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Hits 1 – 20 of 20
1
Distinctive feature fusion for recognition of Australian English consonants
Trent W. Lewis
;
David M. W. Powers
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
Dongqiang Yang
;
David M. W. Powers
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
David M. W. Powers
;
German Ai
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
Trent W. Lewis
;
David M. W. Powers
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
Trent W. Lewis
;
David M. W. Powers
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
Trent W. Lewis
;
David M. W. Powers
In: http://www.infoeng.flinders.edu.au/papers/20030001.pdf (2003)
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7
Lip Feature Extraction Using Red Exclusion
Trent W. Lewis
;
David M. W. Powers
In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV2Lewis.pdf (2001)
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8
Lip Feature Extraction Using Red Exclusion
Trent W. Lewis
;
David M. W. Powers
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
David M. W. Powers
In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199703-CoNLL-DG.ps.gz (1997)
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10
System design methodology
Dongqiang Yang
;
David M. W. Powers
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
Trent W. Lewis
;
David M. W. Powers
In: http://members.dodo.com.au/~powers/Research/AI/papers/200108-HIS-MISR.pdf
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12
An empirical evaluation
David M. W. Powers
;
An Empirical Evaluation
In: http://www.infoeng.flinders.edu.au/papers/19970003.pdf
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13
Word Sense Disambiguation using lexical cohesion in the context
Dongqiang Yang
;
David M. W. Powers
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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14
An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
Dongqiang Yang
;
David M. W. Powers
In: http://dl.dropboxusercontent.com/u/27743223/200713-ALTW-DistributionalSimilarity.pdf
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15
An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
Dongqiang Yang
;
David M. W. Powers
In: http://www.alta.asn.au/events/altw2007/cdrom/pdf/ALTA2007_17.pdf
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16
Smoothing, Normalization, Correction and Reduction
David M. W. Powers
In: http://dl.dropboxusercontent.com/u/27743223/200504-drft-Normalization+LSI+SVD+Katz+TFIDF.pdf
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17
What Unsupervised Learning Tells Us About Language Models
David Powers Artificial
;
David M. W. Powers
In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199606-TASL-WULTAL.ps.gz
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18
Smoothing, Normalization, Correction and Reduction
David M. W. Powers
In: http://david.wardpowers.info/Research/AI/papers/200504-drft-Normalization%2BLSI%2BSVD%2BKatz%2BTFIDF.pdf
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19
ROBOT BABIES
David M. W. Powers
In: http://david.wardpowers.info/Research/AI/papers/200106-inv-RBE.pdf
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20
Robot babies: what can they teach us about language acquisition?
David M. W. Powers
In: http://david.wardpowers.info/Research/AI/papers/200004-inv-RBE.pdf
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