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Distinctive feature fusion for recognition of Australian English consonants
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In: http://dl.dropboxusercontent.com/u/27743223/200809-Interspeech2008-DistinctiveFeatureFusion.pdf (2008)
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D.M.W.: Verb similarity on the taxonomy of WordNet
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In: http://david.wardpowers.info/Research/AI/papers/200601-GWC-VerbSimWN.pdf (2006)
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A Basis for Compact Distributional Extraction Abstract
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In: http://members.dodo.com.au/~powers/Research/AI/papers/199208-THINK-CDE.pdf (2003)
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Audio-Visual Speech Recognition using Red Exclusion and Neural Networks
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In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV4Lewis.pdf (2003)
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AudioVisual Speech Recognition using Red Exclusion and Neural Networks
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In: http://ws.acs.org.au/jrpit/JRPIT35.1.41.pdf (2003)
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Audio-Visual Speech Recognition using Red Exclusion and Neural Networks
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In: http://www.infoeng.flinders.edu.au/papers/20030001.pdf (2003)
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Lip Feature Extraction Using Red Exclusion
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In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV2Lewis.pdf (2001)
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Lip Feature Extraction Using Red Exclusion
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In: http://www.cs.flinders.edu.au/Research/AI/papers/200001-VIP-AVSR.pdf (2001)
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Learning and Application of Differential Grammars
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In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199703-CoNLL-DG.ps.gz (1997)
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System design methodology
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In: http://david.wardpowers.info/Research/AI/papers/200603-ACL%2BCoLing-WordSimWN.pdf (1995)
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A Multifaceted Investigation into Speech Reading
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In: http://members.dodo.com.au/~powers/Research/AI/papers/200108-HIS-MISR.pdf
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An empirical evaluation
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In: http://www.infoeng.flinders.edu.au/papers/19970003.pdf
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Comparative, Continuity and Computational Evidence in Evolutionary Theory: Predictive Evidence versus Productive Evidence
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In: http://dl.dropboxusercontent.com/u/27743223/200604-BBS-CCCEvidencePredictiveProductive.pdf
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Word Sense Disambiguation using lexical cohesion in the context
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In: http://acl.ldc.upenn.edu/P/P06/P06-2119.pdf
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An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
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In: http://dl.dropboxusercontent.com/u/27743223/200713-ALTW-DistributionalSimilarity.pdf
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Evaluation Evaluation
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In: http://dl.dropboxusercontent.com/u/27743223/200807-ECAI-Evaluation_Evaluation-Short.pdf
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Abstract:
Abstract. Over the last decade there has been increasing concern about the biases embodied in traditional evaluation methods for Natural Language Processing/Learning, particularly methods borrowed from Information Retrieval. Without knowledge of the Bias and Prevalence of the contingency being tested, or equivalently the expectation due to chance, the simple conditional probabilities Recall, Precision and Accuracy are not meaningful as evaluation measures, either individually or in combinations such as F-factor. The existence of bias in NLP measures leads to the ‘improvement’ of systems by increasing their bias, such as the practice of improving tagging and parsing scores by using most common value (e.g. water is always a Noun) rather than the attempting to discover the correct one. In this paper, we will analyze both biased and unbiased measures theoretically, characterizing the precise relationship between all these measures. 1
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URL: http://dl.dropboxusercontent.com/u/27743223/200807-ECAI-Evaluation_Evaluation-Short.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.616.3350
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Biologically-Motivated Machine Learning of Natural Language and Ontology A Computational Cognitive Model
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In: http://david.wardpowers.info/Research/AI/papers/200502-MMUI-BioMotMLNLO.pdf
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Minors as Miners Modelling and Evaluating Ontological and Linguistic Learning
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In: http://crpit.com/confpapers/CRPITV87Powers.pdf
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An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
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In: http://www.alta.asn.au/events/altw2007/cdrom/pdf/ALTA2007_17.pdf
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