Publications
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Adaptive Process Management: An AI Perspective
In an effort to encourage the exchange of ideas, this paper explores how techniques from intelligent reactive control might be leveraged to provide adaptivity within workflow technologies, while also acknowledging…
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Metabolic Databases
This article will describe some of the uses of these databases and then provide descriptions of the metabolic databases available.
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Multistrategy learning for information extraction
We describe three different multistrategy approaches. Experiments on two IE domains a collection of electronic seminar announcements from a university computer science department and a set of newswire articles describing…
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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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Automatic Pronunciation Scoring of Specific Phone Segments for Language Instruction
The aim of the work described in this paper is to develop methods for automatically assessing the pronunciation quality of specific phone segments uttered by students learning a foreign language.
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A Prosody-Only Decision-Tree Model for Disfluency Detection
We have developed a disfluency detection method using decision tree classifiers that use only local and automatically extracted prosodic features. Because the model doesn't rely on lexical information, it is…
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Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms
We present an alternative approach based on a set of simple block diagram manipulation rules. The approach provides a common framework to derive popular algorithms including backpropagation and backpropagation-through-time, without…
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A Lognormal Tied Mixture Model of Pitch for Prosody-Based Speaker Recognition
In this work, we develop a statistical model of pitch that allows unbiased estimation of pitch statistics from pitch tracks which are subject to doubling and/or halving.
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Modeling Linguistic Segment and Turn Boundaries for N-best Rescoring of Spontaneous Speech
We present an N-best rescoring algorithm that removes the effect of segmentation mismatch. Furthermore, we show that explicit language modeling of hidden linguistic segment boundaries is improved by including turn-boundary…
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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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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…