Results 41 to 50 of about 3,357,090 (344)
GAN and Chinese WordNet Based Text Summarization Technology [PDF]
Jisuanji kexue, 2022 Since the introduction of neural networks,text summarization techniques continue to attract the attention of resear-chers.Similarly,generative adversarial networks(GANs)can be used for text summarization because they can generate text features or learn ...
LIU Xiao-ying, WANG Huai, WU Jisiguleng
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An exploratory study of automatic text summarization in biomedical and healthcare domain
Healthcare Analytics, 2022 In the last two decades, the uses of automatic text summarization have been realized in a wide range of applications in various fields cutting across a number of verticals. Amongst these, one of the most inquired is the domain of healthcare and medicine.
Mukesh Kumar Rohil, Varun Magotra
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Sequence Level Contrastive Learning for Text Summarization [PDF]
AAAI Conference on Artificial Intelligence, 2021 Contrastive learning models have achieved great success in unsupervised visual representation learning, which maximize the similarities between feature representations of different views of the same image, while minimize the similarities between feature ...
Shusheng Xu +3 more
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HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information [PDF]
Findings, 2022 Transformer-based language models usually treat texts as linear sequences. However, most texts also have an inherent hierarchical structure, i.e., parts of a text can be identified using their position in this hierarchy.
Qianqian Ruan +2 more
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The Utilization of Text Summary Techniques to Improve Students’ Reading Comprehension Skills
Journal of Integrated Elementary Education, 2022 This study aims to improve students’ reading comprehension skills using the text summarization technique in the 5th grade of SDN Kasunyatan. The subjects of this classroom action research (CAR) involved forty students.
Avivah Avivah +2 more
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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
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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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Entity-level Factual Consistency of Abstractive Text Summarization [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2021 A key challenge for abstractive summarization is ensuring factual consistency of the generated summary with respect to the original document. For example, state-of-the-art models trained on existing datasets exhibit entity hallucination, generating names
Feng Nan +7 more
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A survey on Automatic Text Summarization [PDF]
Journal of Artificial Intelligence and Data Mining, 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.
N. Nazari, M. A. Mahdavi
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Evaluating the Factual Consistency of Abstractive Text Summarization [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Currently used metrics for assessing summarization algorithms do not account for whether summaries are factually consistent with source documents. We propose a weakly-supervised, model-based approach for verifying factual consistency and identifying ...
Wojciech Kryscinski +3 more
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