메뉴 건너뛰기




Volumn , Issue , 2008, Pages 61-64

Joint generative and discriminative models for spoken language understanding

Author keywords

Finite state transducers; Generative and discriminative models; Kernel methods; Spoken language understanding; Stochastic language models

Indexed keywords

FINITE STATE TRANSDUCERS; GENERATIVE AND DISCRIMINATIVE MODELS; KERNEL METHODS; SPOKEN LANGUAGE UNDERSTANDING; STOCHASTIC LANGUAGE MODELS;

EID: 67649512443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2008.4777840     Document Type: Conference Paper
Times cited : (3)

References (12)
  • 1
    • 43849110896 scopus 로고    scopus 로고
    • Generative and discriminative algorithms for spoken language understanding
    • C. Raymond, and G. Riccardi, "Generative and Discriminative Algorithms for Spoken Language Understanding", Interspeech, Antwerp, 2007.
    • (2007) Interspeech, Antwerp
    • Raymond, C.1    Riccardi, G.2
  • 2
    • 33646057547 scopus 로고    scopus 로고
    • New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron
    • M. Collins and N. Duffy, "New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron," in ACL'02, 2002.
    • (2002) ACL'02
    • Collins, M.1    Duffy, N.2
  • 3
    • 43849091935 scopus 로고    scopus 로고
    • Spoken language understanding with kernenls for syntactic/semantic structures
    • Kyoto
    • A. Moschitti, G. Riccardi, and C. Raymond, "Spoken Language Understanding with Kernenls for Syntactic/Semantic Structures", ASRU, Kyoto, 2007.
    • (2007) ASRU
    • Moschitti, A.1    Riccardi, G.2    Raymond, C.3
  • 6
    • 84891308106 scopus 로고    scopus 로고
    • SRILM: An extensible language modeling toolkit
    • Denver
    • A. Stolcke, "SRILM: an Extensible Language Modeling Toolkit", in Proc. Intl. Conf. SLP, Denver, 2002.
    • (2002) Proc. Intl. Conf. SLP
    • Stolcke, A.1
  • 7
    • 0003396042 scopus 로고    scopus 로고
    • An empirical study of smoothing techniques for language modeling
    • Harvard
    • S. F. Chen, and J. Goodman, "An Empirical Study of Smoothing Techniques for Language Modeling", Tech. Report Computer Science Group, Harvard, 1998.
    • (1998) Tech. Report Computer Science Group
    • Chen, S.F.1    Goodman, J.2
  • 8
    • 80053222535 scopus 로고    scopus 로고
    • Chunking with support vector machines
    • Pittsburg
    • T. Kudo, and Y. Matsumoto, "Chunking with Support Vector Machines", NAACL, Pittsburg, 2001.
    • (2001) NAACL
    • Kudo, T.1    Matsumoto, Y.2
  • 11
    • 84983647214 scopus 로고    scopus 로고
    • A comparison of various M methods for concept tagging for spoken language understanding
    • S. Hahn, P. Lehnen, C. Raymond, H. Ney, .,A Comparison of Various M Methods for Concept Tagging for Spoken Language Understanding", LREC, Marrakech, 2008.
    • (2008) LREC, Marrakech
    • Hahn, S.1    Lehnen, P.2    Raymond, C.3    Ney, H.4
  • 12
    • 34547975798 scopus 로고    scopus 로고
    • Efficient convolution kernels for dependency and constituent syntactic trees
    • Berlin, Germany
    • Alessandro Moschitti, Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees. In Proceedings of the 17th European Conference on Machine Learning, Berlin, Germany, 2006.
    • (2006) th European Conference on Machine Learning
    • Moschitti, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.