IntelligenceEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_276(226-236)Online publication date: 20-Feb-2019
https://doi.org/10.1007/978-3-319-77525-8_276
Tian MHuang ZCui R(2018)Labeled Bilingual Topic Model for Cross-Lingual Text Classification and Label Recommendation2018 5th International Conference on Information Science and Control Engineering (ICISCE)10.1109/ICISCE.2018.00067(285-289)Online publication date: Jul-2018
https://doi.org/10.1109/ICISCE.2018.00067
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Index Terms

Cross-language text classification
1. Information systems
  1. Information systems applications

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Published In

SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

August 2005

708 pages

ISBN:1595930345

DOI:10.1145/1076034

General Chairs:
Ricardo Baeza-Yates
University of Chile, Chile
,
Nivio Ziviani
Federal University of Minas Gerais, Brazil
,
Program Chairs:
Gary Marchionini
University of North Carolina, USA
,
Alistair Moffat
University of Melbourne, Australia
,
John Tait
University of Sunderland, UK

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Association for Computing Machinery

New York, NY, United States

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Published: 15 August 2005

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SIGIR05: The 28th ACM/SIGIR International Symposium on Information Retrieval 2005

August 15 - 19, 2005

Salvador, Brazil

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Bağcı Daş D(2024)Predicting medical drug usage intentions via SGD-based text classification modelInternational Advanced Researches and Engineering Journal10.35860/iarej.1495330Online publication date: 14-Dec-2024
https://doi.org/10.35860/iarej.1495330
Mezzanzanica MMercorio F(2019)Big Data Enables Labor Market IntelligenceEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_276(226-236)Online publication date: 20-Feb-2019
https://doi.org/10.1007/978-3-319-77525-8_276
Tian MHuang ZCui R(2018)Labeled Bilingual Topic Model for Cross-Lingual Text Classification and Label Recommendation2018 5th International Conference on Information Science and Control Engineering (ICISCE)10.1109/ICISCE.2018.00067(285-289)Online publication date: Jul-2018
https://doi.org/10.1109/ICISCE.2018.00067
Mezzanzanica MMercorio F(2018)Big Data Enables Labor Market IntelligenceEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_276-1(1-11)Online publication date: 1-Feb-2018
https://doi.org/10.1007/978-3-319-63962-8_276-1
Wehrmann JBecker WCagnini HBarros R(2017)A character-based convolutional neural network for language-agnostic Twitter sentiment analysis2017 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN.2017.7966145(2384-2391)Online publication date: May-2017
https://doi.org/10.1109/IJCNN.2017.7966145
Diallo BLupu M(2017)Future Patent SearchCurrent Challenges in Patent Information Retrieval10.1007/978-3-662-53817-3_17(433-455)Online publication date: 26-Mar-2017
https://doi.org/10.1007/978-3-662-53817-3_17
Zhang PWang SLi D(2016)Cross-lingual sentiment classificationKnowledge-Based Systems10.1016/j.knosys.2016.06.004107:C(129-141)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.knosys.2016.06.004
Heyman GVulić IMoens M(2016)C-BiLDA extracting cross-lingual topics from non-parallel texts by distinguishing shared from unshared contentData Mining and Knowledge Discovery10.1007/s10618-015-0442-x30:5(1299-1323)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1007/s10618-015-0442-x
Wang HNie FHuang H(2015)Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix TrifactorizationACM Transactions on Knowledge Discovery from Data10.1145/271002110:1(1-29)Online publication date: 27-Jul-2015
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Král P(2014)Named Entities as New Features for Czech Document ClassificationProceedings of the 15th International Conference on Computational Linguistics and Intelligent Text Processing - Volume 840410.1007/978-3-642-54903-8_35(417-427)Online publication date: 6-Apr-2014
https://dl.acm.org/doi/10.1007/978-3-642-54903-8_35
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Urdu text classification

Wikipedia-based cross-language text classification

Cross-Lingual Adaptation Using Structural Correspondence Learning

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