Results 21 to 30 of about 36,186 (330)
Graph-based extractive text summarization method for Hausa text.
PLoS ONE, 2023 Automatic text summarization is one of the most promising solutions to the ever-growing challenges of textual data as it produces a shorter version of the original document with fewer bytes, but the same information as the original document.
Abdulkadir Abubakar Bichi +4 more
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Automatic Summarization Model Combining BERT Word Embedding Representation and Topic Information Enhancement [PDF]
Jisuanji kexue, 2022 Automatic text summarization can help people to filter and identify information quickly,grasp the key content of news,and alleviate the problem of information overload.The mainstream abstractive summarization model is mainly based on the encoder-decoder ...
GUO Yu-xin, CHEN Xiu-hong
doaj +1 more source
SummEval: Re-evaluating Summarization Evaluation
Transactions of the Association for Computational Linguistics, 2021 The scarcity of comprehensive up-to-date studies on evaluation metrics for text summarization and the lack of consensus regarding evaluation protocols continue to inhibit progress.
Alexander R. Fabbri +5 more
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Automated Script Outline Generator using TextRank Algorithm [PDF]
ITM Web of Conferences, 2022 The process of creating a condensed type of document that retains significant information and thus the general meaning of the source text is known as text summarization.
Zope Urvi +3 more
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Deep Transformer Language Models for Arabic Text Summarization: A Comparison Study
Applied Sciences, 2022 Large text documents are sometimes challenging to understand and time-consuming to extract vital information from. These issues are addressed by automatic text summarizing techniques, which condense lengthy texts while preserving their key information ...
Hasna Chouikhi, Mohammed Alsuhaibani
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A Framework for Word Embedding Based Automatic Text Summarization and Evaluation
Information, 2020 Text summarization is a process of producing a concise version of text (summary) from one or more information sources. If the generated summary preserves meaning of the original text, it will help the users to make fast and effective decision.
Tulu Tilahun Hailu +2 more
doaj +1 more source
Natural Language Processing For Automatic text summarization [Datasets] - Survey
Wasit Journal of Computer and Mathematics Science, 2022 Natural language processing has developed significantly recently, which has progressed the text summarization task. It is no longer limited to reducing the text size or obtaining helpful information from a long document only.
Alaa Ahmed AL-Banna +1 more
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A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization
IEEE Access, 2021 Dealing with vast amounts of textual data requires the use of efficient systems. Automatic summarization systems are capable of addressing this issue.
Ayesha Ayub Syed +2 more
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, 2021 O texto é um dos utensílios mais importantes de transmissão de ideias entre os seres humanos. Pode ser de vários tipos e o seu conteúdo pode ser mais ou menos fácil de interpretar, conforme a quantidade de informação relevante sobre o assunto principal.
Chengqing Zong, Rui Xia, Jiajun Zhang
openaire +3 more sources
Experiences with and Reflections on Text Summarization Tools [PDF]
International Journal of Computational Intelligence Systems, 2009 Text summarization is a process of distilling the most important content from text documents. While human beings have proven to be extremely capable summarizers, computer based automatic abstracting and summarizing has proven to be extremely challenging ...
Shuha Liu
doaj +1 more source