메뉴 건너뛰기




Volumn , Issue , 2013, Pages 2375-2380

Identifying salient entities in web pages

Author keywords

Content analysis; Document aboutness; Entity salience

Indexed keywords

CLASSIFICATION FUNCTIONS; CONTENT ANALYSIS; DOCUMENT ABOUTNESS; DOCUMENT CONTENTS; ENTITY SALIENCE; HUMAN ANNOTATIONS; LABELING METHODOLOGY; RESEARCH COMMUNITIES;

EID: 84889600952     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2505515.2505602     Document Type: Conference Paper
Times cited : (37)

References (31)
  • 3
    • 21144444733 scopus 로고    scopus 로고
    • Extracting content structure for web pages based on visual representation
    • D. Cai, S. Yu, J. Wen, and W. Ma. Extracting content structure for web pages based on visual representation. Web Technologies and Applications, pages 406-417, 2003.
    • (2003) Web Technologies and Applications , pp. 406-417
    • Cai, D.1    Yu, S.2    Wen, J.3    Ma, W.4
  • 4
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
    • M. Collins. Discriminative training methods for hidden markov models: theory and experiments with perceptron algorithms. In Proceedings of EMNLP, 2002.
    • (2002) Proceedings of EMNLP
    • Collins, M.1
  • 6
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. H. Friedman. Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29:1189-1232, 1999.
    • (1999) Annals of Statistics , vol.29 , pp. 1189-1232
    • Friedman, J.H.1
  • 8
    • 0035395804 scopus 로고    scopus 로고
    • Towards a theory of aboutness, subject, topicality, theme, domain, field, content. and relevance
    • B. Hjørland. Towards a theory of aboutness, subject, topicality, theme, domain, field, content. and relevance. Journal of the American Society for Information Science and Technology, 52(9):774-778, 2001.
    • (2001) Journal of the American Society for Information Science and Technology , vol.52 , Issue.9 , pp. 774-778
    • Hjørland, B.1
  • 9
    • 9444255844 scopus 로고    scopus 로고
    • Preference mining: A novel approach on mining user preferences for personalized applications
    • S. Holland, M. Ester, and W. Kießling. Preference mining: A novel approach on mining user preferences for personalized applications. Knowledge Discovery in Databases: PKDD 2003, pages 204-216, 2003.
    • (2003) Knowledge Discovery in Databases: PKDD 2003 , pp. 204-216
    • Holland, S.1    Ester, M.2    Kießling, W.3
  • 10
    • 0003100146 scopus 로고    scopus 로고
    • Automated text summarization and the summarist system
    • Maryland: October 13-15
    • E. Hovy and C. Y. Lin. Automated text summarization and the summarist system. In Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998, 1998.
    • (1998) Proceedings of a Workshop on Held at Baltimore , pp. 1998
    • Hovy, E.1    Lin, C.Y.2
  • 11
    • 85128484571 scopus 로고    scopus 로고
    • Improved automatic keyword extraction given more linguistic knowledge
    • A. Hulth. Improved automatic keyword extraction given more linguistic knowledge. In Proceedings of EMNLP, 2003.
    • (2003) Proceedings of EMNLP
    • Hulth, A.1
  • 12
    • 0004637499 scopus 로고
    • On the problem of 'aboutness' in document analysis
    • W. Hutchins. On the problem of 'aboutness' in document analysis. Journal of Informatics, 1(1):17-35, 1977.
    • (1977) Journal of Informatics , vol.1 , Issue.1 , pp. 17-35
    • Hutchins, W.1
  • 14
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • T. Joachims. Optimizing search engines using clickthrough data. In Proceedings of SIGKDD, 2002.
    • (2002) Proceedings of SIGKDD
    • Joachims, T.1
  • 16
    • 62949084554 scopus 로고    scopus 로고
    • Minimally supervised learning of semantic knowledge from query logs
    • M. Komachi and H. Suzuki. Minimally supervised learning of semantic knowledge from query logs. In Proceedings of IJCNLP, 2008.
    • (2008) Proceedings of IJCNLP
    • Komachi, M.1    Suzuki, H.2
  • 18
    • 0000600219 scopus 로고    scopus 로고
    • A solution to plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge
    • T. Landauer and S. Dumais. A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104(2):211-240, 1997.
    • (1997) Psychological Review , vol.104 , Issue.2 , pp. 211-240
    • Landauer, T.1    Dumais, S.2
  • 20
    • 0001238973 scopus 로고    scopus 로고
    • From discourse structures to text summaries
    • D. Marcu. From discourse structures to text summaries. In Proceedings of ACL, 1997.
    • (1997) Proceedings of ACL
    • Marcu, D.1
  • 21
    • 74549208572 scopus 로고    scopus 로고
    • Learning document aboutness from implicit user feedback and document structure
    • D. Paranjpe. Learning document aboutness from implicit user feedback and document structure. In Proceedings of CIKM, 2009.
    • (2009) Proceedings of CIKM
    • Paranjpe, D.1
  • 22
    • 84880914260 scopus 로고    scopus 로고
    • What you seek is what you get: Extraction of class attributes from query logs
    • M. Paşca and B. V. Durme. What you seek is what you get: Extraction of class attributes from query logs. In Proceedings of IJCAI, 2007.
    • (2007) Proceedings of IJCAI
    • Paşca, M.1    Durme, B.V.2
  • 23
    • 71049121065 scopus 로고
    • Formalization of the concept 'About'
    • H. Putnam. Formalization of the concept 'About'. Philosophy of Science, 25(2):125-130, 1958.
    • (1958) Philosophy of Science , vol.25 , Issue.2 , pp. 125-130
    • Putnam, H.1
  • 24
    • 32344431861 scopus 로고    scopus 로고
    • Query chains: Learning to rank from implicit feedback
    • F. Radlinski and T. Joachims. Query Chains: Learning to rank from implicit feedback. In Proceedings of SIGKDD, 2005.
    • (2005) Proceedings of SIGKDD
    • Radlinski, F.1    Joachims, T.2
  • 25
    • 0027720942 scopus 로고
    • Approaches to passage retrieval in full text information systems
    • G. Salton, J. Allan, and C. Buckley. Approaches to passage retrieval in full text information systems. In Proceedings of SIGIR, 1993.
    • (1993) Proceedings of SIGIR
    • Salton, G.1    Allan, J.2    Buckley, C.3
  • 26
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Information processing & management, 24(5):513-523, 1988.
    • (1988) Information Processing & Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 27
    • 0016572913 scopus 로고
    • A vector space model for automatic indexing
    • G. Salton, A. Wong, and C. S. Yang. A vector space model for automatic indexing. Communications of the ACM, 18(11):613-620, 1975.
    • (1975) Communications of the ACM , vol.18 , Issue.11 , pp. 613-620
    • Salton, G.1    Wong, A.2    Yang, C.S.3
  • 29
    • 70350676931 scopus 로고    scopus 로고
    • Named entity mining from click-through data using weakly supervised latent dirichlet allocation
    • G. Xu, S. Yang, and H. Li. Named entity mining from click-through data using weakly supervised latent dirichlet allocation. In Proceedings of SIGKDD, 2009.
    • (2009) Proceedings of SIGKDD
    • Xu, G.1    Yang, S.2    Li, H.3
  • 31
    • 33745456231 scopus 로고    scopus 로고
    • Semi-supervised learning literature survey
    • University of Wisconsin-Madison
    • X. Zhu. Semi-Supervised Learning Literature Survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison, 2005.
    • (2005) Technical Report 1530, Computer Sciences
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.