메뉴 건너뛰기




Volumn , Issue , 2014, Pages 436-442

Semantic kernels for semantic parsing

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; NATURAL LANGUAGE PROCESSING SYSTEMS; STRUCTURES (BUILT OBJECTS); TREES (MATHEMATICS);

EID: 84961361408     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/d14-1050     Document Type: Conference Paper
Times cited : (7)

References (39)
  • 2
    • 33746909470 scopus 로고    scopus 로고
    • A semantic kernel to classify texts with very few training examples
    • Slovenia
    • Roberto Basili, Marco Cammisa, and Alessandro Moschitti. 2006. A semantic kernel to classify texts with very few training examples. Informatica (Slovenia), 30(2):163-172.
    • (2006) Informatica , vol.30 , Issue.2 , pp. 163-172
    • Basili, R.1    Cammisa, M.2    Moschitti, A.3
  • 14
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schlkopf, C. Burges, and A. Smola, editors, MIT Press, Cambridge, MA, USA
    • Thorsten Joachims. 1999. Making large-scale SVM learning practical. In B. Schlkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning. MIT Press, Cambridge, MA, USA.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 23
    • 84898052303 scopus 로고    scopus 로고
    • State-of-the-art kernels for natural language processing
    • Jeju Island, Korea
    • Alessandro Moschitti. 2012. State-of-the-art kernels for natural language processing. In Tutorial Abstracts of ACL 2012, page 2, Jeju Island, Korea.
    • (2012) Tutorial Abstracts of ACL 2012 , pp. 2
    • Moschitti, A.1
  • 24
    • 84883059791 scopus 로고    scopus 로고
    • Kernel-based learning to rank with syntactic and semantic structures
    • Dublin, Ireland
    • Alessandro Moschitti. 2013. Kernel-based learning to rank with syntactic and semantic structures. In Tutorial abstracts of the 36th Annual ACM SIGIR Conference, page 1128, Dublin, Ireland.
    • (2013) Tutorial Abstracts of the 36th Annual ACM SIGIR Conference , pp. 1128
    • Moschitti, A.1
  • 26
    • 34347357484 scopus 로고    scopus 로고
    • Dependency-based construction of semantic space models
    • Sebastian Padó and Mirella Lapata. 2007. Dependency-based construction of semantic space models. Computational Linguistics, 33(2):161-199.
    • (2007) Computational Linguistics , vol.33 , Issue.2 , pp. 161-199
    • Padó, S.1    Lapata, M.2
  • 27
    • 85081941118 scopus 로고    scopus 로고
    • Wordnet::similarity - measuring the relatedness of concepts
    • Boston, Massachusetts, USA
    • Ted Pedersen, Siddharth Patwardhan, and Jason Michelizzi. 2004. Wordnet::similarity - measuring the relatedness of concepts. In HLT-NAACL 2004: Demonstration Papers, pages 38-41, Boston, Massachusetts, USA.
    • (2004) HLT-NAACL 2004: Demonstration Papers , pp. 38-41
    • Pedersen, T.1    Patwardhan, S.2    Michelizzi, J.3
  • 33
    • 34047192804 scopus 로고    scopus 로고
    • Semimarkov conditional random fields for information extraction
    • NIPS 2004, Vancouver, British Columbia, Canada
    • Sunita Sarawagi and William W. Cohen. 2004. Semimarkov conditional random fields for information extraction. In Advances in Neural Information Processing Systems 17 (NIPS 2004), Vancouver, British Columbia, Canada.
    • (2004) Advances in Neural Information Processing Systems , vol.17
    • Sarawagi, S.1    Cohen, W.W.2
  • 35
    • 24344444519 scopus 로고    scopus 로고
    • Putting pieces together: Combining framenet, verbnet and wordnet for robust semantic parsing
    • Springer Berlin Heidelberg
    • Lei Shi and Rada Mihalcea. 2005. Putting pieces together: Combining framenet, verbnet and wordnet for robust semantic parsing. In Computational Linguistics and Intelligent Text Processing, pages 100- 111. Springer Berlin Heidelberg.
    • (2005) Computational Linguistics and Intelligent Text Processing , pp. 100-111
    • Shi, L.1    Mihalcea, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.