Results 151 to 160 of about 1,050 (199)

Exploiting Data Distribution: A Multi-Ranking Approach. [PDF]

open access: yesEntropy (Basel)
Zielosko B, Jabloński K, Dmytrenko A.
europepmc   +1 more source

Unveiling ChatGPT text using writing style. [PDF]

open access: yesHeliyon
Berriche L, Larabi-Marie-Sainte S.
europepmc   +1 more source

The semantic structure of accuracy in eyewitness testimony. [PDF]

open access: yesFront Psychol
Gustafsson PU, Sikström S, Lindholm T.
europepmc   +1 more source

Computational Stylistics and Stylometry

open access: yes
Computational stylistics is a subfield of stylistics in literary studies, extending traditional methods through computational means. We reconstruct its history by focusing on the field of stylometry, which statistically analyzes linguistic patterns to provide authorship attribution and to study literary texts in a “distant reading” perspective.
Massimo Salgaro, Simone Rebora
exaly   +3 more sources

Forensic Assignment Stylometry [PDF]

open access: yes, 2023
This chapter discusses the stylometry of portfolios of assignments submitted by individual students from the perspective of evidence gathering in cases of suspected contract cheating.
Crockett, Robin; id_orcid
exaly   +3 more sources

Surveying Stylometry Techniques and Applications

open access: yesACM Computing Surveys, 2017
The analysis of authorial style, termed stylometry, assumes that style is quantifiably measurable for evaluation of distinctive qualities. Stylometry research has yielded several methods and tools over the past 200 years to handle a variety of challenging cases. This survey reviews several articles within five prominent subtasks: authorship attribution,
Tempestt J. Neal   +5 more
openaire   +2 more sources

Checkpoints on code stylometry

open access: yes, 2023
This release contains three trained models (checkpoints) related to the "Stylometry for Real-World Expert Coders: a Zero-shot Approach" paper, respectively: - MLAllVocaBSoftAtt referees to the soft attention model trained with infoNCE loss without B.P.E, with bounding.
Gabbrielli Maurizio   +2 more
core   +4 more sources

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