Zobrazeno 1 - 10
of 497
pro vyhledávání: '"Automatic text summarization"'
Publikováno v:
IEEE Access, Vol 12, Pp 118773-118784 (2024)
Arabic language processing presents significant challenges due to its complex linguistic patterns and shortage of resources. This study describes MSG-ATS, a new technique to abstractive text summarization in Arabic that aims to overcome these issues.
Externí odkaz:
https://doaj.org/article/4ec717752a294e6098ff6cd908db1e93
Autor:
Amreen Ahmad, Tanvir Ahmad, Sarfaraz Masood, Mohd. Khizir Siddiqui, Basma Abd El-Rahiem, Pawel Plawiak, Fahad Alblehai
Publikováno v:
IEEE Access, Vol 12, Pp 70464-70479 (2024)
Online information has increased tremendously in today’s age of the Internet. As a result, the need has arisen to extract relevant content from the plethora of available information. Researchers are widely using automatic text summarization techniq
Externí odkaz:
https://doaj.org/article/177b7e5071c44c5fbab63407741e2378
Autor:
Muhammad Hafizul H. Wahab, Nor Hafiza Ali, Nor Asilah Wati Abdul Hamid, Shamala K. Subramaniam, Rohaya Latip, Mohamed Othman
Publikováno v:
IEEE Access, Vol 12, Pp 4892-4909 (2024)
The significance of automatic text summarization (ATS) lies in its task of distilling textual information into a condensed yet meaningful structure that preserves the core message of the original content. This summary generated by ATS plays a crucial
Externí odkaz:
https://doaj.org/article/b2f0ffa996b8454d921fefc24d5abdef
Publikováno v:
Моделирование и анализ информационных систем, Vol 30, Iss 4, Pp 418-428 (2023)
In this work, we applied the multilingual text-to-text transformer (mT5) to the task of keyphrase generation for Russian scientific texts using the Keyphrases CS&Math Russian corpus. The automatic selection of keyphrases is a relevant task of natural
Externí odkaz:
https://doaj.org/article/730b4b81c6fe4569a75c96c0d809579d
Autor:
Abdullah Al Foysal, Ronald Böck
Publikováno v:
AI, Vol 4, Iss 4, Pp 970-995 (2023)
Nowadays, individuals can be overwhelmed by a huge number of documents being present in daily life. Capturing the necessary details is often a challenge. Therefore, it is rather important to summarize documents to obtain the main information quickly.
Externí odkaz:
https://doaj.org/article/3d282f18ca83427ab93f715732ae2eea
Publikováno v:
Ilkom Jurnal Ilmiah, Vol 15, Iss 1, Pp 124-131 (2023)
Automatic Text Summarization (ATS) is one of the utilizations of technological sophistication in terms of text processing assisting humans in producing a summary or key points of a document in large quantities. We use Indonesian language as objects b
Externí odkaz:
https://doaj.org/article/b3d6c75023e348c3bebea46414d7cb0a
Publikováno v:
Alexandria Engineering Journal, Vol 68, Iss , Pp 1-13 (2023)
Text summarization is the process of reducing text size while preserving its key points. Thanks to this process, the reading time of the text is also reduced which contributes to reaching the desired information quickly, especially in today's world w
Externí odkaz:
https://doaj.org/article/112e3d8cd355427f9ae906a668e6dea2
Autor:
H. Abo-Bakr, S. A. Mohamed
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 4629-4644 (2023)
Abstract Due to the exponential overflow of textual information in various fields of knowledge and on the internet, it is very challenging to extract important information or to generate a summary from some multi-document collection in a specific fie
Externí odkaz:
https://doaj.org/article/791f488148d543d484c4c19b3e8f8641
Publikováno v:
IEEE Access, Vol 11, Pp 109819-109840 (2023)
The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends to automatically create summaries of enormous amounts of text so that readers can save time and effort. ATS is a rapidly growing field that aims to save readers
Externí odkaz:
https://doaj.org/article/c34fd8c0111740e08a051543171ee51d
Publikováno v:
International Journal of Intelligent Networks, Vol 4, Iss , Pp 53-61 (2023)
Data generated from social networking sites, blogs, digital magazines, and news websites is the largest human-generated data. Summarization is the process of extracting the crux of a document which when done manually can be tedious and deluging. Auto
Externí odkaz:
https://doaj.org/article/174fa48946514b7686f0314a6cee1d1d