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Volumn , Issue , 2016, Pages 1504-1515

Charagram: Embedding words and sentences via character n-grams

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; EMBEDDINGS; MATHEMATICAL TRANSFORMATIONS; RECURRENT NEURAL NETWORKS;

EID: 85072845124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d16-1157     Document Type: Conference Paper
Times cited : (197)

References (62)
  • 28
    • 84953746791 scopus 로고    scopus 로고
    • SimlEX-999: Evaluating semantic models with (genuine) similarity estimation
    • Felix Hill, Roi Reichart, and Anna Korhonen. 2015. SimLex-999: Evaluating semantic models with (genuine) similarity estimation. Computational Linguistics, 41(4).
    • (2015) Computational Linguistics , vol.41 , Issue.4
    • Hill, F.1    Reichart, R.2    Korhonen, A.3
  • 34
    • 84994082192 scopus 로고    scopus 로고
    • Character-aware neural language models
    • abs/1508.06615
    • Yoon Kim, Yacine Jernite, David Sontag, and Alexander M. Rush. 2015. Character-aware neural language models. CoRR, abs/1508.06615.
    • (2015) CoRR
    • Kim, Y.1    Jernite, Y.2    Sontag, D.3    Rush, A.M.4
  • 43
    • 80053288309 scopus 로고    scopus 로고
    • Composition in distributional models of semantics
    • Jeff Mitchell and Mirella Lapata. 2010. Composition in distributional models of semantics. Cognitive Science, 34(8).
    • (2010) Cognitive Science , vol.34 , Issue.8
    • Mitchell, J.1    Lapata, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.