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Volumn , Issue , 2008, Pages 160-167

A unified architecture for natural language processing: Deep neural networks with multitask learning

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; EDUCATION; INFORMATION THEORY; LEARNING ALGORITHMS; LEARNING SYSTEMS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; ROBOT LEARNING; SUPERVISED LEARNING; VEGETATION;

EID: 56449095373     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5240)

References (22)
  • 1
    • 27844439373 scopus 로고    scopus 로고
    • A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
    • Ando, R., amp; Zhang, T. (2005). A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data. JMLR, 6, 1817-1853.
    • (2005) JMLR , vol.6 , pp. 1817-1853
    • Ando, R.1    Zhang, T.2
  • 2
    • 84899005563 scopus 로고    scopus 로고
    • A neural probabilistic language model
    • Bengio, Y., amp; Ducharme, R. (2001). A neural probabilistic language model. NIPS 13.
    • (2001) NIPS 13
    • Bengio, Y.1    Ducharme, R.2
  • 3
    • 0000583248 scopus 로고
    • Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
    • F. F. Soulié and J. Hérault Eds, Neurocomputing: Algorithms, architectures and applications
    • Bridle, J. (1990). Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition. In F. F. Soulié and J. Hérault (Eds.), Neurocomputing: Algorithms, architectures and applications, 227-236. NATO ASI Series.
    • (1990) NATO ASI Series , pp. 227-236
    • Bridle, J.1
  • 4
    • 0031189914 scopus 로고    scopus 로고
    • Multitask Learning
    • Caruana, R. (1997). Multitask Learning. Machine Learning, 28, 41-75.
    • (1997) Machine Learning , vol.28 , pp. 41-75
    • Caruana, R.1
  • 8
    • 1942483137 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • Joachims, T. (1999). Transductive inference for text classification using support vector machines. ICML.
    • (1999) ICML
    • Joachims, T.1
  • 14
    • 33645983416 scopus 로고    scopus 로고
    • The proposition bank: An annotated corpus of semantic roles
    • Palmer, M., Gildea, D., & Kingsbury, P. (2005). The proposition bank: An annotated corpus of semantic roles. Comput. Linguist., 31, 71-106.
    • (2005) Comput. Linguist , vol.31 , pp. 71-106
    • Palmer, M.1    Gildea, D.2    Kingsbury, P.3
  • 16
    • 80053498006 scopus 로고    scopus 로고
    • Using Corpus Statistics on Entities to Improve Semi-supervised Relation Extraction from the Web
    • Rosenfeld, B., & Feldman, R. (2007). Using Corpus Statistics on Entities to Improve Semi-supervised Relation Extraction from the Web. Proceedings of the 45th Annual Meeting of the ACL, 600-607.
    • (2007) Proceedings of the 45th Annual Meeting of the ACL , pp. 600-607
    • Rosenfeld, B.1    Feldman, R.2
  • 19
    • 80053389340 scopus 로고    scopus 로고
    • Joint parsing and semantic role labeling
    • Sutton, C., & McCallum, A. (2005b). Joint parsing and semantic role labeling. Proceedings of CoNLL-2005 (pp. 225-228).
    • (2005) Proceedings of CoNLL-2005 , pp. 225-228
    • Sutton, C.1    McCallum, A.2
  • 20
    • 33947615175 scopus 로고    scopus 로고
    • Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data
    • Sutton, C., McCallum, A., & Rohanimanesh, K. (2007). Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data. JMLR, 8, 693-723.
    • (2007) JMLR , vol.8 , pp. 693-723
    • Sutton, C.1    McCallum, A.2    Rohanimanesh, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.