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137 lines
2.1 KiB
Plaintext
Executable File
137 lines
2.1 KiB
Plaintext
Executable File
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Introduction
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============
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In my work on context-sensitive learning, I used the "Deterding Vowel
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Recognition Data", but I found it necessary to reformulate the data.
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Implicit in the original data is contextual information on the
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speaker's gender and identity. For my work, it was necessary to make
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this information explicit. The file "vowel-context.data" adds the
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speaker's sex and identity as new features. The format of the data file
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is described below.
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Peter Turney
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peter@ai.iit.nrc.ca
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References
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==========
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P. Turney. "Robust Classification With Context-Sensitive Features."
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Proceedings of the Sixth International Conference on Industrial
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and Engineering Applications of Artificial Intelligence and Expert
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Systems (IEA/AIE-93): 268-276. 1993.
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URL: ftp://ai.iit.nrc.ca/pub/ksl-papers/NRC-35074.ps.Z
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P. Turney. "Exploiting Context When Learning to Classify."
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Proceedings of the European Conference on Machine Learning
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(ECML-93): 402-407. 1993.
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URL: ftp://ai.iit.nrc.ca/pub/ksl-papers/NRC-35058.ps.Z
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File Structure
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==============
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Column Description
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-------------------------------
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0 Train or Test
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1 Speaker Number
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2 Sex
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3 Feature 0
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4 Feature 1
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5 Feature 2
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6 Feature 3
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7 Feature 4
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8 Feature 5
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9 Feature 6
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10 Feature 7
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11 Feature 8
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12 Feature 9
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13 Class
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Numerical Codes
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===============
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Speaker Code Number
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---------------------------
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Andrew 0
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Bill 1
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David 2
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Mark 3
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Jo 4
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Kate 5
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Penny 6
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Rose 7
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Mike 8
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Nick 9
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Rich 10
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Tim 11
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Sarah 12
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Sue 13
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Wendy 14
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Set Number
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---------------------------
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Train 0
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Test 1
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Sex Number
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---------------------------
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Male 0
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Female 1
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Class Number
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---------------------------
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hid 0
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hId 1
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hEd 2
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hAd 3
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hYd 4
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had 5
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hOd 6
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hod 7
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hUd 8
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hud 9
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hed 10
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Speaker Code Number Sex Train/Test
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---------------------------------------------------------------
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Andrew 0 0 0
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Bill 1 0 0
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David 2 0 0
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Mark 3 0 0
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Jo 4 1 0
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Kate 5 1 0
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Penny 6 1 0
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Rose 7 1 0
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Mike 8 0 1
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Nick 9 0 1
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Rich 10 0 1
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Tim 11 0 1
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Sarah 12 1 1
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Sue 13 1 1
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Wendy 14 1 1
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