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Volumn , Issue , 2010, Pages 223-233

On reverse feature engineering of syntactic tree kernels

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM PERFORMANCE; CLASSIFICATION TASKS; COMPARATIVE EXPERIMENTS; QUESTION CLASSIFICATION; RELATION EXTRACTION; SELECTION ALGORITHM; SEMANTIC ROLE LABELING; SYNTACTIC TREES; THEORETICAL FRAMEWORK; TREE KERNELS;

EID: 79959237063     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (44)
  • 1
    • 84862275270 scopus 로고    scopus 로고
    • Advances in Kernel Methods -Support Vector Learning, chapter Generalization Performance of Support Vector Machines and other Pattern Classifiers
    • P. Bartlett and J. Shawe-Taylor, 1998. Advances in Kernel Methods -Support Vector Learning, chapter Generalization Performance of Support Vector Machines and other Pattern Classifiers. MIT Press.
    • (1998) MIT Press
    • Bartlett, P.1    Shawe-Taylor, J.2
  • 3
    • 33748253466 scopus 로고    scopus 로고
    • Semantic kernels for text classification based on topological measures of feature similarity
    • Hong Kong, 2006
    • Stephan Bloehdorn, Roberto Basili, Marco Cammisa, and Alessandro Moschitti. 2006. Semantic kernels for text classification based on topological measures of feature similarity. In Proceedings of ICDM 06, Hong Kong, 2006.
    • (2006) Proceedings of ICDM 06
    • Bloehdorn, S.1    Basili, R.2    Cammisa, M.3    Moschitti, A.4
  • 5
    • 84862288194 scopus 로고    scopus 로고
    • Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling
    • Xavier Carreras and Llúis Márquez. 2005. Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling. In Proceedings of CoNLL'05.
    • (2005) Proceedings of CoNLL'05
    • Carreras, X.1    Márquez, L.2
  • 6
    • 33646057547 scopus 로고    scopus 로고
    • New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron
    • Michael Collins and Nigel Duffy. 2002. New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron. In Proceedings of ACL'02.
    • (2002) Proceedings of ACL'02
    • Collins, M.1    Duffy, N.2
  • 7
    • 85144480129 scopus 로고    scopus 로고
    • Dependency Tree Kernels for Relation Extraction
    • Aron Culotta and Jeffrey Sorensen. 2004. Dependency Tree Kernels for Relation Extraction. In Proceedings of ACL'04.
    • (2004) Proceedings of ACL'04
    • Culotta, A.1    Sorensen, J.2
  • 9
    • 84862292087 scopus 로고    scopus 로고
    • Np bracketing by maximum entropy tagging and SVM reranking
    • Hal Daume ́ III and Daniel Marcu. 2004. Np bracketing by maximum entropy tagging and SVM reranking. In Proceedings of EMNLP'04.
    • (2004) Proceedings of EMNLP'04
    • Hal, D.1    Marcu, D.2
  • 12
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Isabelle Guyon and Andre ́ Elisseeff. 2003. An introduction to variable and feature selection. Journal of Machine Learning Research, 3:1157-1182.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 13
    • 0004019973 scopus 로고    scopus 로고
    • Convolution kernels on discrete structures
    • Dept. of Computer Science, University of California at Santa Cruz
    • David Haussler. 1999. Convolution kernels on discrete structures. Technical report, Dept. of Computer Science, University of California at Santa Cruz.
    • (1999) Technical Report
    • Haussler, D.1
  • 14
    • 0003307180 scopus 로고    scopus 로고
    • Estimating the generalization performance of a SVM efficiently
    • T. Joachims. 2000. Estimating the generalization performance of a SVM efficiently. In Proceedings of ICML'00.
    • (2000) Proceedings of ICML'00
    • Joachims, T.1
  • 16
    • 84860540911 scopus 로고    scopus 로고
    • Using string-kernels for learning semantic parsers
    • Sydney, Australia, July. Association for Computational Linguistics
    • Rohit J. Kate and Raymond J. Mooney. 2006. Using string-kernels for learning semantic parsers. In Proceedings of the 21st ICCL and 44th Annual Meeting of the ACL, pages 913-920, Sydney, Australia, July. Association for Computational Linguistics.
    • (2006) Proceedings of the 21st ICCL and 44th Annual Meeting of the ACL , pp. 913-920
    • Kate, R.J.1    Mooney, R.J.2
  • 17
    • 80053275652 scopus 로고    scopus 로고
    • Speeding up training with tree kernels for node relation labeling
    • Juńichi Kazama and Kentaro Torisawa. 2005. Speeding up training with tree kernels for node relation labeling. In Proceedings of HLT-EMNLP'05.
    • (2005) Proceedings of HLT-EMNLP'05
    • Kazama, K.1    Torisawa, K.2
  • 18
    • 85146417759 scopus 로고    scopus 로고
    • Accurate unlexicalized parsing
    • Dan Klein and Christopher D. Manning. 2003. Accurate unlexicalized parsing. In Proceedings of ACL'03, pages 423-430.
    • (2003) Proceedings of ACL'03 , pp. 423-430
    • Klein, D.1    Manning, C.D.2
  • 19
  • 20
    • 84859905769 scopus 로고    scopus 로고
    • Boosting-based parse reranking with subtree features
    • Taku Kudo, Jun Suzuki, and Hideki Isozaki. 2005. Boosting-based parse reranking with subtree features. In Proceedings of ACL'05.
    • (2005) Proceedings of ACL'05
    • Kudo, T.1    Suzuki, J.2    Isozaki, H.3
  • 21
    • 33746393719 scopus 로고    scopus 로고
    • Learning question classifiers: The role of semantic information
    • Xin Li and Dan Roth. 2006. Learning question classifiers: the role of semantic information. Natural Language Engineering, 12(3):229-249.
    • (2006) Natural Language Engineering , vol.12 , Issue.3 , pp. 229-249
    • Li, X.1    Roth, D.2
  • 25
    • 45749138033 scopus 로고    scopus 로고
    • Tree kernels for semantic role labeling
    • Alessandro Moschitti, Daniele Pighin, and Roberto Basili. 2008. Tree kernels for semantic role labeling. Computational Linguistics, 34(2):193-224.
    • (2008) Computational Linguistics , vol.34 , Issue.2 , pp. 193-224
    • Moschitti, A.1    Pighin, D.2    Basili, R.3
  • 26
    • 33750333944 scopus 로고    scopus 로고
    • Efficient convolution kernels for dependency and constituent syntactic trees
    • Alessandro Moschitti. 2006. Efficient convolution kernels for dependency and constituent syntactic trees. In Proceedings of ECML'06, pages 318-329.
    • (2006) Proceedings of ECML'06 , pp. 318-329
    • Moschitti, A.1
  • 27
    • 70349257998 scopus 로고    scopus 로고
    • Kernel methods, syntax and semantics for relational text categorization
    • NY, USA
    • Alessandro Moschitti. 2008. Kernel methods, syntax and semantics for relational text categorization. In Proceeding of CIKM'08, NY, USA.
    • (2008) Proceeding of CIKM'08
    • Moschitti, A.1
  • 28
    • 30044438683 scopus 로고    scopus 로고
    • Combined SVM-Based Feature Selection and Classification
    • Julia Neumann, Christoph Schnorr, and Gabriele Steidl. 2005. Combined SVM-Based Feature Selection and Classification. Machine Learning, 61(1-3):129-150.
    • (2005) Machine Learning , vol.61 , Issue.1-3 , pp. 129-150
    • Neumann, J.1    Schnorr, C.2    Steidl, G.3
  • 29
    • 80053401742 scopus 로고    scopus 로고
    • Convolution kernels on constituent, dependency and sequential structures for relation extraction
    • Truc-Vien T. Nguyen, Alessandro Moschitti, and Giuseppe Riccardi. 2009a. Convolution kernels on constituent, dependency and sequential structures for relation extraction. In Proceedings of EMNLP.
    • (2009) Proceedings of EMNLP
    • Nguyen, T.-V.T.1    Moschitti, A.2    Riccardi, G.3
  • 30
    • 80053401742 scopus 로고    scopus 로고
    • Convolution kernels on constituent, dependency and sequential structures for relation extraction
    • Morristown, NJ, USA. Association for Computational Linguistics
    • Truc-Vien T. Nguyen, Alessandro Moschitti, and Giuseppe Riccardi. 2009. Convolution kernels on constituent, dependency and sequential structures for relation extraction. In EMNLP'09: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pages 1378-1387, Morristown, NJ, USA. Association for Computational Linguistics.
    • (2009) EMNLP'09: Proceedings of the 2009 Conference On Empirical Methods In Natural Language Processing , pp. 1378-1387
    • Nguyen, T.-V.T.1    Moschitti, A.2    Riccardi, G.3
  • 31
    • 33645983416 scopus 로고    scopus 로고
    • The proposition bank: An annotated corpus of semantic roles
    • Martha Palmer, Daniel Gildea, and Paul Kingsbury. 2005. The proposition bank: An annotated corpus of semantic roles. Comput. Linguist., 31(1):71-106.
    • (2005) Comput. Linguist , vol.31 , Issue.1 , pp. 71-106
    • Palmer, M.1    Gildea, D.2    Kingsbury, P.3
  • 33
    • 77958030821 scopus 로고    scopus 로고
    • Efficient linearization of tree kernel functions
    • Daniele Pighin and Alessandro Moschitti. 2009a. Efficient linearization of tree kernel functions. In Proceedings of CoNLL'09.
    • (2009) Proceedings of CoNLL'09
    • Pighin, D.1    Moschitti, A.2
  • 34
    • 79959209319 scopus 로고    scopus 로고
    • Reverse engineering of tree kernel feature spaces
    • Singapore, August. Association for Computational Linguistics
    • Daniele Pighin and Alessandro Moschitti. 2009b. Reverse engineering of tree kernel feature spaces. In Proceedings of EMNLP, pages 111-120, Singapore, August. Association for Computational Linguistics.
    • (2009) Proceedings of EMNLP , pp. 111-120
    • Pighin, D.1    Moschitti, A.2
  • 36
    • 80052136505 scopus 로고    scopus 로고
    • Learning to rank answers on large online QA collections
    • Columbus, Ohio
    • Mihai Surdeanu, Massimiliano Ciaramita, and Hugo Zaragoza. 2008. Learning to rank answers on large online QA collections. In Proceedings of ACL-08: HLT, Columbus, Ohio.
    • (2008) Proceedings of ACL-08: HLT
    • Surdeanu, M.1    Ciaramita, M.2    Hugo, Z.3
  • 37
    • 70049098154 scopus 로고    scopus 로고
    • Sequence and Tree Kernels with Statistical Feature Mining
    • Jun Suzuki and Hideki Isozaki. 2005. Sequence and Tree Kernels with Statistical Feature Mining. In Proceedings of NIPS'05.
    • (2005) Proceedings of NIPS'05
    • Suzuki, J.1    Isozaki, H.2
  • 38
    • 84862300388 scopus 로고    scopus 로고
    • Porting statistical parsers with data-defined kernels
    • Ivan Titov and James Henderson. 2006. Porting statistical parsers with data-defined kernels. In Proceedings of CoNLL-X.
    • (2006) Proceedings of CoNLL-X
    • Titov, I.1    Henderson, J.2
  • 39
    • 37249070952 scopus 로고    scopus 로고
    • The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection
    • Kristina Toutanova, Penka Markova, and Christopher Manning. 2004. The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection. In Proceedings of EMNLP 2004.
    • (2004) Proceedings of EMNLP 2004
    • Toutanova, K.1    Markova, P.2    Manning, C.3
  • 42
    • 0003141935 scopus 로고    scopus 로고
    • A comparative study on feature selection in text categorization
    • In Douglas H. Fisher, editor, Nashville, US, Morgan Kaufmann Publishers, San Francisco, US
    • Yiming Yang and Jan O. Pedersen. 1997. A comparative study on feature selection in text categorization. In Douglas H. Fisher, editor, Proceedings of ICML-97, 14th International Conference on Machine Learning, pages 412-420, Nashville, US. Morgan Kaufmann Publishers, San Francisco, US.
    • (1997) Proceedings of ICML-97, 14th International Conference On Machine Learning , pp. 412-420
    • Yang, Y.1    Pedersen, J.O.2
  • 43
    • 1542377488 scopus 로고    scopus 로고
    • Question classification using support vector machines
    • Dell Zhang and Wee Sun Lee. 2003. Question classification using support vector machines. In Proceedings of SI-GIR'03, pages 26-32.
    • (2003) Proceedings of SI-GIR'03 , pp. 26-32
    • Zhang, D.1    Lee, W.S.2
  • 44
    • 84863368822 scopus 로고    scopus 로고
    • Exploring Syntactic Features for Relation Extraction using a Convolution tree kernel
    • Min Zhang, Jie Zhang, and Jian Su. 2006. Exploring Syntactic Features for Relation Extraction using a Convolution tree kernel. In Proceedings of NAACL.
    • (2006) Proceedings of NAACL
    • Zhang, M.1    Zhang, J.2    Jian, S.3


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