Subsymbolic natural language processing: an integrated model of scripts, lexicon, and memory
Subsymbolic natural language processing: an integrated model of scripts, lexicon, and memory
Integrating rules and connectionism for robust commonsense reasoning
Integrating rules and connectionism for robust commonsense reasoning
A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Backpropagation: the basic theory
Backpropagation
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A soft computing framework for adaptive agents
Soft computing agents
Neural Network Agents for Learning Semantic Text Classification
Information Retrieval
Recurrent Neural Learning for Helpdesk Call Routing
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Knowledge and Information Systems
Spoken language classification using hybrid classifier combination
International Journal of Hybrid Intelligent Systems
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Robust text classification using a hysteresis-driven extended SRN
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Hybrid parallel classifiers for semantic subspace learning
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
A fast subspace text categorization method using parallel classifiers
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Hybrid preference machines based on inspiration from neuroscience
Cognitive Systems Research
Adaptive learning of linguistic hierarchy in a multiple timescale recurrent neural network
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
A document is known by the company it keeps: neighborhood consensus for short text categorization
Language Resources and Evaluation
Hybrid classifiers based on semantic data subspaces for two-level text categorization
International Journal of Hybrid Intelligent Systems
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This paper describes a learning news agent HyNeT which uses hybrid neural network techniques for classifying news titles as they appear on an internet newswire. Recurrent plausibility networks with local memory are developed and examined for learning robust text routing. HyNeT is described for the first time in this paper. We show that a careful hybrid integration of techniques from neural network architectures, learning and information retrieval can reach consistent recall and precision rates of more than 92% on an 82 000 word corpus; this is demonstrated for 10000 unknown news titles from the Reuters newswire. This new synthesis of neural networks, learning and information retrieval techniques allows us to scale up to a real-world task and demonstrates a lot of potential for hybrid plausibility networks for semantic text routing agents on the internet.