Zobrazeno 1 - 10
of 6 923
pro vyhledávání: '"Part of speech"'
Autor:
Bakare Mustaphaa Adebayo, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah, Saravanan Nathan Lurudusamy
Publikováno v:
HighTech and Innovation Journal, Vol 5, Iss 2, Pp 272-281 (2024)
Despite the widespread use of Malay, under-resourced languages like Malay face challenges in Natural Language Processing (NLP), particularly in Part-of-Speech (POS) tagging. The scarcity of annotated corpora poses a primary obstacle to POS tagging in
Externí odkaz:
https://doaj.org/article/d3336f8b4f0044ecb631d7db6df88736
Autor:
Stoltz, Dustin S., author, Taylor, Marshall A., author
Publikováno v:
Mapping Texts : Computational Text Analysis for the Social Sciences, 2024, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780197756874.003.0008
Publikováno v:
Analytics, Vol 3, Iss 1, Pp 1-13 (2023)
With the development of the Internet, the issue of cyberbullying on social media has gained significant attention. Cyberbullying is often expressed in text. Methods of identifying such text via machine learning have been growing, most of which rely o
Externí odkaz:
https://doaj.org/article/6b97be0546ef44398242a05af1ab266d
Publikováno v:
Information, Vol 15, Iss 9, p 578 (2024)
Semantic ontologies have been widely utilized as crucial tools within natural language processing, underpinning applications such as knowledge extraction, question answering, machine translation, text comprehension, information retrieval, and text su
Externí odkaz:
https://doaj.org/article/9679569097324f95a4cee85ad093bcd9
Publikováno v:
PeerJ Computer Science, Vol 10, p e2026 (2024)
Morphological tagging provides essential insights into grammar, structure, and the mutual relationships of words within the sentence. Tagging text in a highly inflectional language presents a challenging task due to word ambiguity. This research aims
Externí odkaz:
https://doaj.org/article/fa264265cfc04681aeaa77b7f66d9faa
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-11 (2023)
Abstract Graph convolutional network (GCN) is an effective tool for feature clustering. However, in the text classification task, the traditional TextGCN (GCN for Text Classification) ignores the context word order of the text. In addition, TextGCN c
Externí odkaz:
https://doaj.org/article/9d0bae2435bb43b1a19e690a460e3625
Autor:
Burov, Stoyan
Publikováno v:
Български език / Bulgarian Language. 70:21-41
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1109466
Autor:
Di-Wen Kang, Shao-Qiang Ye, Sharifah Zarith Rahmah Syed Ahmad, Li-Ping Mo, Feng Qin, Pan Zhou
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 2(SI) (2024)
Data-driven models perform poorly on part-of-speech tagging problems with the square Hmong language, a low-resource corpus. This paper designs a weight evaluation function to reduce the influence of unknown words. It proposes an improved harmony sear
Externí odkaz:
https://doaj.org/article/47f0f1a61bc24aec8f9cc336a501ca79
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 1, Pp 101908- (2024)
Aspect sentiment triplet analysis (ASTE) is a nuanced task that entails the extraction of all triplets from a user comment, where each triplet consist of an aspect term, an opinion term, and the associated sentiment polarity of the aspect term. Recen
Externí odkaz:
https://doaj.org/article/7731bc2d352e4b5083f793ba0fcbbbe5