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Volumn 1, Issue , 2014, Pages 945-955

Two is bigger (and better) than one: The wikipedia bitaxonomy project

Author keywords

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Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84906928671     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-1089     Document Type: Conference Paper
Times cited : (84)

References (36)
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    • Prague, Czechoslovakia
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    • Calzolari, N.1
  • 14
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    • YAGO2: A spatially and temporally enhanced knowledge base from wikipedia
    • Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, and Gerhard Weikum. 2013. YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial Intelligence, 194:28-61.
    • (2013) Artificial Intelligence , vol.194 , pp. 28-61
    • Hoffart, J.1    Suchanek, F.M.2    Berberich, K.3    Weikum, G.4
  • 15
    • 84870297580 scopus 로고    scopus 로고
    • Collaboratively built semistructured content and artificial intelligence: The story so far
    • Eduard H. Hovy, Roberto Navigli, and Simone Paolo Ponzetto. 2013. Collaboratively built semistructured content and Artificial Intelligence: The story so far. Artificial Intelligence, 194:2-27.
    • (2013) Artificial Intelligence , vol.194 , pp. 2-27
    • Hovy, E.H.1    Navigli, R.2    Paolo Ponzetto, S.3
  • 16
  • 17
    • 84898970714 scopus 로고    scopus 로고
    • Fast exact inference with a factored model for natural language parsing
    • (NIPS), Vancouver, British Columbia, Canada
    • Dan Klein and Christopher D. Manning. 2003. Fast Exact Inference with a Factored Model for Natural Language Parsing. In Advances in Neural Information Processing Systems 15 (NIPS), pages 3-10, Vancouver, British Columbia, Canada.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 3-10
    • Klein, D.1    Manning, C.D.2
  • 21
    • 42149110595 scopus 로고    scopus 로고
    • Reading the web: A breakthrough goal for ai
    • Tom Mitchell. 2005. Reading the Web: A Breakthrough Goal for AI. AI Magazine.
    • (2005) AI Magazine
    • Mitchell, T.1
  • 22
    • 84870290509 scopus 로고    scopus 로고
    • Transforming wikipedia into a large scale multilingual concept network
    • Vivi Nastase and Michael Strube. 2013. Transforming Wikipedia into a large scale multilingual concept network. Artificial Intelligence, 194:62-85.
    • (2013) Artificial Intelligence , vol.194 , pp. 62-85
    • Nastase, V.1    Strube, M.2
  • 24
    • 84867003885 scopus 로고    scopus 로고
    • BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network
    • Roberto Navigli and Simone Paolo Ponzetto. 2012. BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial Intelligence, 193:217-250.
    • (2012) Artificial Intelligence , vol.193 , pp. 217-250
    • Navigli, R.1    Paolo Ponzetto, S.2
  • 28
    • 79955566948 scopus 로고    scopus 로고
    • Taxonomy induction based on a collaboratively built knowledge repository
    • Simone Paolo Ponzetto and Michael Strube. 2011. Taxonomy induction based on a collaboratively built knowledge repository. Artificial Intelligence, 175(9-10):1737-1756.
    • (2011) Artificial Intelligence , vol.175 , Issue.9-10 , pp. 1737-1756
    • Paolo Ponzetto, S.1    Strube, M.2
  • 31
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    • Introducing the knowledge graph: Things, not strings. Technical report, official blog (of google)
    • Amit Singhal. 2012. Introducing the Knowledge Graph: Things, Not Strings. Technical report, Official Blog (of Google). Retrieved May 18, 2012.
    • (2012) Retrieved May , vol.18 , pp. 2012
    • Singhal, A.1
  • 34
    • 51449096194 scopus 로고    scopus 로고
    • YAGO: A large ontology from wikipedia andwordnet
    • Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2008. YAGO: A large ontology from Wikipedia andWordNet. Journal of Web Semantics, 6(3):203-217.
    • (2008) Journal of Web Semantics , vol.6 , Issue.3 , pp. 203-217
    • Suchanek, F.M.1    Kasneci, G.2    Weikum, G.3
  • 36
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    • OntoLearn reloaded: A graph-based algorithm for taxonomy induction
    • Paola Velardi, Stefano Faralli, and Roberto Navigli. 2013. OntoLearn Reloaded: A graph-based algorithm for taxonomy induction. Computational Linguistics, 39(3):665-707.
    • (2013) Computational Linguistics , vol.39 , Issue.3 , pp. 665-707
    • Velardi, P.1    Faralli, S.2    Navigli, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.