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Conceptual Persian text summarizer : a new model in continuous vector space
Joint Authors
Khadimi, Muhammad Ibrahim
Fakhredanesh, Muhammad
Husayni, Sayyid Mujtaba
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 4 (31 Jul. 2020), pp.529-538, 10 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-07-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Traditional methods of summarization are not cost-effective and possible today.
Extractive summarization is a process that helps to extract the most important sentences from a text automatically, and generates a short informative summary.
In this work, we propose a novel unsupervised method to summarize Persian texts.
The proposed method adopt a hybrid approach that clusters the concepts of the text using deep learning and traditional statistical methods.
First we produce a word embedding based on Hamshahri2 corpus and a dictionary of word frequencies.
Then the proposed algorithm extracts the keywords of the document, clusters its concepts, and finally ranks the sentences to produce the summary.
We evaluated the proposed method on Pasokh single-document corpus using the ROUGE evaluation measure.
Without using any hand-crafted features, our proposed method achieves better results than the state-of-the-art related work results.
We compared our unsupervised method with the best supervised Persian methods and we achieved an overall improvement of ROUGE-2 recall score of 7.5%.
American Psychological Association (APA)
Khadimi, Muhammad Ibrahim& Fakhredanesh, Muhammad& Husayni, Sayyid Mujtaba. 2020. Conceptual Persian text summarizer : a new model in continuous vector space. The International Arab Journal of Information Technology،Vol. 17, no. 4, pp.529-538.
https://search.emarefa.net/detail/BIM-1430889
Modern Language Association (MLA)
Khadimi, Muhammad Ibrahim…[et al.]. Conceptual Persian text summarizer : a new model in continuous vector space. The International Arab Journal of Information Technology Vol. 17, no. 4 (Jul. 2020), pp.529-538.
https://search.emarefa.net/detail/BIM-1430889
American Medical Association (AMA)
Khadimi, Muhammad Ibrahim& Fakhredanesh, Muhammad& Husayni, Sayyid Mujtaba. Conceptual Persian text summarizer : a new model in continuous vector space. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 4, pp.529-538.
https://search.emarefa.net/detail/BIM-1430889
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 536-538
Record ID
BIM-1430889