Publications
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Counselor Simulation Guide, Levels 1-3
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Reasoning about Locations in Theory and Practice
This paper addresses both theoretical and practical issues relevant to reasoning about locations. Techniques for the efficient operationalization of the belief revision rules in planning frameworks are presented.
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Scalable Integration Of Educational Software: Exploring The Promise Of Component Architectures
We describe an exploratory effort in which four research groups produced software components for the mathematics of motion.
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Coordinating Planning Activity and Information Flow in a Distributed Planning System
Distributed SIPE (DSIPE) is a distributed planning system that provides decision support to human planners in a collaborative planning environment.
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The Mathematics Of Change And Variation From A Millennial Perspective: New Content, New Context
We shall examine large-scale trends in content changes and in context changes for learning and using mathematics. From this set of factors, we raise three questions.
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Automatic Detection of Discourse Structure for Speech Recognition and Understanding
We describe a new approach for statistical modeling and detection of discourse structure for natural conversational speech. Our model is based on 42 `Dialog Acts' (DAs), (question, answer, backchannel, agreement,…
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Using Information Extraction to Improve Information Retrieval
The authors describe an approach to applying a particular kind of Natural Language Processing NLP system to the TREC routing task in Information Retrieval IR.
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Explicit Word Error Minimization in N-best List Rescoring
We show that the standard hypothesis scoring paradigm used in maximum-likelihood-based speech recognition systems is not optimal with regard to minimizing the word error rate, the commonly used performance metric…
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Mixture Input Transformations for Adaptation of Hybrid Connectionist Speech Recognizers
In this paper, we propose a new algorithm to train mixtures of transformation networks (MTNs) in the hybrid connectionist recognition framework. We apply the new algorithm to nonnative speaker adaptation,…
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Acoustic Clustering and Adaptation for Robust Speech Recognition
We describe an algorithm based on acoustic clustering and acoustic adaptation to significantly improve speech recognition performance. The method is particularly useful when speech from multiple speakers is to be…
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Structure and Performance of a Dependency Language Model
We present a maximum entropy language model that incorporates both syntax and semantics via a dependency grammar.
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Speech: A Privileged Modality
In this article, we use our interaction model to demonstrate that during multimodal fusion, speech should be a privileged modality, driving the interpretation of a query, and that in certain…