Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
The use of commercial natural language interface in the ATIS task
HLT '91 Proceedings of the workshop on Speech and Natural Language
IEEE Transactions on Knowledge and Data Engineering
The Application of Semantic Classification Trees to Natural Language Understanding
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Hidden understanding models of natural language
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
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HLT '91 Proceedings of the workshop on Speech and Natural Language
A relaxation method for understanding spontaneous speech utterances
HLT '91 Proceedings of the workshop on Speech and Natural Language
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HLT '94 Proceedings of the workshop on Human Language Technology
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ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
A speech understanding system based on statistical representation of semantics
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Learning speech semantics with keyword classification trees
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Coupled hierarchical IR and stochastic models for surface information extraction
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
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We propose a model for a statistical representation of the conceptual structure in a restricted subset of spoken natural language. The model is used for segmenting a sentence into phrases and labeling them with concept relations (or cases). The model is trained using a corpus of annotated transcribed sentences. The performance of the model was assessed on two tasks, including DARPA ATIS class A sentences.