Shakespeare and authorship attribution methodologies

Autor: Craig, Hugh

Preprint of chapter in book:Lukas Erne, ed., The Arden Research Handbook of Shakespeare and Textual Studies, London, Bloomsbury, 2021, 225-243.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b761820d9a15b4b1f987a0bfd7b4cbd9

Knowledge and Rule-Based Diacritic Restoration in Serbian

Autor: Cvetana Krstev, Ranka Stanković, Duško Vitas

Publikováno v: Proceedings of the Third International Conference Computational Linguistics in Bulgaria (CLIB 2018), May 27-29, 2018, Sofia, Bulgaria

M30 M33 In this paper we present a procedure for the restoration of diacritics in Serbian texts written using the degraded Latin alphabet. The procedure relies on the comprehensive lexical resources for Serbian: the morphological electronic dictionar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10287::9d4df6fc4a6ac709b76f0e3011ea54b9
http://dr.rgf.bg.ac.rs/s/repo/item/2012

Bidirectional Extraction of Phrases for Expanding Queries in Academic Paper Retrieval

Autor: Tomonari Masada, Yuzana Win

Publikováno v: International Journal of Advanced Research in Artificial Intelligence. 5

This paper proposes a new method for query expansion based on bidirectional extraction of phrases as word n-grams from research paper titles. The proposed method aims to extract information relevant to users’ needs and interests and thus to provide

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f90ff2e9ca19451dce5aaad034659c5
https://doi.org/10.14569/ijarai.2016.050105

Detection of opinion spam with character n-grams

Autor: Manuel Montes-y-Gómez, Rafael Guzmán Cabrera, Paolo Rosso, Donato Hernández Fusilier

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Computational Linguistics and Intelligent Text Processing ISBN: 9783319181165
CICLing (2)

In this paper we consider the detection of opinion spam as a stylistic classi cation task because, given a particular domain, the deceptive and truthful opinions are similar in content but di ffer in the way opinions are written (style). Particularly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6f7fd82ab9120ef9fef966acc36a751
http://hdl.handle.net/10251/64360

Textual features for corpus visualization using correspondence analysis

Autor: Sasa Petrovic, Blaž Zupan, Bojana Dalbelo Bašić, Jean-Hugues Chauchat, Annie Morin

Publikováno v: Intelligent Data Analysis
Intelligent Data Analysis, 2009, 13 (5), pp.795-813. ⟨10.3233/IDA-2009-0393⟩
Intelligent Data Analysis, IOS Press, 2009, 13 (5), pp.795-813. ⟨10.3233/IDA-2009-0393⟩

International audience; Explorative data analysis in text mining essentially relies on effective visualization techniques which can expose hidden relationships among documents and reveal correspondence between documents and their features. In text mi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b25162168ef6a2572cf6104cbd245248
https://inria.hal.science/hal-00843751