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Event Structure In Vision And Language
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In: Publicly Accessible Penn Dissertations (2019)
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The Dynamic Role of Subphonemic Cues in Speech Perception: Investigating Coarticulatory Processing Across Sound Classes
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Receptive Vocabulary Knowledge in Low-Functioning Autism as Assessed by Eye Movements, Pupillary Dilation, and Event-Related Potentials
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In: DTIC (2011)
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Improving Information Extraction and Translation Using Component Interactions
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In: DTIC (2008)
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Entropy Based Classifier Combination for Sentence Segmentation
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In: DTIC (2007)
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Abstract:
We describe recent extensions to our previous work, where we explored the use of individual classifiers, namely, boosting and maximum entropy models for sentence segmentation. In this paper we extend the set of classification methods with support vector machine (SVM). We propose a new dynamic entropy-based classifier combination approach to combine these classifiers, and compare it with the traditional classifier combination techniques, namely, voting, linear regression and logistic regression. Furthermore, we also investigate the combination of hidden event language models with the output of the proposed classifier combination, and the output of individual classifiers. Experimental studies conducted on the Mandarin TDT4 broadcast news database shows that the SVM classifier as an individual classifier improves over our previous best system. However, the proposed entropy-based classifier combination approach shows the best improvement in F-Measure of 1% absolute, and the voting approach shows the best reduction in NIST error rate of 2.7% absolute when compared to the previous best system.
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Keyword:
*SPEECH RECOGNITION; *WORDS(LANGUAGE); ASR(AUTOMATIC SPEECH RECOGNITION); CLASSIFICATION; CLASSIFIER COMBINATION; ENTROPY; HIDDEN EVENT LANGUAGE MODEL; LEXICAL AND PROSODIC FEATURES; LINEAR REGRESSION ANALYSIS; Linguistics; SEGMENTED; SVM(SUPPORT VECTOR MACHINE); VECTOR ANALYSIS; Voice Communications
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URL: http://www.dtic.mil/docs/citations/ADA463040 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA463040
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The ICSI+ Multilingual Sentence Segmentation System
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In: DTIC (2006)
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Not every pseudoword disrupts word recognition: an ERP study
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Discriminative Slot Detection Using Kernel Methods
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In: DTIC (2004)
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