Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Patrick Juola"'
Publikováno v:
Digital Studies, Vol 13, Iss 3 (2023)
MapLemon is a corpus in its second iteration that was created to obtain a baseline corpus for linguistic variation among English-speaking North Americans. The MapLemon corpus currently houses upwards of 21,000 words across 185 participants, 10+ lingu
Externí odkaz:
https://doaj.org/article/c14fbe73e2f44683b949c7ba524ec15d
Publikováno v:
IEEE Access, Vol 8, Pp 37736-37745 (2020)
The vast amount of unstructured data spread on a daily basis rises the need for developing effective information retrieval and extraction methods. Named Entity Recognition is a challenging classification task for structuring data into pre-defined lab
Externí odkaz:
https://doaj.org/article/7e9258e90bbc481fbd8c1f59f91e90ef
Autor:
Patrick Juola
Publikováno v:
Journal of Universal Computer Science, Vol 26, Iss 1, Pp 156-170 (2020)
The computational analysis of documents to learn about their authorship (also known as authorship attribution and/or authorship profiling) is an increasingly important area of research and application of technology. This paper discusses the technolog
Externí odkaz:
https://doaj.org/article/8dab2beed9cf4d59a3c57a7abfdd0110
Publikováno v:
IEEE Access, Vol 7, Pp 177122-177136 (2019)
The interchangeably connected Web technologies and the advancements that accompany the semantic web content's leaps, have raised many challenges in the results' retrieval process especially for the Arabic Language. This research targets an important,
Externí odkaz:
https://doaj.org/article/20c96fce10794d1587ba635721d2d96e
Publikováno v:
International Journal of Digital Humanities.
The present study considers the role of adjectives and adverbs in stylometric analysis and authorship attribution. Adjectives and adverbs allow both for variations in placement and order (adverbs) and variations in type (adjectives). This preliminary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cc89abecea315890d14312d8710364b
https://doi.org/10.1007/s42803-023-00065-y
https://doi.org/10.1007/s42803-023-00065-y
Publikováno v:
Proceedings of the Twentieth Annual Conference of the Cognitive Science Society ISBN: 9781315782416
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba02928db3f10ba487283adfa407c8f6
https://doi.org/10.4324/9781315782416-105
https://doi.org/10.4324/9781315782416-105
Publikováno v:
IEEE Access, Vol 8, Pp 37736-37745 (2020)
The vast amount of unstructured data spread on a daily basis rises the need for developing effective information retrieval and extraction methods. Named Entity Recognition is a challenging classification task for structuring data into pre-defined lab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::423bf492ee81dbe4749cdb72d634f15a
https://ieeexplore.ieee.org/document/8993806/
https://ieeexplore.ieee.org/document/8993806/
Autor:
Patrick Juola
Publikováno v:
Encyclopedia of Big Data ISBN: 9783319320014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b03264a3c043018f5fc3b8076cdaa141
https://doi.org/10.1007/978-3-319-32010-6_221
https://doi.org/10.1007/978-3-319-32010-6_221