Publications
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Using genome context data to identify specific types of functional associations in pathway/genome databases
Genome-context methods have proved useful in providing clues about functional annotations for many proteins. They detect many biological types of functional associations, and do not identify which type of functional…
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Dimensions of Behavior of Toddlers Entering Early Intervention: Child and Family Correlates
This study examined the nature and correlates of the behavioral characteristics of a nationally representative sample of 1612 toddlers 18–31 months of age entering Part C early intervention services in…
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Intel Teach Essentials Online: Interim Report For U.S. Formative Evaluation
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Model Adaptation for Dialog Act Tagging
In this study we used the ICSI meeting corpus with high-level meeting recognition dialog act (MRDA) tags, that is, question, statement, backchannel, disruptions, and floor grabbers/holders. We performed controlled adaptation…
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Model Adaptation for Sentence Segmentation from Speech
This paper analyzes various methods to adapt sentence segmentation models trained on conversational telephone speech (CTS) to meeting style conversations. The sentence segmentation model trained using a large amount of…
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Teaching and California’s Future: California’s Teaching Force 2006: Key Issues and Trends
This annual report discusses trends in the supply, demand, and distribution of California teachers; details the impact of state policy changes on the teacher development system; and highlights themes that…
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A Case Study in Engineering a Knowledge Base for an Intelligent Personal Assistant
We present a case study in engineering a large knowledge base (KB) to meet the requirements of a personal assistant. We discuss our KB development methodology and the engineering challenges…
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Presentation of Information for Link Analysis
SRI's LAW (Link Analysis Workbench) is a system that helps intelligence analysts detect occurrences of situations of interest by finding pattern instances in vast amounts of data using graph edit…
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Localization in Horizontal-Only Ambisonic Systems
We test the localization of horizontal-only Ambisonic reproduction systems using various test signals to separately evaluate low-frequency and mid-frequency localization.
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A Study in Machine Learning from Imbalanced Data for Sentence Boundary Detection in Speech
We have constructed a hidden Markov model (HMM) system to detect sentence boundaries that uses both prosodic and textual information. Since there are more non-sentence boundaries than sentence boundaries in…
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Infusing IT/STEM Skill Standards in Informal ITEST Learning
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Morphology-based Language Modeling for Conversational Arabic Speech Recognition
In this paper, we investigate improvements in Arabic language modeling by developing various morphology-based language models. We present four different approaches to morphology-based language modeling, including a novel technique called…