SRI International
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An Unfinished Canvas: Arts Education in California: Taking Stock of Policies and Practices – Summary Report
This first-ever comprehensive study of the state of arts education in California has sought to fill the current information gap by taking stock of arts education policies and practices.
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Detecting and Summarizing Action Items in Multi-Party Dialogue
This paper addresses the problem of identifying action items discussed in open-domain conversational speech, and does so in two stages: firstly, detecting the subdialogues in which action items are proposed, discussed and committed to; and secondly, extracting the phrases that accurately capture or summarize the tasks they involve.
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Medical Device Applications of Dielectric Elastomer- Based Artificial Muscles for Mpmd 2007, Palm Desert, California
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Resolving ”You” in Multi-Party Dialog
This paper presents experiments into the resolution of “you” in multi-party dialog, dividing this process into two tasks: distinguishing between generic and referential uses; and then, for referential uses, identifying the referred-to addressee(s).
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An Unfinished Canvas – Arts Education in the San Francisco Bay Area: A Supplementary Status Report
The research supporting An Unfinished Canvas was undertaken to document the status of arts education in California schools and assess the extent to which schools were meeting state goals for arts education.
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Textual inference logic: take two
This note describes a logical system based on concepts and contexts, whose aim is to serve as a representation language for meanings of natural language sentences.
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Assimilating IT in the workplace: a study of situated learning
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Exploiting Information Extraction Annotations for Document Retrieval in Distillation Tasks
In this paper, we present our approach for using information extraction annotations to augment document retrieval for distillation. We take advantage of the fact that some of the distillation queries can be associated with annotation elements introduced for the NIST Automatic Content Extraction (ACE) task.
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Integrating MAP, Marginals, and Unsupervised Language Model Adaptation
We investigate the integration of various language model adaptation approaches for a cross-genre adaptation task to improve Mandarin ASR system performance on a recently introduced new genre, broadcast conversation (BC).
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Co-training Using Prosodic and Lexical Information for Sentence Segmentation
We investigate the application of the co-training learning algorithm on the sentence boundary classification problem by using lexical and prosodic information. Co-training is a semisupervised machine learning algorithm that uses multiple weak classifiers with a relatively small amount of labeled data and incrementally uses unlabeled data.
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The SRI/OGI 2006 Spoken Term Detection System
This paper describes the system developed jointly at SRI and OGI for participation in the 2006 NIST Spoken Term Detection (STD) evaluation.
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A Smoothing Kernel for Spatially Related Features and Its Application to Speaker Verification
Most commonly used kernels are invariant to permutations of the feature vector components. We will consider one such case, where the features are spatially related and show a way to modify the objective function of the support vector machine (SVM) optimization problem to account for this structure.