Document embeddings learned on various types of n-grams for cross-topic authorship attribution

Computing

Volumn 100, Issue 7, 2018, Pages 741-756

  Gómez Adorno, Helena ^a   Posadas Durán, Juan Pablo ^a   Sidorov, Grigori ^a   Pinto, David ^b  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^b BENEMÉRITA UNIVERSIDAD AUTÓNOMA DE PUEBLA   (Mexico)

Author keywords

Authorship attribution; Doc2vec; Document embeddings; n Grams; Neural networks

Indexed keywords

COMPUTER PROGRAMMING; NEURAL NETWORKS;

AUTHORSHIP ATTRIBUTION; DOC2VEC; DOCUMENT VECTORS; EFFECTIVE APPROACHES; EMBEDDINGS; FEATURE VECTORS; N-GRAMS; WRITING STYLE;

COMPUTER SCIENCE;

EID: 85040922492     PISSN: 0010485X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00607-018-0587-8     Document Type: Article

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