Publications
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Mapping The Distribution Of Expertise And Resources In A School: Investigating The Potential Of Using Social Network Analysis In Evaluation
This paper describes results of a study investigating the potential of using social network analysis to evaluate the capacity of a school to undertake a schoolwide educational reform.
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Singapore Tablet PC Program Study: Executive Summary and Final Report, Volume 2, Technical Appendicies
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VERL: An ontology framework for representing and annotating video events
This article describes the findings of a recent workshop series that has produced an ontology framework for representing video events-called Video Event Representation Language (VERL) -and a companion annotation framework,…
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Task Management under Change and Uncertainty: Constraint Solving Experience with the CALO Project
We outline the challenges and opportunities presented by constraint solving in the presence of change and uncertainty, embodied in CALO's personalized time management and task reasoning and execution systems.
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Two Experiments Comparing Reading with Listening for Human Processing of Conversational Telephone Speech
We report on results of two experiments designed to compare subjects’ ability to extract information from audio recordings of conversational telephone speech (CTS) with their ability to extract information from…
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Meeting Structure Annotation: Data and Tools
We present a set of annotations of hierarchical topic segmentations and action item sub-dialogues collected over 65 meetings from the ICSI and ISL meeting corpora, designed to support automatic meeting…
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Spoken Language Understanding
SLU systems contain an automatic speech recognition (ASR) component and must be robust to noise due to the spontaneous nature of spoken language and the errors introduced by ASR. SLU…
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Development of a Conversational Telephone Speech Recognizer for Levantine Arabic
In this paper, we describe the development of a large-vocabulary speech recognition system for Levantine Arabic, which was a new dialectal recognition task for our existing system. We discuss the…
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Does Active Learning Help Automatic Dialog Act Tagging in Meeting Data?
We ask if active learning with lexical cues can help for this task and this domain. To better address this question, we explore active learning for two different types of…
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Pushing the Envelope — Aside
Despite successes, there are still significant limitations to speech recognition performance. For this reason, authors have proposed methods that incorporate different (and larger) analysis windows, which are described in this…
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Comparing HMM, Maximum Entropy, and Conditional Random Fields for Disfluency Detection
We compare a generative hidden Markov model (HMM)-based approach and two conditional models — a maximum entropy (Maxent) model and a conditional random field (CRF) — for detecting disfluencies in…
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Distinguishing Deceptive from Non-Deceptive Speech
We present results from a study seeking to distinguish deceptive from non-deceptive speech using machine learning techniques on features extracted from a large corpus of deceptive and non-deceptive speech. We…