Speech & natural language publications
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Fastus: A System For Extracting Information From Natural-Language Text
FASTUS is a system for extracting information from free text in English, and potentially other languages as well, for entry into a database, and potentially for other applications. It works…
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Hybrid Neural Network/Hidden Markov Model Continuous Speech Recognition
In this paper we present a hybrid multilayer perceptron (MLP)/hidden Markov model (HMM) speaker-independent continuous-speech recognition system, in which the advantages of both approaches are combined by using MLPs to…
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Connectionist Gender Adaptation in a Hybrid Neural Network / Hidden Markov Model Speech Recognition System
An approach to modeling long-term consistencies in peech signal within the framework of a hybrid Hidden Markov Model (HMM) / Multilayer Perceptron (MLP peaker-independent continuous-speech recognition system is presented.
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Integrating Multiple Knowledge Sources for Detection and Correction of Repairs in Human-computer Dialog
We present here criteria and techniques for automatically detecting the presence of a repair, its location, and making the appropriate correction. The criteria involve integration of knowledge from several sources:…
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Detection and Correction Of Repairs In Human-Computer Dialog
We present here criteria and techniques for automatically detecting the presence of a repair, its location, and making the appropriate correction. The criteria involve integration of knowledge from several sources:…
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Context-Dependent Connectionist Probability Estimation in a Hybrid HMM-Neural Net Speech Recognition System
In this paper we present a training method and a network architecture for the estimation of context-dependent observation probabilities in the framework of a hybrid Hidden Markov Model (HMM) /…
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Multiple-State Context-Dependent Phonetic Modeling with MLPs
In this paper we present a new MLP architecture and training procedure for modeling context-dependent phonetic classes with a sequence of distributions.
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Combining Neural Networks and Hidden Markov Models for Continuous Speech Recognition
We present a speaker-independent, continuous-speech recognition system based on a hybrid multilayer perceptron (MLP)/hidden Markov model (HMM). The system combines the advantages of both approaches by using MLPs to estimate…
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Integrating Neural Networks into Computer Speech Recognition Systems
The work described here involved integrating neural networks into a hidden Markov model-based state-of-the-art continuous-speech recognition system, resulting in improvements in recognition accuracy and reductions in model complexity.
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The Role Of Natural Language In A Multimodal Interface
This paper presents an interface that blends natural language processing and direct manipulation technologies, using each for their characteristic advantages. Specifically, the paper shows how to use natural language to…
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The Tacitus System: The Muc-3 Experience
We describe and evaluate a method for dealing with unknown words and a method for filtering out sentences irrelevant to the task. Each of these techniques has been evaluated, and…
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Metaphor and Abduction
In this paper a recent approach to inference in text understanding based on abduction is applied to the problem of metaphor interpretation. The fundamental ideas in the "interpretation as abduction"…