Knowledge Extraction and Recurrent Neural Networks: An Analysis of an Elman Network trained on a Natural Language Learning Task

Proceedings of the Joint Conference on New Methods in Language Processing and Computational Natural Language Learning, NeMLaP/CoNLL 1998

Volumn , Issue , 1998, Pages 73-78

  Schellhammer, Ingo ^a,b   Diederich, Joachim ^a   Towsey, Michael ^a   Brugman, Claudia ^c  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF MÜNSTER   (Germany)

^c UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; NATURAL LANGUAGE PROCESSING SYSTEMS;

ELMAN NETWORK; ELMAN'S RECURRENT NEURAL NETWORKS; KNOWLEDGE EXTRACTION; LEARN+; LEARNING TASKS; NATURAL LANGUAGE LEARNING; PRIMARY SCHOOLS; PRIOR-KNOWLEDGE; STATE-TRANSITION DIAGRAMS; TEXT STATISTICS;

RECURRENT NEURAL NETWORKS;

EID: 46949087904     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Andrews, tL, Diederich, J., & Tickle A.B. (1995). A survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-Based Systems, 8(6);373-389
2. Elman, J.L. (1990). Finding Structure in Time. CognitiveScience14, 179-211.
3. Giles, C.L. & Omlin, C.W. (1993a). Rule refinement with recurrent neural networks. Proceedings. of the 1EEEInternationalConferenceon NeuralNetworks (pp. 801-806). San Francisco, CA.
4. Giles, C.L. & Omlin, C.W. (1993b). Extraction, insertion, and refinement of symbolic rules in dynamically driven recurrent networks. Connection Science, 5(3 & 4), 307-328.