메뉴 건너뛰기




Volumn 94, Issue 2, 2014, Pages 233-259

A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation

Author keywords

Multi relational data; Neural networks; Word sense disambiguation

Indexed keywords


EID: 84894904920     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-013-5363-6     Document Type: Article
Times cited : (677)

References (57)
  • 1
    • 85143187999 scopus 로고    scopus 로고
    • The Berkeley FrameNet project
    • Baker, C., Fillmore, C., & Lowe, J. (1998). The Berkeley FrameNet project. In ACL '98 (pp. 86-90).
    • (1998) ACL '98 , pp. 86-90
    • Baker, C.1    Fillmore, C.2    Lowe, J.3
  • 3
    • 79959407847 scopus 로고    scopus 로고
    • Neural net language models
    • 10.4249/scholarpedia.3881
    • Bengio, Y. (2008). Neural net language models. Scholarpedia, 3(1), 3881. http://www.scholarpedia.org/article/Neural
    • (2008) Scholarpedia , vol.3 , Issue.1 , pp. 3881
    • Bengio, Y.1
  • 8
    • 84954213973 scopus 로고    scopus 로고
    • Joint learning of words and meaning representations for open-text semantic parsing
    • Bordes, A., Glorot, X., Weston, J., & Bengio, Y. (2012). Joint learning of words and meaning representations for open-text semantic parsing. Journal of Machine Learning Research, 22, 127-135.
    • (2012) Journal of Machine Learning Research , vol.22 , pp. 127-135
    • Bordes, A.1    Glorot, X.2    Weston, J.3    Bengio, Y.4
  • 11
    • 84859883029 scopus 로고    scopus 로고
    • Affectivespace: Blending common sense and affective knowledge to perform emotive reasoning
    • Cambria, E., Hussain, A., Havasi, C., & Eckl, C. (2009). Affectivespace: blending common sense and affective knowledge to perform emotive reasoning. In WOMSA at CAEPIA (pp. 32-41).
    • (2009) WOMSA at CAEPIA , pp. 32-41
    • Cambria, E.1    Hussain, A.2    Havasi, C.3    Eckl, C.4
  • 12
    • 85153936556 scopus 로고
    • Learning many related tasks at the same time with backpropagation
    • G. Tesauro D. Touretzky T. Leen (eds) Advances in neural information processing systems 7 MIT Press Cambridge
    • Caruana, R. (1995). Learning many related tasks at the same time with backpropagation. In G. Tesauro, D. Touretzky, & T. Leen (Eds.), Advances in neural information processing systems: Vol. 7. NIPS'94 (pp. 657-664). Cambridge: MIT Press.
    • (1995) NIPS'94 , pp. 657-664
    • Caruana, R.1
  • 13
    • 84862293016 scopus 로고    scopus 로고
    • Probabilistic models for incomplete multi-dimensional arrays
    • Chu, W., & Ghahramani, Z. (2009). Probabilistic models for incomplete multi-dimensional arrays. Journal of Machine Learning Research, 5, 89-96.
    • (2009) Journal of Machine Learning Research , vol.5 , pp. 89-96
    • Chu, W.1    Ghahramani, Z.2
  • 32
    • 0000600219 scopus 로고    scopus 로고
    • A solution to plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge
    • 10.1037/0033-295X.104.2.211
    • Landauer, T., & Dumais, S. (1997). A solution to plato's problem: the latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104(2), 211.
    • (1997) Psychological Review , vol.104 , Issue.2 , pp. 211
    • Landauer, T.1    Dumais, S.2
  • 33
    • 35148893484 scopus 로고    scopus 로고
    • A tutorial on energy-based learning
    • G. Bakir T. Hofman B. Schölkopf A. Smola B. Taskar (eds) MIT Press Cambridge
    • Lecun, Y., Chopra, S., Hadsell, R., Marc'aurelio, R., & Huang, F. (2006). A tutorial on energy-based learning. In G. Bakir, T. Hofman, B. Schölkopf, A. Smola, & B. Taskar (Eds.), Predicting structured data. Cambridge: MIT Press.
    • (2006) Predicting Structured Data
    • Lecun, Y.1    Chopra, S.2    Hadsell, R.3    Marc'Aurelio, R.4    Huang, F.5
  • 35
    • 0000458784 scopus 로고    scopus 로고
    • Producing high-dimensional semantic spaces from lexical co-occurrence
    • Lund, K., & Burgess, C. (1996). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, 28(2), 203-208.
    • (1996) Behavior Research Methods , vol.28 , Issue.2 , pp. 203-208
    • Lund, K.1    Burgess, C.2
  • 36
    • 55349083681 scopus 로고    scopus 로고
    • On the use of automatically acquired examples for all-nouns word sense disambiguation
    • 1183.68642
    • Martinez, D., de Lacalle, O., & Agirre, E. (2008). On the use of automatically acquired examples for all-nouns word sense disambiguation. The Journal of Artificial Intelligence Research, 33, 79-107.
    • (2008) The Journal of Artificial Intelligence Research , vol.33 , pp. 79-107
    • Martinez, D.1    De Lacalle, O.2    Agirre, E.3
  • 37
    • 0037293358 scopus 로고    scopus 로고
    • An upper level ontology for the biomedical domain
    • 10.1002/cfg.255
    • McCray, A. T. (2003). An upper level ontology for the biomedical domain. Comparative and Functional Genomics, 4, 80-88.
    • (2003) Comparative and Functional Genomics , vol.4 , pp. 80-88
    • McCray, A.T.1
  • 38
    • 79951739147 scopus 로고    scopus 로고
    • Nonparametric latent feature models for link prediction
    • Y. Bengio D. Schuurmans J. Lafferty C. K. I. Williams A. Culotta (eds)
    • Miller, K., Griffiths, T., & Jordan, M. (2009). Nonparametric latent feature models for link prediction. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, & A. Culotta (Eds.), Advances in neural information processing systems (Vol. 22, pp. 1276-1284).
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 1276-1284
    • Miller, K.1    Griffiths, T.2    Jordan, M.3
  • 39
    • 84859927665 scopus 로고    scopus 로고
    • Vector-based models of semantic composition
    • Mitchell, J., & Lapata, M. (2008). Vector-based models of semantic composition. In Proceedings of ACL-08: HLT (pp. 236-244).
    • (2008) Proceedings of ACL-08: HLT , pp. 236-244
    • Mitchell, J.1    Lapata, M.2
  • 43
    • 84894901751 scopus 로고    scopus 로고
    • Learning distributed representations of concepts from relational data
    • Paccanaro, A. (2000). Learning distributed representations of concepts from relational data. IEEE Transactions on Knowledge and Data Engineering, 13, 200.
    • (2000) IEEE Transactions on Knowledge and Data Engineering , vol.13 , pp. 200
    • Paccanaro, A.1
  • 44
    • 0035271945 scopus 로고    scopus 로고
    • Learning distributed representations of concepts using linear relational embedding
    • 10.1109/69.917563
    • Paccanaro, A., & Hinton, G. (2001). Learning distributed representations of concepts using linear relational embedding. IEEE Transactions on Knowledge and Data Engineering, 13, 232-244.
    • (2001) IEEE Transactions on Knowledge and Data Engineering , vol.13 , pp. 232-244
    • Paccanaro, A.1    Hinton, G.2
  • 47
    • 0000016172 scopus 로고
    • A stochastic approximation method
    • 10.1214/aoms/1177729586 0054.05901 42668
    • Robbins, H., & Monro, S. (1951). A stochastic approximation method. The Annals of Mathematical Statistics, 22, 400-407.
    • (1951) The Annals of Mathematical Statistics , vol.22 , pp. 400-407
    • Robbins, H.1    Monro, S.2
  • 48
    • 84877728550 scopus 로고    scopus 로고
    • Dimensionality of nations project: Attributes of nations and behavior of nation dyads
    • Rummel, R. J. (1999). Dimensionality of nations project: attributes of nations and behavior of nation dyads. In ICPSR data file (pp. 1950-1965).
    • (1999) ICPSR Data File , pp. 1950-1965
    • Rummel, R.J.1
  • 49
    • 84883327558 scopus 로고    scopus 로고
    • Open text semantic parsing using FrameNet and WordNet
    • Boston, MA, USA 10.3115/1614025.1614031
    • Shi, L., & Mihalcea, R. (2004). Open text semantic parsing using FrameNet and WordNet. In HLT-NAACL 2004: demonstration papers, Boston, MA, USA (pp. 19-22).
    • (2004) HLT-NAACL 2004: Demonstration Papers , pp. 19-22
    • Shi, L.1    Mihalcea, R.2
  • 51
    • 0025516779 scopus 로고
    • Tensor product variable binding and the representation of symbolic structures in connectionist systems
    • 10.1016/0004-3702(90)90007-M 0717.68095 1080409
    • Smolensky, P. (1990). Tensor product variable binding and the representation of symbolic structures in connectionist systems. Artificial Intelligence, 46(1), 159-216.
    • (1990) Artificial Intelligence , vol.46 , Issue.1 , pp. 159-216
    • Smolensky, P.1
  • 55
    • 0013953617 scopus 로고
    • Some mathematical notes on three-mode factor analysis
    • 10.1007/BF02289464 205395
    • Tucker, L. R. (1966). Some mathematical notes on three-mode factor analysis. Psychometrika, 31, 279-311.
    • (1966) Psychometrika , vol.31 , pp. 279-311
    • Tucker, L.R.1
  • 57
    • 77955654853 scopus 로고    scopus 로고
    • Large scale image annotation: Learning to rank with joint word-image embeddings
    • 10.1007/s10994-010-5198-3 3108171
    • Weston, J., Bengio, S., & Usunier, N. (2010). Large scale image annotation: learning to rank with joint word-image embeddings. Machine Learning, 81, 21-35.
    • (2010) Machine Learning , vol.81 , pp. 21-35
    • Weston, J.1    Bengio, S.2    Usunier, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.