High level knowledge sources in usable speech recognition systems
Communications of the ACM
Distributed Representations, Simple Recurrent Networks, And Grammatical Structure
Machine Learning - Connectionist approaches to language learning
Management of hypotheses in an integrated speech-language architecture
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
The nature of statistical learning theory
The nature of statistical learning theory
Speech Communication - Special issue on interactive voice technology for telecommunication applications (IVITA '96)
TRIPs: an integrated intelligent problem-solving assistant
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Making large-scale support vector machine learning practical
Advances in kernel methods
Grammar fragment acquisition using syntactic and semantic clustering
Speech Communication
Hybrid neural plausibility networks for news agents
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Speech Communication - Special issue on interactive voice technology for telecommunication applications
An architecture for more realistic conversational systems
Proceedings of the 6th international conference on Intelligent user interfaces
Spoken dialogue technology: enabling the conversational user interface
ACM Computing Surveys (CSUR)
Statistical Language Learning
Information Retrieval
Finite-State Language Processing
Finite-State Language Processing
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Semantic information processing of spoken language: how may I help you?
Proceedings of the 8th international conference on Intelligent user interfaces
Estimating the Generalization Performance of an SVM Efficiently
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Preference Moore Machines for Neural Fuzzy Integration
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Vector-based natural language call routing
Computational Linguistics
Beyond n-grams: can linguistic sophistication improve language modeling?
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Dialogue management in vector-based call routing
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Journal of Artificial Intelligence Research
The generalization error of the symmetric and scaled support vector machines
IEEE Transactions on Neural Networks
Location determination of mobile devices for an indoor WLAN application using a neural network
Knowledge and Information Systems
Unsupervised classification of dialogue acts using a dirichlet process mixture model
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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Our objective is spoken-language classification for helpdesk call routing using a scanning understanding and intelligent-system techniques. In particular, we examine simple recurrent networks, support-vector machines and finite-state transducers for their potential in this spoken-language-classification task and we describe an approach to classification of recorded operator-assistance telephone utterances. The main contribution of the paper is a comparison of a variety of techniques in the domain of call routing. Support-vector machines and transducers are shown to have some potential for spoken-language classification, but the performance of the neural networks indicates that a simple recurrent network performs best for helpdesk call routing.