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Volumn 1, Issue , 2015, Pages 1292-1300

Entity hierarchy embedding

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; EMBEDDINGS; SEMANTICS;

EID: 84943800424     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-1125     Document Type: Conference Paper
Times cited : (77)

References (29)
  • 1
    • 84555190544 scopus 로고    scopus 로고
    • Query modeling for entity search based on terms categories, and examples
    • Krisztian Balog, Marc Bron, and Maarten De Rijke. 2011. Query modeling for entity search based on terms, categories, and examples. TOIS, 29(4):22.
    • (2011) TOIS , vol.29 , Issue.4 , pp. 22
    • Balog, K.1    Bron, M.2    De Rijke, M.3
  • 2
    • 84906930943 scopus 로고    scopus 로고
    • Dont count, predict! a systematic comparison of context-counting vs context-predicting semantic vectors
    • Marco Baroni, Georgiana Dinu, and Germán Kruszewski. 2014. Dont count, predict! a systematic comparison of context-counting vs. context-predicting semantic vectors. In Proc. of ACL, volume 1, pages 238-247.
    • (2014) Proc. of ACL , vol.1 , pp. 238-247
    • Baroni, M.1    Dinu, G.2    Kruszewski, G.3
  • 4
    • 84926006932 scopus 로고    scopus 로고
    • A unified model for word sense representation and disambiguation
    • Xinxiong Chen, Zhiyuan Liu, and Maosong Sun. 2014a. A unified model for word sense representation and disambiguation. In Proc. of EMNLP, pages 1025-1035.
    • (2014) Proc. of EMNLP , pp. 1025-1035
    • Chen, X.1    Liu, Z.2    Sun, M.3
  • 5
    • 84943801040 scopus 로고    scopus 로고
    • Improving context and category matching for entity search
    • Yueguo Chen, Lexi Gao, Shuming Shi, Xiaoyong Du, and Ji-Rong Wen. 2014b. Improving context and category matching for entity search. In Proc. of AAAI.
    • (2014) Proc. of AAAI
    • Chen, Y.1    Gao, L.2    Shi, S.3    Du, X.4    Wen, J.5
  • 8
    • 84883378821 scopus 로고    scopus 로고
    • An entity-Topic model for entity linking
    • Association for Computational Linguistics
    • Xianpei Han and Le Sun. 2012. An entity-Topic model for entity linking. In Proc. of EMNLP, pages 105-115. Association for Computational Linguistics.
    • (2012) Proc. of EMNLP , pp. 105-115
    • Han, X.1    Sun, L.2
  • 9
    • 84926042674 scopus 로고    scopus 로고
    • Learning abstract concept embeddings from multi-modal data: Since you probably cant see what i mean
    • Felix Hill and Anna Korhonen. 2014. Learning abstract concept embeddings from multi-modal data: Since you probably cant see what i mean. In Proc. of EMNLP, pages 255-265.
    • (2014) Proc. of EMNLP , pp. 255-265
    • Hill, F.1    Korhonen, A.2
  • 10
    • 84870300056 scopus 로고    scopus 로고
    • Exploiting the category structure of wikipedia for entity ranking
    • Rianne Kaptein and Jaap Kamps. 2013. Exploiting the category structure of wikipedia for entity ranking. Artificial Intelligence, 194:111-129.
    • (2013) Artificial Intelligence , vol.194 , pp. 111-129
    • Kaptein, R.1    Kamps, J.2
  • 11
    • 70350681193 scopus 로고    scopus 로고
    • Collective annotation of wikipedia entities in web text
    • ACM
    • Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, and Soumen Chakrabarti. 2009. Collective annotation of wikipedia entities in web text. In Proc. of KDD, pages 457-466. ACM.
    • (2009) Proc. of KDD , pp. 457-466
    • Kulkarni, S.1    Singh, A.2    Ramakrishnan, G.3    Chakrabarti, S.4
  • 12
    • 0002542095 scopus 로고    scopus 로고
    • Combining local context and wordnet similarity for word sense identification
    • Claudia Leacock and Martin Chodorow. 1998. Combining local context and wordnet similarity for word sense identification. WordNet: An electronic lexical database, 49(2):265-283.
    • (1998) WordNet: An Electronic Lexical Database , vol.49 , Issue.2 , pp. 265-283
    • Leacock, C.1    Chodorow, M.2
  • 13
    • 84906924508 scopus 로고    scopus 로고
    • Dependencybased word embeddings
    • Omer Levy and Yoav Goldberg. 2014. Dependencybased word embeddings. In Proc. of ACL, volume 2, pages 302-308.
    • (2014) Proc. of ACL , vol.2 , pp. 302-308
    • Levy, O.1    Goldberg, Y.2
  • 14
    • 84952316342 scopus 로고    scopus 로고
    • Learning entity and relation embeddings for knowledge graph completion
    • Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015. Learning entity and relation embeddings for knowledge graph completion. In Proc. of AAAI.
    • (2015) Proc. of AAAI
    • Lin, Y.1    Liu, Z.2    Sun, M.3    Liu, Y.4    Zhu, X.5
  • 16
    • 84898956512 scopus 로고    scopus 로고
    • Distributed representations of words and phrases and their compositionality
    • Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013b. Distributed representations of words and phrases and their compositionality. In Proc. of NIPS, pages 3111-3119.
    • (2013) Proc. of NIPS , pp. 3111-3119
    • Mikolov, T.1    Sutskever, I.2    Chen, K.3    Corrado, G.S.4    Dean, J.5
  • 18
    • 38349104539 scopus 로고    scopus 로고
    • Knowledge derived from wikipedia for computing semantic relatedness
    • Simone Paolo Ponzetto and Michael Strube. 2007. Knowledge derived from wikipedia for computing semantic relatedness. JAIR, 30(1):181-212.
    • (2007) JAIR , vol.30 , Issue.1 , pp. 181-212
    • Paolo Ponzetto, S.1    Strube, M.2
  • 19
    • 0003033112 scopus 로고
    • Using information content to evaluate semantic similarity in a taxonomy
    • Philip Resnik. 1995. Using information content to evaluate semantic similarity in a taxonomy. In Proc. of IJCAI, pages 448-453.
    • (1995) Proc. of IJCAI , pp. 448-453
    • Resnik, P.1
  • 20
    • 84906924350 scopus 로고    scopus 로고
    • Learning sentiment-specific word embedding for twitter sentiment classification
    • Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, and Bing Qin. 2014. Learning sentiment-specific word embedding for twitter sentiment classification. In Proc. of ACL, pages 1555-1565.
    • (2014) Proc. of ACL , pp. 1555-1565
    • Tang, D.1    Wei, F.2    Yang, N.3    Zhou, M.4    Liu, T.5    Qin, B.6
  • 21
    • 57249084011 scopus 로고    scopus 로고
    • Visualizing data using t-sne
    • Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-sne. JMLR, 9(2579-2605):85.
    • (2008) JMLR , vol.9 , Issue.2579-2605 , pp. 85
    • Van Der Maaten, L.1    Hinton, G.2
  • 22
    • 84866697025 scopus 로고    scopus 로고
    • Learning hierarchical similarity metrics
    • IEEE
    • Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, and Vinod Nair. 2012. Learning hierarchical similarity metrics. In Proc. of CVPR, pages 2280-2287. IEEE.
    • (2012) Proc. of CVPR , pp. 2280-2287
    • Verma, N.1    Mahajan, D.2    Sellamanickam, S.3    Nair, V.4
  • 23
    • 84926065966 scopus 로고    scopus 로고
    • Knowledge graph and text jointly embedding
    • Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014. Knowledge graph and text jointly embedding. In Proc. of EMNLP.
    • (2014) Proc. of EMNLP
    • Wang, Z.1    Zhang, J.2    Feng, J.3    Chen, Z.4
  • 24
    • 84858773897 scopus 로고    scopus 로고
    • Large margin taxonomy embedding for document categorization
    • Kilian Q Weinberger and Olivier Chapelle. 2009. Large margin taxonomy embedding for document categorization. In Proc. of NIPS, pages 1737-1744.
    • (2009) Proc. of NIPS , pp. 1737-1744
    • Weinberger, K.Q.1    Chapelle, O.2
  • 25
    • 80053457157 scopus 로고    scopus 로고
    • Hierarchical classification via orthogonal transfer
    • Lin Xiao, Dengyong Zhou, and Mingrui Wu. 2011. Hierarchical classification via orthogonal transfer. In Proc. of ICML, pages 801-808.
    • (2011) Proc. of , pp. 801-808
    • Xiao, L.1    Zhou, D.2    Wu, M.3
  • 26
    • 85133386144 scopus 로고    scopus 로고
    • Distance metric learning with application to clustering with side-information
    • Eric P Xing, Michael I Jordan, Stuart Russell, and Andrew Y Ng. 2002. Distance metric learning with application to clustering with side-information. In Proc. of NIPS, pages 505-512.
    • (2002) Proc. of NIPS , pp. 505-512
    • Xing, E.P.1    Jordan, M.I.2    Russell, S.3    Ng, A.Y.4
  • 27
    • 84947774702 scopus 로고    scopus 로고
    • Learning word representations with hierarchical sparse coding
    • Dani Yogatama, Manaal Faruqui, Chris Dyer, and Noah Smith. 2015. Learning word representations with hierarchical sparse coding. Proc. of ICML.
    • (2015) Proc. of ICML
    • Yogatama, D.1    Faruqui, M.2    Dyer, C.3    Smith, N.4
  • 28
    • 84906924820 scopus 로고    scopus 로고
    • Bilingually-constrained phrase embeddings for machine translation
    • Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, and Chengqing Zong. 2014. Bilingually-constrained phrase embeddings for machine translation. In Proc. of ACL.
    • (2014) Proc. of ACL
    • Zhang, J.1    Liu, S.2    Li, M.3    Zhou, M.4    Zong, C.5
  • 29
    • 84897515863 scopus 로고    scopus 로고
    • Large-scale category structure aware image categorization
    • Bin Zhao, Fei Li, and Eric P Xing. 2011. Large-scale category structure aware image categorization. In Proc. of NIPS, pages 1251-1259.
    • (2011) Proc. of NIPS , pp. 1251-1259
    • Zhao, B.1    Li, F.2    Xing, E.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.