메뉴 건너뛰기




Volumn , Issue , 2010, Pages 151-160

Relational duality: Unsupervised extraction of semantic relations between entities on the web

Author keywords

relation extraction; relational duality; relational similarity; web mining

Indexed keywords

BENCHMARK DATASETS; CO-CLUSTERING; DETECTION TASKS; DUAL REPRESENTATION; INFORMATION EXTRACTION; LEXICAL PATTERNS; LOGISTIC REGRESSION MODELS; MICROSOFT; NATURAL LANGUAGE PROCESSING; PRECISION AND RECALL; REAL-WORLD; RELATION EXTRACTION; SEMANTIC RELATIONS; SIMILARITY MEASURE; SOCIAL NETWORKS; UNLABELED DATA; UNSUPERVISED EXTRACTION; WEB MINING; YOUTUBE;

EID: 77954650176     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1772690.1772707     Document Type: Conference Paper
Times cited : (77)

References (38)
  • 1
    • 0033652943 scopus 로고    scopus 로고
    • Snowball: Extracting relations from large plain-text collections
    • E. Agichtein and L. Gravano. Snowball: Extracting relations from large plain-text collections. In ICDL'00, 2000.
    • ICDL'00, 2000
    • Agichtein, E.1    Gravano, L.2
  • 2
    • 57349141917 scopus 로고    scopus 로고
    • Approximation algorithms for co-clustering
    • A. Anagnostopoulos, A. Dasgupta, and R. Kumar. Approximation algorithms for co-clustering. In PODS '08, pages 201-210, 2008.
    • (2008) PODS '08 , pp. 201-210
    • Anagnostopoulos, A.1    Dasgupta, A.2    Kumar, R.3
  • 3
    • 34548691246 scopus 로고    scopus 로고
    • A generalized maximum entropy approach to bregman co-clustering and matrix approximation
    • A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu, and D. S. Modha. A generalized maximum entropy approach to bregman co-clustering and matrix approximation. JAIR, pages 1919-?1986, 2007.
    • (2007) JAIR , pp. 1919-1986
    • Banerjee, A.1    Dhillon, I.2    Ghosh, J.3    Merugu, S.4    Modha, D.S.5
  • 5
    • 70449650184 scopus 로고    scopus 로고
    • The tradeoffs between traditional and open relation extraction
    • M. Banko and O. Etzioni. The tradeoffs between traditional and open relation extraction. In ACL'08, pages 28-36, 2008.
    • (2008) ACL'08 , pp. 28-36
    • Banko, M.1    Etzioni, O.2
  • 6
    • 84962944685 scopus 로고    scopus 로고
    • Finding parts in very large corpora
    • M. Berland and E. Charniak. Finding parts in very large corpora. In ACL'99, pages 57-64, 1999.
    • (1999) ACL'99 , pp. 57-64
    • Berland, M.1    Charniak, E.2
  • 7
    • 77954628725 scopus 로고    scopus 로고
    • Large scale acquisition of paraphrases for learning surface patterns
    • R. Bhagat and D. Ravichandran. Large scale acquisition of paraphrases for learning surface patterns. In ACL'08, pages 674-682, 2008.
    • (2008) ACL'08 , pp. 674-682
    • Bhagat, R.1    Ravichandran, D.2
  • 8
    • 77954630948 scopus 로고    scopus 로고
    • Measuring the similarity between implicit semantic relations from the web
    • D. Bollegala, Y. Matsuo, and M. Ishizuka. Measuring the similarity between implicit semantic relations from the web. In WWW'09, pages 651-660, 2009.
    • (2009) WWW'09 , pp. 651-660
    • Bollegala, D.1    Matsuo, Y.2    Ishizuka, M.3
  • 9
    • 0003146263 scopus 로고    scopus 로고
    • Extracting patterns and relations from the world wide web
    • S. Brin. Extracting patterns and relations from the world wide web. In WebDB Workshop at EDBT'98, pages 172-183, 1998.
    • (1998) WebDB Workshop at EDBT'98 , pp. 172-183
    • Brin, S.1
  • 10
    • 84864058992 scopus 로고    scopus 로고
    • Subsequence kernels for relation extraction
    • R. Bunescu and R. Mooney. Subsequence kernels for relation extraction. In NIPS'06, pages 171-178, 2006.
    • (2006) NIPS'06 , pp. 171-178
    • Bunescu, R.1    Mooney, R.2
  • 13
    • 84858373635 scopus 로고    scopus 로고
    • Integrating probabilistic extraction models and data mining to discover relations and patterns in text
    • A. Culotta, A. McCallum, and J. Betz. Integrating probabilistic extraction models and data mining to discover relations and patterns in text. In HLT/NAACL'06, pages 296-303, 2006.
    • (2006) HLT/NAACL'06 , pp. 296-303
    • Culotta, A.1    McCallum, A.2    Betz, J.3
  • 14
    • 77952375075 scopus 로고    scopus 로고
    • Information-theoretic co-clustering
    • I. Dhillon, S. Mallela, and D. Modha. Information-theoretic co-clustering. In KDD'01, pages 89-98, 2003.
    • (2003) KDD'01 , pp. 89-98
    • Dhillon, I.1    Mallela, S.2    Modha, D.3
  • 16
    • 77953797578 scopus 로고    scopus 로고
    • Exploiting shallow linguistic information for relation extraction from biomedical literature
    • C. Giuliano, A. Lavelli, and L. Romano. Exploiting shallow linguistic information for relation extraction from biomedical literature. In EACL'06, pages 401-408, 2006.
    • (2006) EACL'06 , pp. 401-408
    • Giuliano, C.1    Lavelli, A.2    Romano, L.3
  • 17
    • 70350697580 scopus 로고    scopus 로고
    • Co-clustering on manifolds
    • Q. Gu and J. Zhou. Co-clustering on manifolds. In Proc. of KDD'09, pages 359-367, 2009.
    • (2009) Proc. of KDD'09 , pp. 359-367
    • Gu, Q.1    Zhou, J.2
  • 18
    • 84880748501 scopus 로고    scopus 로고
    • Shallow semantics for relation extraction
    • A. Harabagiu, C. A. Bejan, and P. Mor?arescu. Shallow semantics for relation extraction. In IJCAI'05, pages 1061-1066, 2005.
    • (2005) IJCAI'05 , pp. 1061-1066
    • Harabagiu, A.1    Bejan, C.A.2    Morarescu, P.3
  • 19
    • 0000679216 scopus 로고
    • Distributional structure
    • Z. Harris. Distributional structure. Word, 10:146-162, 1954.
    • (1954) Word , vol.10 , pp. 146-162
    • Harris, Z.1
  • 20
    • 0012990385 scopus 로고
    • Automatic acquisition of hyponyms from large text corpora
    • M. Hearst. Automatic acquisition of hyponyms from large text corpora. In COLING'92, pages 539-545, 1992.
    • (1992) COLING'92 , pp. 539-545
    • Hearst, M.1
  • 21
    • 0035789274 scopus 로고    scopus 로고
    • Dirt: Discovery of inference rules from text
    • D. Lin and P. Pantel. Dirt: Discovery of inference rules from text. In SIGKDD'01, pages 323-328, 2001.
    • (2001) SIGKDD'01 , pp. 323-328
    • Lin, D.1    Pantel, P.2
  • 24
    • 9744243208 scopus 로고    scopus 로고
    • Feature selection, 11 vs. 12 regularization, and rotational invariance
    • A. Y. Ng. Feature selection, 11 vs. 12 regularization, and rotational invariance. In ICML'04, pages 78-85, 2004.
    • (2004) ICML'04 , pp. 78-85
    • Ng, A.Y.1
  • 25
    • 33750687858 scopus 로고    scopus 로고
    • Organizing and searching the world wide web of facts - Step one: The one-million fact extraction challenge
    • M. Pasca, D. Lin, J. Bigham, A. Lifchits, and A. Jain. Organizing and searching the world wide web of facts - step one: the one-million fact extraction challenge. In AAAI'06, pages 1400-1405, 2006.
    • (2006) AAAI'06 , pp. 1400-1405
    • Pasca, M.1    Lin, D.2    Bigham, J.3    Lifchits, A.4    Jain, A.5
  • 27
    • 84978127045 scopus 로고    scopus 로고
    • Learning surface text patterns for a question answering system
    • D. Ravichandran and E. Hovy. Learning surface text patterns for a question answering system. In ACL '02, pages 41-47, 2001.
    • (2001) ACL '02 , pp. 41-47
    • Ravichandran, D.1    Hovy, E.2
  • 28
    • 85093033694 scopus 로고    scopus 로고
    • A linear programming formulation for global inference in natural language tasks
    • D. Roth and W. Yih. A linear programming formulation for global inference in natural language tasks. In CoNLL'04, pages 1-8, 2004.
    • (2004) CoNLL'04 , pp. 1-8
    • Roth, D.1    Yih, W.2
  • 30
    • 3142777876 scopus 로고    scopus 로고
    • Efficient set joins on similarity predicates
    • S. Sarawagi and A. Kirpal. Efficient set joins on similarity predicates. In SIGMOD '04, pages 743-754, 2004.
    • (2004) SIGMOD '04 , pp. 743-754
    • Sarawagi, S.1    Kirpal, A.2
  • 31
    • 84858385171 scopus 로고    scopus 로고
    • Preemptive information extraction using unrestricted relation discovery
    • Y. Shinyama and S. Sekine. Preemptive information extraction using unrestricted relation discovery. In HLT-NAACL'06, pages 304-311, 2006.
    • (2006) HLT-NAACL'06 , pp. 304-311
    • Shinyama, Y.1    Sekine, S.2
  • 32
    • 84899013308 scopus 로고    scopus 로고
    • Learning syntactic patterns for automatic hypernym discovery
    • R. Snow, D. Jurafsky, and A. Ng. Learning syntactic patterns for automatic hypernym discovery. In NIPS'05, pages 1297-1304, 2005.
    • (2005) NIPS'05 , pp. 1297-1304
    • Snow, R.1    Jurafsky, D.2    Ng, A.3
  • 33
    • 84880762169 scopus 로고    scopus 로고
    • Measuring semantic similarity by latent relational analysis
    • P. Turney. Measuring semantic similarity by latent relational analysis. In IJCAI'05, pages 1136-1141, 2005.
    • (2005) IJCAI'05 , pp. 1136-1141
    • Turney, P.1
  • 34
    • 84860541369 scopus 로고    scopus 로고
    • Expressing implicit semantic relations without supervision
    • P. Turney. Expressing implicit semantic relations without supervision. In COLING-ACL'06, pages 313-320, 2006.
    • (2006) COLING-ACL'06 , pp. 313-320
    • Turney, P.1
  • 35
    • 84926611523 scopus 로고    scopus 로고
    • Wordnet sits the sat: A knowledge-based approach to lexical analogy
    • T. Veale. Wordnet sits the sat: A knowledge-based approach to lexical analogy. In ECAI'04, pages 606-612, 2004.
    • (2004) ECAI'04 , pp. 606-612
    • Veale, T.1
  • 36
    • 0142259871 scopus 로고    scopus 로고
    • Kernel methods for relation extraction
    • D. Zelenko, C. Aone, and A. Richardella. Kernel methods for relation extraction. JMLR, 3:1083-1106, 2003.
    • (2003) JMLR , vol.3 , pp. 1083-1106
    • Zelenko, D.1    Aone, C.2    Richardella, A.3
  • 37
    • 80053360686 scopus 로고    scopus 로고
    • Tree kernel-based relation extraction with context-sensitive structured parse tree information
    • G. Zhou, M. Zhang, D. H. Ji, and Q. Zhu. Tree kernel-based relation extraction with context-sensitive structured parse tree information. In EMNLP-CoNLL, pages 728-736, 2005.
    • (2005) EMNLP-CoNLL , pp. 728-736
    • Zhou, G.1    Zhang, M.2    Ji, D.H.3    Zhu, Q.4
  • 38
    • 84865644621 scopus 로고    scopus 로고
    • Statsnowball: A statistical approach to extracting entity relationships
    • ACM
    • J. Zhu, Z. Nie, X. Liu, B. Zhang, and J. R. Wen. Statsnowball: a statistical approach to extracting entity relationships. In WWW'09, pages 101-110. ACM, 2009.
    • (2009) WWW'09 , pp. 101-110
    • Zhu, J.1    Nie, Z.2    Liu, X.3    Zhang, B.4    Wen, J.R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.