메뉴 건너뛰기




Volumn , Issue , 2009, Pages 138-146

An intrinsic stopping criterion for committee-based active learning

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SUPERVISED LEARNING;

EID: 84858752976     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1596374.1596398     Document Type: Conference Paper
Times cited : (30)

References (25)
  • 1
    • 84880710859 scopus 로고    scopus 로고
    • A two-stage method for active learning of statistical grammars
    • Edinburgh, Scotland, UK
    • Markus Becker and Miles Osborne. 2005. A Two-Stage Method for Active Learning of Statistical Grammars. In Proc 19th IJCAI, Edinburgh, Scotland, UK.
    • (2005) Proc 19th IJCAI
    • Becker, M.1    Osborne, M.2
  • 2
    • 0002652285 scopus 로고    scopus 로고
    • A maximum entropy approach to natural language processing
    • Adam Berger, Stephen A. Della Pietra, and Vincent J. Della Pietra. 1996. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics, 22(1):39-71.
    • (1996) Computational Linguistics , vol.22 , Issue.1 , pp. 39-71
    • Berger, A.1    Pietra, S.A.D.2    Pietra, V.J.D.3
  • 3
    • 85149117258 scopus 로고    scopus 로고
    • Minimizing manual annotation cost in supervised training from corpora
    • Santa Cruz, California, USA
    • Sean P. Engelson and Ido Dagan. 1996. Minimizing Manual Annotation Cost In Supervised Training From Corpora. In Proc 34th ACL, Santa Cruz, California, USA.
    • (1996) Proc 34th ACL
    • Engelson, S.P.1    Dagan, I.2
  • 4
    • 34250637963 scopus 로고    scopus 로고
    • Large-scale text categorization by batch mode active learning
    • Edinburgh, Scotland
    • Steven C. H. Hoi, Rong Jin, and Michael R. Lyu. 2006. Large-Scale Text Categorization by Batch Mode Active Learning. In Proc 15th WWW, Edinburgh, Scotland.
    • (2006) Proc 15th WWW
    • Hoi S.C., H.1    Jin, R.2    Lyu, M.R.3
  • 5
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Williamstown, Massachusetts, USA
    • John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proc 18th ICML, Williamstown, Massachusetts, USA.
    • (2001) Proc 18th ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 6
    • 80053426930 scopus 로고    scopus 로고
    • Stopping criteria for active learning of named entity recognition
    • Manchester, England
    • Florian Laws and Hinrich Schütze. 2008. Stopping Criteria for Active Learning of Named Entity Recognition. In Proc 22nd COLING, Manchester, England.
    • (2008) Proc 22nd COLING
    • Laws, F.1    Schütze, H.2
  • 7
    • 85013879626 scopus 로고
    • A sequential algorithm for training text classifiers
    • Dublin, Ireland
    • David D. Lewis and William A. Gale. 1994. A Sequential Algorithm for Training Text Classifiers. In Proc 17th ACM-SIGIR, Dublin, Ireland.
    • (1994) Proc 17th ACM-SIGIR
    • Lewis, D.D.1    Gale, W.A.2
  • 8
    • 84862300652 scopus 로고    scopus 로고
    • Linguistic Data Consortium, LDC2001T02. FTP FILE. Philadelphia: Linguistic Data Consortium
    • Linguistic Data Consortium. 2001. Message understanding conference (muc) 7. LDC2001T02. FTP FILE. Philadelphia: Linguistic Data Consortium.
    • (2001) Message Understanding Conference (muc) 7
  • 10
    • 0002711083 scopus 로고
    • Text chunking using transformation based learning
    • Massachusetts Institute of Technology, Cambridge,Massachusetts, USA
    • Lance A. Ramshaw and Mitchell P. Marcus. 1995. Text Chunking using Transformation Based Learning. In Proc 3rd VLC, Massachusetts Institute of Technology, Cambridge,Massachusetts, USA.
    • (1995) Proc 3rd VLC
    • Ramshaw, L.A.1    Marcus, M.P.2
  • 12
    • 0007696417 scopus 로고    scopus 로고
    • Less is more: Active learning with support vector machines
    • Stanford University, Stanford, California, USA
    • Greg Schohn and David Cohn. 2000. Less is More: Active Learning with Support Vector Machines. In Proc 17th ICML, Stanford University, Stanford, California, USA.
    • (2000) Proc 17th ICML
    • Schohn, G.1    Cohn, D.2
  • 13
    • 34547628187 scopus 로고    scopus 로고
    • Performance thresholding in practical text classification
    • Arlington, Virginia, USA
    • Hinrich Schütze, Emre Velipasaoglu, and Jan O. Pedersen. 2006. Performance Thresholding in Practical Text Classification. In Proc 15th CIKM, Arlington, Virginia, USA.
    • (2006) Proc 15th CIKM
    • Schütze, H.1    Velipasaoglu, E.2    Pedersen, J.O.3
  • 14
    • 70350693274 scopus 로고    scopus 로고
    • Multi-criteria-based active learning for named entity recognition
    • Barcelona, Spain
    • Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, and Chew-Lim Tan. 2004. Multi-Criteria-based Active Learning for Named Entity Recognition. In Proc 42nd ACL, Barcelona, Spain.
    • (2004) Proc 42nd ACL
    • Shen, D.1    Zhang, J.2    Jian, S.3    Zhou, G.4    Tan, C.-L.5
  • 15
    • 85118916765 scopus 로고    scopus 로고
    • A non- projective dependency parser
    • Washington DC, USA
    • Pasi Tapanainen and Timo Järvinen. 1997. A Non- Projective Dependency Parser. In Proc 5th ANLP, Washington DC, USA.
    • (1997) Proc 5th ANLP
    • Tapanainen, P.1    Järvinen, T.2
  • 16
    • 2942688970 scopus 로고    scopus 로고
    • Active learning for natural language parsing and information extraction
    • Bled, Slovenia
    • Cynthia A. Thompson, Mary Elaine Califf, and Raymond J. Mooney. 1999. Active Learning for Natural Language Parsing and Information Extraction. In Proc 16th ICML, Bled, Slovenia.
    • (1999) Proc 16th ICML
    • Thompson, C.A.1    Califf, M.E.2    Mooney, R.J.3
  • 17
    • 85099019865 scopus 로고    scopus 로고
    • Introduction to the CoNLL-2003 shared task: Language independent named entity recognition
    • Edmonton, Alberta, Canada
    • Erik F. Tjong Kim Sang and Fien De Meulder. 2003. Introduction to the CoNLL-2003 Shared Task: Language Independent Named Entity Recognition. In Proc 7th CoNLL, Edmonton, Alberta, Canada.
    • (2003) Proc 7th CoNLL
    • Sang, E.F.1    Tjong, K.2    de Meulder, F.3
  • 18
    • 84975522959 scopus 로고    scopus 로고
    • Approximating learning curves for active-learning-driven annotation
    • Marrakech, Morocco
    • Katrin Tomanek and Udo Hahn. 2008. Approximating Learning Curves for Active-Learning-Driven Annotation. In Proc 6th LREC, Marrakech, Morocco.
    • (2008) Proc 6th LREC
    • Tomanek, K.1    Hahn, U.2
  • 19
    • 56649102769 scopus 로고    scopus 로고
    • An approach to text corpus construction which cuts annotation costs and maintains reusability of annotated data
    • Prague, Czech Republic
    • Katrin Tomanek, Joachim Wermter, and Udo Hahn. 2007. An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data. In Proc Joint EMNLP-CoNLL, Prague, Czech Republic.
    • (2007) Proc Joint EMNLP-CoNLL
    • Tomanek, K.1    Wermter, J.2    Hahn, U.3
  • 20
    • 40149096977 scopus 로고    scopus 로고
    • A stopping criterion for active learning
    • July
    • Andreas Vlachos. 2008. A Stopping Criterion for Active Learning. Computer, Speech and Language, 22(3):295-312, July.
    • (2008) Computer, Speech and Language , vol.22 , Issue.3 , pp. 295-312
    • Vlachos, A.1
  • 21
    • 0034247206 scopus 로고    scopus 로고
    • Multi boosting: A technique for combining boosting and wagging
    • August
    • Geoffrey I. Webb. 2000. Multi Boosting: A Technique for Combining Boosting and Wagging. Machine Learning, 40(2):159-196, August.
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 159-196
    • Webb, G.I.1
  • 23
    • 80053363150 scopus 로고    scopus 로고
    • Active learning for word sense disambiguation with methods for addressing the class imbalance problem
    • Prague, Czech Republic
    • Jingbo Zhu and Eduard Hovy. 2007. Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem. In Proc Joint EMNLP-CoNLL, Prague, Czech Republic.
    • (2007) Proc Joint EMNLP-CoNLL
    • Zhu, J.1    Hovy, E.2
  • 24
    • 85120336132 scopus 로고    scopus 로고
    • Learning a stopping criterion for active learning for word sense disambiguation and text classification
    • Hyderabad, India
    • Jingbo Zhu, Huizhen Wang, and Eduard Hovy. 2008a. Learning a Stopping Criterion for Active Learning for Word Sense Disambiguation and Text Classification. In Proc 3rd IJCNLP, Hyderabad, India.
    • (2008) Proc 3rd IJCNLP
    • Zhu, J.1    Wang, H.2    Hovy, E.3
  • 25
    • 80053426910 scopus 로고    scopus 로고
    • Multi-criteria-based strategy to stop active learning for data annotation
    • Manchester, England
    • Jingbo Zhu, Huizhen Wang, and Eduard Hovy. 2008b. Multi-Criteria-based Strategy to Stop Active Learning for Data Annotation. In Proc 22nd COLING, Manchester, England.
    • (2008) Proc 22nd COLING
    • Zhu, J.1    Wang, H.2    Hovy, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.