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Volumn , Issue , 2015, Pages 39-48

Relation extraction: Perspective from convolutional neural networks

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL DETECTION; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; EXTRACTION; NEURAL NETWORKS;

EID: 85112843528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (530)

References (49)
  • 7
    • 56449095373 scopus 로고    scopus 로고
    • A Unied Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning
    • 2008
    • Ronan Collobert and Jason Weston. 2008. A Unied Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning. In International Conference on Machine Learning, ICML, 2008.
    • (2008) International Conference on Machine Learning, ICML
    • Collobert, Ronan1    Weston, Jason2
  • 10
    • 84860513476 scopus 로고    scopus 로고
    • Frustratingly Easy Domain Adaptation
    • Prague, Czech Republic, June 2007
    • Hal Daumé III. 2007. Frustratingly Easy Domain Adaptation. In Proceedings of the ACL, pages 256-263, Prague, Czech Republic, June 2007.
    • (2007) Proceedings of the ACL , pp. 256-263
    • Daumé, Hal1
  • 17
    • 85140744814 scopus 로고    scopus 로고
    • Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction
    • Nanda Kambhatla. 2004. Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction. In Proceedings of ACL 2004.
    • (2004) Proceedings of ACL 2004
    • Kambhatla, Nanda1
  • 18
    • 84961376850 scopus 로고    scopus 로고
    • Convolutional Neural Networks for Sentence Classification
    • Yoon Kim. 2014. Convolutional Neural Networks for Sentence Classification. In Proceedings of EMNLP 2014.
    • (2014) Proceedings of EMNLP 2014
    • Kim, Yoon1
  • 19
    • 0032203257 scopus 로고
    • Gradient-based learning applied to document recognition
    • November, 1988
    • Yann LeCun, Léon Bottou, Yoshua Bengio and Patrick Haffner. 1988. Gradient-based learning applied to document recognition. In Proceedings of the IEEE, 86(11):22782324, November, 1988.
    • (1988) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 22782324
    • LeCun, Yann1    Bottou, Léon2    Bengio, Yoshua3    Haffner, Patrick4
  • 24
    • 34547970628 scopus 로고    scopus 로고
    • Three new Graphical Models for Statistical Language Modelling
    • Corvallis, OR, 2007
    • Andriy Mnih and Geoffrey Hinton. 2007. Three new Graphical Models for Statistical Language Modelling. In Proceedings of ICML’07, pages 641-648, Corvallis, OR, 2007.
    • (2007) Proceedings of ICML’07 , pp. 641-648
    • Mnih, Andriy1    Hinton, Geoffrey2
  • 25
    • 84858779990 scopus 로고    scopus 로고
    • A Scalable Hierarchical Distributed Language Model
    • Andriy Mnih and Geoffrey Hinton. 2009. A Scalable Hierarchical Distributed Language Model. In NIPS, page 1081-1088.
    • (2009) NIPS , pp. 1081-1088
    • Mnih, Andriy1    Hinton, Geoffrey2
  • 27
    • 84906930736 scopus 로고    scopus 로고
    • Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
    • Baltimore, Maryland, USA
    • Thien Huu Nguyen and Ralph Grishman. 2014. Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction. In Proceedings of ACL 2014, pages 68-74, Baltimore, Maryland, USA.
    • (2014) Proceedings of ACL 2014 , pp. 68-74
    • Nguyen, Thien Huu1    Grishman, Ralph2
  • 28
    • 80053401742 scopus 로고    scopus 로고
    • Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
    • Stroudsburg, PA, USA
    • Truc-Vien T. Nguyen, Alessandro Moschitti, and Giuseppe Riccardi. 2009. Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction. In Proceedings of EMNLP 09, pages 1378-1387, Stroudsburg, PA, USA.
    • (2009) Proceedings of EMNLP 09 , pp. 1378-1387
    • Nguyen, Truc-Vien T.1    Moschitti, Alessandro2    Riccardi, Giuseppe3
  • 29
    • 84907345507 scopus 로고    scopus 로고
    • Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction
    • Sofia, Bulgaria
    • Barbara Plank and Alessandro Moschitti. 2013. Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction. In Proceedings of the ACL 2013, pages 1498-1507, Sofia, Bulgaria.
    • (2013) Proceedings of the ACL 2013 , pp. 1498-1507
    • Plank, Barbara1    Moschitti, Alessandro2
  • 30
    • 75149168148 scopus 로고    scopus 로고
    • Exploiting Constituent Dependencies for Tree Kernel-based Semantic Relation Extraction
    • Manchester
    • Longhua Qian, Guodong Zhou, Qiaoming Zhu and Peide Qian. 2008. Exploiting Constituent Dependencies for Tree Kernel-based Semantic Relation Extraction. In Proceedings of COLING, pages 697-704, Manchester.
    • (2008) Proceedings of COLING , pp. 697-704
    • Qian, Longhua1    Zhou, Guodong2    Zhu, Qiaoming3    Qian, Peide4
  • 38
    • 84859074855 scopus 로고    scopus 로고
    • Semi-supervised Relation Extraction with Large-scale Word Clustering
    • Portland, Oregon, USA
    • Ang Sun, Ralph Grishman, and Satoshi Sekine. 2011. Semi-supervised Relation Extraction with Large-scale Word Clustering. In Proceedings of ACL-HLT, pages 521-529, Portland, Oregon, USA.
    • (2011) Proceedings of ACL-HLT , pp. 521-529
    • Sun, Ang1    Grishman, Ralph2    Sekine, Satoshi3
  • 39
    • 84906931876 scopus 로고    scopus 로고
    • A Feature-Enriched Tree Kernel for Relation Extraction
    • Baltimore, Maryland, USA
    • Le Sun and Xianpei Han 2014. A Feature-Enriched Tree Kernel for Relation Extraction. In Proceedings of ACL 2014, pages 61-67, Baltimore, Maryland, USA.
    • (2014) Proceedings of ACL 2014 , pp. 61-67
    • Sun, Le1    Han, Xianpei2
  • 47
    • 84860532294 scopus 로고    scopus 로고
    • A Composite Kernel to Extract Relations between Entities with both Flat and Structured Features
    • Sydney
    • Min Zhang, Jie Zhang, Jian Su, and GuoDong Zhou. 2006. A Composite Kernel to Extract Relations between Entities with both Flat and Structured Features. In Proceedings of COLING-ACL-06, pages 825-832, Sydney.
    • (2006) Proceedings of COLING-ACL-06 , pp. 825-832
    • Zhang, Min1    Zhang, Jie2    Su, Jian3    Zhou, GuoDong4
  • 48
    • 84859889184 scopus 로고    scopus 로고
    • Exploring various Knowledge in Relation Extraction
    • Ann Arbor, USA, 2005
    • Guodong Zhou, Jian Su, Jie Zhang, and Min Zhang. 2005. Exploring various Knowledge in Relation Extraction. In Proceedings of ACL’05, pages 427-434, Ann Arbor, USA, 2005.
    • (2005) Proceedings of ACL’05 , pp. 427-434
    • Zhou, Guodong1    Su, Jian2    Zhang, Jie3    Zhang, Min4
  • 49
    • 80053360686 scopus 로고    scopus 로고
    • Tree Kernel-based Relation Extraction with Context-sensitive Structured Parse Tree Information
    • Prague
    • Guodong Zhou, Min Zhang, DongHong Ji, and QiaoMing Zhu. 2007. Tree Kernel-based Relation Extraction with Context-sensitive Structured Parse Tree Information. In Proceedings of EMNLP-CoNLL-07, pages 728-736, Prague.
    • (2007) Proceedings of EMNLP-CoNLL-07 , pp. 728-736
    • Zhou, Guodong1    Zhang, Min2    Ji, DongHong3    Zhu, QiaoMing4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.