Syntactic dependency-based n-grams: More evidence of usefulness in classification

Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander Gelbukh, Liliana Chanona-Hernández

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

23 Citas (Scopus)

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.

Idioma originalInglés
Título de la publicación alojadaComputational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings
Páginas13-24
Número de páginas12
EdiciónPART 1
DOI
EstadoPublicada - 2013
Evento14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013 - Samos, Grecia
Duración: 24 mar. 201330 mar. 2013

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 1
Volumen7816 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013
País/TerritorioGrecia
CiudadSamos
Período24/03/1330/03/13

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