메뉴 건너뛰기




Volumn 1, Issue , 2014, Pages 1381-1391

Low-rank tensors for scoring dependency structures

Author keywords

[No Author keywords available]

Indexed keywords

SYNTACTICS; TENSORS;

EID: 84906931488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-1130     Document Type: Conference Paper
Times cited : (91)

References (47)
  • 1
    • 85016599197 scopus 로고    scopus 로고
    • MaltOptimizer: An optimization tool for maltparser
    • The Association for Computer Linguistics
    • Miguel Ballesteros and Joakim Nivre. 2012. MaltOptimizer: An optimization tool for MaltParser. In EACL. The Association for Computer Linguistics.
    • (2012) EACL
    • Ballesteros, M.1    Nivre, J.2
  • 8
    • 56449095373 scopus 로고    scopus 로고
    • A unified architecture for natural language processing: Deep neural networks with multitask learning
    • R. Collobert and J. Weston. 2008. A unified architecture for natural language processing: Deep neural networks with multitask learning. In International Conference on Machine Learning, ICML.
    • (2008) International Conference on Machine Learning, ICML
    • Collobert, R.1    Weston, J.2
  • 10
    • 84906922997 scopus 로고    scopus 로고
    • A tensor-based factorization model of semantic compositionality
    • The Association for Computational Linguistics
    • Tim Van de Cruys, Thierry Poibeau, and Anna Korhonen. 2013. A tensor-based factorization model of semantic compositionality. In HLT-NAACL. The Association for Computational Linguistics.
    • (2013) HLT-NAACL
    • Van De Cruys, T.1    Poibeau, T.2    Korhonen, A.3
  • 19
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Daniel D Lee and H Sebastian Seung. 1999. Learning the parts of objects by non-negative matrix factorization. Nature.
    • (1999) Nature
    • Lee, D.D.1    Sebastian Seung, H.2
  • 37
    • 1942516801 scopus 로고    scopus 로고
    • Weighted low-rank approximations
    • Nathan Srebro, Tommi Jaakkola, et al. 2003. Weighted low-rank approximations. In ICML.
    • (2003) ICML
    • Srebro, N.1    Jaakkola, T.2
  • 40
    • 79957510064 scopus 로고    scopus 로고
    • Recovering lowrank and sparse components of matrices from incomplete and noisy observations
    • Min Tao and Xiaoming Yuan. 2011. Recovering lowrank and sparse components of matrices from incomplete and noisy observations. SIAM Journal on Optimization.
    • (2011) SIAM Journal on Optimization
    • Tao, M.1    Yuan, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.