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Volumn , Issue , 2015, Pages 158-163

Evaluating distributed word representations for capturing semantics of biomedical concepts

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; VECTORS;

EID: 85032716465     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (85)

References (19)
  • 2
    • 79959407847 scopus 로고    scopus 로고
    • Neural net language models
    • Yoshua Bengio. 2008. Neural net language models. Scholarpedia, 3(1):3881.
    • (2008) Scholarpedia , vol.3 , Issue.1 , pp. 3881
    • Bengio, Yoshua1
  • 4
    • 84926443676 scopus 로고    scopus 로고
    • cocor: A comprehensive solution for the statistical comparison of correlations
    • 04
    • Birk Diedenhofen and Jochen Musch. 2015. cocor: A comprehensive solution for the statistical comparison of correlations. PLoS ONE, 10(4):e0121945, 04.
    • (2015) PLoS ONE , vol.10 , Issue.4 , pp. e0121945
    • Diedenhofen, Birk1    Musch, Jochen2
  • 10
    • 84964012888 scopus 로고    scopus 로고
    • Applying deep learning techniques on medical corpora from the world wide web: a prototypical system and evaluation
    • abs/1502.03682
    • José Antonio Miñarro-Giménez, Oscar Marín-Alonso, and Matthias Samwald. 2015. Applying deep learning techniques on medical corpora from the world wide web: a prototypical system and evaluation. CoRR, abs/1502.03682.
    • (2015) CoRR
    • Miñarro-Giménez, José Antonio1    Marín-Alonso, Oscar2    Samwald, Matthias3
  • 18
    • 77952700189 scopus 로고    scopus 로고
    • From frequency to meaning: Vector space models of semantics
    • January
    • Peter D. Turney and Patrick Pantel. 2010. From frequency to meaning: Vector space models of semantics. J. Artif. Int. Res., 37(1):141-188, January.
    • (2010) J. Artif. Int. Res , vol.37 , Issue.1 , pp. 141-188
    • Turney, Peter D.1    Pantel, Patrick2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.