메뉴 건너뛰기




Volumn 71, Issue 7-9, 2008, Pages 1172-1179

Syntactic systematicity in sentence processing with a recurrent self-organizing network

Author keywords

Next word prediction; Recurrent neural network; Self organization; Systematicity

Indexed keywords

DATA PROCESSING; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; SELF ORGANIZING MAPS; SYNTACTICS;

EID: 40649098781     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.11.025     Document Type: Article
Times cited : (16)

References (27)
  • 2
    • 1542680967 scopus 로고    scopus 로고
    • Generalization by symbolic abstraction in cascaded recurrent networks
    • Bodén M. Generalization by symbolic abstraction in cascaded recurrent networks. Neurocomputing 57 (2004) 87-104
    • (2004) Neurocomputing , vol.57 , pp. 87-104
    • Bodén, M.1
  • 3
    • 84986837759 scopus 로고
    • On being systematically connectionist
    • Bodén M., and van Gelder T. On being systematically connectionist. Mind Lang. 9 3 (1994) 288-302
    • (1994) Mind Lang. , vol.9 , Issue.3 , pp. 288-302
    • Bodén, M.1    van Gelder, T.2
  • 4
    • 21144460472 scopus 로고
    • Connectionism and compositionality: why Fodor and Pylyshyn were wrong
    • Chalmers D. Connectionism and compositionality: why Fodor and Pylyshyn were wrong. Philos. Psychol. 6 (1993) 305-319
    • (1993) Philos. Psychol. , vol.6 , pp. 305-319
    • Chalmers, D.1
  • 5
    • 84986770414 scopus 로고
    • Generalization and connectionist language learning
    • Christiansen M., and Chater N. Generalization and connectionist language learning. Mind Lang. 9 (1994) 273-287
    • (1994) Mind Lang. , vol.9 , pp. 273-287
    • Christiansen, M.1    Chater, N.2
  • 6
    • 26444565569 scopus 로고
    • Finding structure in time
    • Elman J. Finding structure in time. Cognitive Sci. 14 (1990) 179-211
    • (1990) Cognitive Sci. , vol.14 , pp. 179-211
    • Elman, J.1
  • 7
    • 0027636611 scopus 로고
    • Learning and development in neural networks: the importance of starting small
    • Elman J. Learning and development in neural networks: the importance of starting small. Cognition 48 1 (1993) 71-79
    • (1993) Cognition , vol.48 , Issue.1 , pp. 71-79
    • Elman, J.1
  • 8
    • 40649094325 scopus 로고    scopus 로고
    • I. Farkaš, M. Crocker, Recurrent networks and natural language: exploiting self-organization, in: Proceedings of the 28th Annual Conference of the Cognitive Science Society, Lawrence Erlbaum, Hillsdale, NJ, 2006.
    • I. Farkaš, M. Crocker, Recurrent networks and natural language: exploiting self-organization, in: Proceedings of the 28th Annual Conference of the Cognitive Science Society, Lawrence Erlbaum, Hillsdale, NJ, 2006.
  • 9
    • 84886999426 scopus 로고    scopus 로고
    • I. Farkaš, M. Crocker, Systematicity in sentence processing with a recursive self-organizing neural network, in: Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007.
    • I. Farkaš, M. Crocker, Systematicity in sentence processing with a recursive self-organizing neural network, in: Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007.
  • 10
    • 0023968207 scopus 로고
    • Connectionism and cognitive architecture: a critical analysis
    • Fodor J., and Pylyshyn Z. Connectionism and cognitive architecture: a critical analysis. Cognition 28 (1988) 3-71
    • (1988) Cognition , vol.28 , pp. 3-71
    • Fodor, J.1    Pylyshyn, Z.2
  • 11
    • 33748808428 scopus 로고    scopus 로고
    • Learn more by training less: systematicity in sentence processing by recurrent networks
    • Frank S. Learn more by training less: systematicity in sentence processing by recurrent networks. Connection Sci. 18 3 (2006) 287-302
    • (2006) Connection Sci. , vol.18 , Issue.3 , pp. 287-302
    • Frank, S.1
  • 12
    • 33749832400 scopus 로고    scopus 로고
    • Strong systematicity in sentence processing by an echo-state network
    • Springer, Berlin
    • Frank S. Strong systematicity in sentence processing by an echo-state network. Proceedings of ICANN, Part I, Lecture Notes in Computer Science vol. 4131 (2006), Springer, Berlin
    • (2006) Proceedings of ICANN, Part I, Lecture Notes in Computer Science , vol.4131
    • Frank, S.1
  • 13
    • 84986860288 scopus 로고
    • Systematicity in connectionist language learning
    • Hadley R. Systematicity in connectionist language learning. Mind Lang. 9 3 (1994) 247-272
    • (1994) Mind Lang. , vol.9 , Issue.3 , pp. 247-272
    • Hadley, R.1
  • 14
    • 0035536722 scopus 로고    scopus 로고
    • Syntactic systematicity arising from semantic predictions in a hebbian-competitive network
    • Hadley R., Rotaru-Varga A., Arnold D., and Cardei V. Syntactic systematicity arising from semantic predictions in a hebbian-competitive network. Connection Sci. 13 (2001) 73-94
    • (2001) Connection Sci. , vol.13 , pp. 73-94
    • Hadley, R.1    Rotaru-Varga, A.2    Arnold, D.3    Cardei, V.4
  • 16
    • 78349289898 scopus 로고    scopus 로고
    • Adaptive nonlinear system identification with echo state networks
    • MIT Press, Cambridge, MA
    • Jaeger H. Adaptive nonlinear system identification with echo state networks. Advances in Neural Information Processing Systems vol. 15 (2003), MIT Press, Cambridge, MA
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • Jaeger, H.1
  • 18
    • 0029690502 scopus 로고    scopus 로고
    • Subsymbolic case-role analysis of sentences with embedded clauses
    • Miikkulainen R. Subsymbolic case-role analysis of sentences with embedded clauses. Cognitive Sci. 20 (1996) 47-73
    • (1996) Cognitive Sci. , vol.20 , pp. 47-73
    • Miikkulainen, R.1
  • 19
    • 33847102312 scopus 로고    scopus 로고
    • Do people use language production to make predictions during comprehension
    • Pickering M., and Garrod S. Do people use language production to make predictions during comprehension. Trends Cognitive Sci. 11 (2007) 105-110
    • (2007) Trends Cognitive Sci. , vol.11 , pp. 105-110
    • Pickering, M.1    Garrod, S.2
  • 20
    • 0032888001 scopus 로고    scopus 로고
    • Language acquisition in the absence of explicit negative evidence: how important is starting small?
    • Rohde D., and Plaut D. Language acquisition in the absence of explicit negative evidence: how important is starting small?. Cognition 72 (1999) 67-109
    • (1999) Cognition , vol.72 , pp. 67-109
    • Rohde, D.1    Plaut, D.2
  • 21
    • 34547966478 scopus 로고    scopus 로고
    • Connectionist models of language processing
    • Rohde D., and Plaut D. Connectionist models of language processing. Cognitive Stud. 10 1 (2003) 10-28
    • (2003) Cognitive Stud. , vol.10 , Issue.1 , pp. 10-28
    • Rohde, D.1    Plaut, D.2
  • 22
    • 26844431992 scopus 로고    scopus 로고
    • On non-Markovian topographic organization of receptive fields in recursive self-organizing map
    • Wang L., Chen K., and Ong Y. (Eds), Springer, Berlin
    • Tiňo P., and Farkaš I. On non-Markovian topographic organization of receptive fields in recursive self-organizing map. In: Wang L., Chen K., and Ong Y. (Eds). Advances in Natural Computation, ICNC 2005, Lecture Notes in Computer Science (2005), Springer, Berlin
    • (2005) Advances in Natural Computation, ICNC 2005, Lecture Notes in Computer Science
    • Tiňo, P.1    Farkaš, I.2
  • 24
    • 33749430260 scopus 로고    scopus 로고
    • Dynamics and topographic organization in recursive self-organizing map
    • Tiňo P., Farkaš I., and van Mourik J. Dynamics and topographic organization in recursive self-organizing map. Neural Comput. 18 (2006) 2529-2567
    • (2006) Neural Comput. , vol.18 , pp. 2529-2567
    • Tiňo, P.1    Farkaš, I.2    van Mourik, J.3
  • 25
    • 2542530088 scopus 로고    scopus 로고
    • Lack of combinatorial productivity in language processing with simple recurrent networks
    • van der Velde F., van der Voort van der Kleij G., and de Kamps M. Lack of combinatorial productivity in language processing with simple recurrent networks. Connection Sci. 16 1 (2004) 21-46
    • (2004) Connection Sci. , vol.16 , Issue.1 , pp. 21-46
    • van der Velde, F.1    van der Voort van der Kleij, G.2    de Kamps, M.3
  • 26
    • 0036790884 scopus 로고    scopus 로고
    • Recursive self-organizing maps
    • Voegtlin T. Recursive self-organizing maps. Neural Networks 15 8-9 (2002) 979-992
    • (2002) Neural Networks , vol.15 , Issue.8-9 , pp. 979-992
    • Voegtlin, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.