Zobrazeno 1 - 10
of 395
pro vyhledávání: '"word similarity"'
Publikováno v:
Frontiers in Language Sciences, Vol 3 (2024)
IntroductionSemantic relations are crucial in various cognitive processes, highlighting the need to understand concept interactions and how such relations are represented in the brain. Psycholinguistics research requires computationally grounded data
Externí odkaz:
https://doaj.org/article/445900cb3d644458bd02933183b30225
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 4, Pp 68-79 (2021)
Word embedding approaches increased the efficiency of natural language processing (NLP) tasks. Traditional word embeddings though robust for many NLP activities, do not handle polysemy of words. The tasks of semantic similarity between concepts need
Externí odkaz:
https://doaj.org/article/4dcbedd8b68541d4b4868ea6701bbf92
Publikováno v:
Journal of Economics, Business & Accountancy, Vol 23, Iss 3, Pp 329-339 (2021)
Due to the technology development, the digital payment is becoming more attractive to consumers. This type of payments provides an easy way for consumers to meet their needs. Pay later is currently one of the most attractive digital payments in Indon
Externí odkaz:
https://doaj.org/article/f10e82419c95492ba590101f55a85222
Autor:
Natsuki Kadowaki, Kazuaki Kishida
Publikováno v:
Journal of Information Science Theory and Practice, Vol 8, Iss 2, Pp 6-17 (2020)
Word similarity is often measured to enhance system performance in the information retrieval field and other related areas. This paper reports on an experimental comparison of values for word similarity measures that were computed based on 50 intenti
Externí odkaz:
https://doaj.org/article/6d8b2e869fe4454abcb0cbff4721f755
Publikováno v:
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, Vol 9, Iss 1, Pp 35-44 (2020)
Penentuan aspek implisit adalah salah satu hal penting dalam kalimat opini. Makalah ini mengajukan pendekatan dengan mengembangkan knowledge berbasis rule berupa relasi antara kata opini dengan kategori aspek, dengan melakukan penggabungan rule berda
Externí odkaz:
https://doaj.org/article/df98e103f6584c4cbdb96245e742f702
Akademický článek
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Autor:
Herry Sujaini
Publikováno v:
JEPIN (Jurnal Edukasi dan Penelitian Informatika), Vol 5, Iss 2, Pp 164-170 (2019)
We described the results of a study to determine the best features for algorithm EWSB (Extended Word Similarity Based). EWSB is a word clustering algorithm that can be used for all languages with a common feature. We provided four alternative feature
Externí odkaz:
https://doaj.org/article/3fbc07128b8b4299b66e88419daa00ff
Autor:
Atish Pawar, Vijay Mago
Publikováno v:
IEEE Access, Vol 7, Pp 16291-16308 (2019)
The semantic analysis field has a crucial role to play in the research related to text analytics. Calculating the semantic similarity between sentences is a long-standing problem in the area of natural language processing, and it differs significantl
Externí odkaz:
https://doaj.org/article/a3f7a8ed31b44092b65e5b7ec5685d0f
Publikováno v:
IEEE Access, Vol 7, Pp 142907-142915 (2019)
Distributional semantics in the form of word embeddings are an essential ingredient to many modern natural language processing systems. The quantification of semantic similarity between words can be used to evaluate the ability of a system to perform
Externí odkaz:
https://doaj.org/article/7f756123053e4f89b20baa7af6e5da71
Akademický článek
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