| Título |
Syntactic dependency-based n-grams: More evidence of usefulness in classification |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science; 14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013 |
| Resumen |
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 sn-grams 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. |
| Observaciones |
(including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 96203 |
| Lugar |
Samos |
| País |
Grecia |
| No. de páginas |
13-24 |
| Vol. / Cap. |
Vol. 7816, Issue 1 |
| Inicio |
2013-03-24 |
| Fin |
2013-03-30 |
| ISBN/ISSN |
978-364237246-9 |
