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1
Distinctive feature fusion for recognition of Australian English consonants
In: http://dl.dropboxusercontent.com/u/27743223/200809-Interspeech2008-DistinctiveFeatureFusion.pdf (2008)
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2
D.M.W.: Verb similarity on the taxonomy of WordNet
In: http://david.wardpowers.info/Research/AI/papers/200601-GWC-VerbSimWN.pdf (2006)
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3
A Basis for Compact Distributional Extraction Abstract
In: http://members.dodo.com.au/~powers/Research/AI/papers/199208-THINK-CDE.pdf (2003)
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4
Audio-Visual Speech Recognition using Red Exclusion and Neural Networks
In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV4Lewis.pdf (2003)
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5
AudioVisual Speech Recognition using Red Exclusion and Neural Networks
In: http://ws.acs.org.au/jrpit/JRPIT35.1.41.pdf (2003)
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6
Audio-Visual Speech Recognition using Red Exclusion and Neural Networks
In: http://www.infoeng.flinders.edu.au/papers/20030001.pdf (2003)
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7
Lip Feature Extraction Using Red Exclusion
In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV2Lewis.pdf (2001)
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8
Lip Feature Extraction Using Red Exclusion
In: http://www.cs.flinders.edu.au/Research/AI/papers/200001-VIP-AVSR.pdf (2001)
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9
Learning and Application of Differential Grammars
In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199703-CoNLL-DG.ps.gz (1997)
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10
System design methodology
In: http://david.wardpowers.info/Research/AI/papers/200603-ACL%2BCoLing-WordSimWN.pdf (1995)
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11
A Multifaceted Investigation into Speech Reading
In: http://members.dodo.com.au/~powers/Research/AI/papers/200108-HIS-MISR.pdf
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12
An empirical evaluation
In: http://www.infoeng.flinders.edu.au/papers/19970003.pdf
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13
Comparative, Continuity and Computational Evidence in Evolutionary Theory: Predictive Evidence versus Productive Evidence
In: http://dl.dropboxusercontent.com/u/27743223/200604-BBS-CCCEvidencePredictiveProductive.pdf
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14
Word Sense Disambiguation using lexical cohesion in the context
In: http://acl.ldc.upenn.edu/P/P06/P06-2119.pdf
Abstract: This paper designs a novel lexical hub to disambiguate word sense, using both syntagmatic and paradigmatic relations of words. It only employs the semantic network of WordNet to calculate word similarity, and the Edinburgh Association Thesaurus (EAT) to transform contextual space for computing syntagmatic and other domain relations with the target word. Without any back-off policy the result on the English lexical sample of SENSEVAL-2 1 shows that lexical cohesion based on edge-counting techniques is a good way of unsupervisedly disambiguating senses. 1
URL: http://acl.ldc.upenn.edu/P/P06/P06-2119.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.6814
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15
An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
In: http://dl.dropboxusercontent.com/u/27743223/200713-ALTW-DistributionalSimilarity.pdf
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16
Evaluation Evaluation
In: http://dl.dropboxusercontent.com/u/27743223/200807-ECAI-Evaluation_Evaluation-Short.pdf
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17
Biologically-Motivated Machine Learning of Natural Language and Ontology A Computational Cognitive Model
In: http://david.wardpowers.info/Research/AI/papers/200502-MMUI-BioMotMLNLO.pdf
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18
Minors as Miners Modelling and Evaluating Ontological and Linguistic Learning
In: http://crpit.com/confpapers/CRPITV87Powers.pdf
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19
An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
In: http://www.alta.asn.au/events/altw2007/cdrom/pdf/ALTA2007_17.pdf
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20
Smoothing, Normalization, Correction and Reduction
In: http://dl.dropboxusercontent.com/u/27743223/200504-drft-Normalization+LSI+SVD+Katz+TFIDF.pdf
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