publication . Article . 2021

Persian Text Summarization using Sparse Coding with Neural Text Representation

Ramin Fatourechi; Saeedeh Momtazi;
Open Access Persian
  • Published: 01 Apr 2021 Journal: Iranian Journal of Information Processing & Management, volume 36, issue 3, pages 767-790 (issn: 2251-8223, eissn: 2251-8231, Copyright policy)
  • Publisher: Iranian Research Institute for Information and Technology
The progress of communications over internet media such as social media and messengers has led to the production of large amount of textual data. This kind of information contains a lot of valuable knowledge and can be used to improve the performance of other NLP[1] tasks. There are several ways to use such information, one of which is text summarization Summarizing textual information can extract the main content of text within a short time. In this paper, we propose an approach for extractive summarization on Persian texts by using sentences embedding and a sparse coding framework. Most previous works focuses on text’s sentences individually which may not cons...
ACM Computing Classification System: ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
free text keywords: text summarization, natural language processing, sentence embedding, sparse coding, Bibliography. Library science. Information resources, Z
Digital Humanities and Cultural Heritage
Any information missing or wrong?Report an Issue