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Volumn 1, Issue , 2015, Pages 1681-1691

Deep unordered composition rivals syntactic methods for text classification

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DEEP NEURAL NETWORKS; INFORMATION RETRIEVAL; SENTIMENT ANALYSIS; SYNTACTICS;

EID: 84943803518     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-1162     Document Type: Conference Paper
Times cited : (916)

References (42)
  • 1
    • 84963716749 scopus 로고    scopus 로고
    • Simcompass: Using deep learning word embeddings to assess cross-level similarity
    • Carmen Banea, Di Chen, Rada Mihalcea, Claire Cardie, and Janyce Wiebe. 2014. Simcompass: Using deep learning word embeddings to assess cross-level similarity. In SemEval.
    • (2014) SemEval
    • Banea, C.1    Chen, D.2    Mihalcea, R.3    Cardie, C.4    Wiebe, J.5
  • 11
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research.
    • (2011) Journal of Machine Learning Research
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 15
  • 30
    • 84859895244 scopus 로고    scopus 로고
    • Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
    • Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of the Association for Computational Linguistics.
    • (2005) Proceedings of the Association for Computational Linguistics
    • Pang, B.1    Lee, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.