Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Single-Document Summarization"'
Autor:
Muhammad Humayoun, Naheed Akhtar
Publikováno v:
Intelligent Systems with Applications, Vol 16, Iss , Pp 200129- (2022)
Text summarization is the process of shortening the text so that it conveys the key points. Several text summarization methods and benchmark corpora are available for languages like English. A significant hurdle in developing and evaluating existing
Externí odkaz:
https://doaj.org/article/680d3f5e20d3403593efd31098f82dca
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 6, Pp 677-692 (2021)
The exponential growth of online textual data triggered the crucial need for an effective and powerful tool that automatically provides the desired content in a summarized form while preserving core information. In this paper, we propose an automatic
Externí odkaz:
https://doaj.org/article/5ba8a417c74748439c24ca54c0322fba
Autor:
N. Nazari, M. A. Mahdavi
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 7, Iss 1, Pp 121-135 (2019)
Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data,
Externí odkaz:
https://doaj.org/article/1b59bcbb259843a3a974b61f55eca568
Autor:
Afsharizadeh, Mahsa, Ebrahimpour-Komleh, Hossein, Bagheri, Ayoub, Chrupala, Grzegorz, Leerstoel Oberski, Methodology and statistics for the behavioural and social sciences
Publikováno v:
Journal of Information Systems and Telecommunication, 10(37), 68-79. Iranian Academic Center for Education, Culture and Research
Journal of Information Systems and Telecommunication, 10(37), 68. Iranian Academic Center for Education, Culture and Research
Journal of Information Systems and Telecommunication, 10(37), 68. Iranian Academic Center for Education, Culture and Research
Before the advent of the World Wide Web, lack of information was a problem. But with the advent of the web today, we are faced with an explosive amount of information in every area of search. This extra information is troublesome and prevents a quick
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::468b65c582edfce8bd214db735664ca3
https://research.tilburguniversity.edu/en/publications/db47beed-bab4-46ef-a5c9-5cf1614b33aa
https://research.tilburguniversity.edu/en/publications/db47beed-bab4-46ef-a5c9-5cf1614b33aa
Publikováno v:
Iranian Journal of Information Processing & Management, Vol 33, Iss 4, Pp 1809-1828 (2018)
Considering the vast amount of existing written information and the shortage of time, optimal summarization of books, articles, news reports, etc. on the Web is a major concern of researchers. In this paper, we propose a new approach for Persian sing
Externí odkaz:
https://doaj.org/article/4f4e6ec7aaf6465eba9947d9c6370f9f
Autor:
Muhammad Mohsin, Shazad Latif, Muhammad Haneef, Usman Tariq, Muhammad Attique Khan, Sefedine Kadry, Hwan-Seung Yong, Jung-In Choi
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10511 (2021)
Automatic Text Summarization (ATS) is gaining attention because a large volume of data is being generated at an exponential rate. Due to easy internet availability globally, a large amount of data is being generated from social networking websites, n
Externí odkaz:
https://doaj.org/article/596e1551183749ed824cc5297043dd9f
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 6, Pp 677-692 (2021)
The exponential growth of online textual data triggered the crucial need for an effective and powerful tool that automatically provides the desired content in a summarized form while preserving core information. In this paper, we propose an automatic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5394c70a0a0ad424b75bd269ec1b4c0
http://www.sciencedirect.com/science/article/pii/S1319157818310498
http://www.sciencedirect.com/science/article/pii/S1319157818310498
Autor:
Sivaparthipan Cb, Rubén González Crespo, Ching-Hsien Hsu, Seifedine Kadry, Oscar Sanjuan, BalaAnand Muthu, Priyan Malarvizhi Kumar
Publikováno v:
Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
instname
instname
There is an exponential growth of text data over the internet, and it is expected to gain significant growth and attention in the coming years. Extracting meaningful insights from text data is crucially important as it offers value-added solutions to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a0b32a0bbb71cc69a09c15154518ed3
https://doi.org/10.1145/3392048
https://doi.org/10.1145/3392048
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.