| Authors: | Sidorov G., Velasquez F., Stamatatos E., Gelbukh A., Chanona-Hernández L. |
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| Title: | Syntactic Dependency-Based N-grams: More Evidence of Usefulness in Classification |
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| Conference: | 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013) |
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| Ed: | No |
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| Eds: | No |
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| Pages: | 13-24 |
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| To appear: | No |
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| Year: | 2013 |
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| Pubisher: | Springer LNCS |
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| Abstract: | The paper introduces and discusses a concept of syntactic n-grams (sn-grams) that can be applied instead of traditional n-grams in many NLP tasks. Sn-grams are constructed by following paths in syntactic trees, so sngrams allow bringing syntactic knowledge into machine learning methods. Still, previous parsing is necessary for their construction. We applied sn-grams in the
task of authorship attribution for corpora of three and seven authors with very promising results. |
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