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String Kernels for Native Language Identification: Insights from Behind the Curtains
Radu Tudor Ionescu
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Marius Popescu
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Aoife Cahill
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Paper Details:
Month: September
Year: 2016
Venue:
CL |
Citations
URL
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
Radu Tudor Ionescu
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Andrei M. Butnaru
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Automated essay scoring with string kernels and word embeddings
Mădălina Cozma
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Andrei Butnaru
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Radu Tudor Ionescu
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UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels
Radu Tudor Ionescu
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Marius Popescu
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Learning to Identify Arabic and German Dialects using Multiple Kernels
Radu Tudor Ionescu
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Andrei Butnaru
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Can string kernels pass the test of time in Native Language Identification?
Radu Tudor Ionescu
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Marius Popescu
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Exploring Optimal Voting in Native Language Identification
Cyril Goutte
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Serge Léger
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Cross-corpus Native Language Identification via Statistical Embedding
Francisco Rangel
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Paolo Rosso
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Julian Brooke
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Alexandra Uitdenbogerd
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UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row
Andrei Butnaru
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Radu Tudor Ionescu
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http://string-kernels.herokuapp.com
http://www.intellaren.com/articles/en/qss
https://catalog.ldc.upenn.edu/LDC2014T06
Field Of Study
Linguistic Trends
Morphology
Phonology
Task
Language Identification
Text Categorization
Authorship Attribution
Native Language Identification
Approach
Kernel Method
Language
Chinese
English
Hindi
Malay
Urdu
Japanese
Korean
Spanish
French
Arabic
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