Results 41 to 50 of about 36,186 (330)
News Text Summarization Based on Multi-Feature and Fuzzy Logic
IEEE Access, 2020 In the last 70 years, the automatic text summarization work has become more and more important because the amount of data on the Internet is increasing so fast, and automatic text summarization work can extract useful information and knowledge what user ...
Yan Du, Hua Huo
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Automatic text summarization based on extractive-abstractive method
Радіоелектронні і комп'ютерні системи, 2023 The choice of this study has a significant impact on daily life. In various fields such as journalism, academia, business, and more, large amounts of text need to be processed quickly and efficiently.
Md. Ahsan Habib +4 more
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A literature review of abstractive summarization methods
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2019 The paper contains a literature review for automatic abstractive text summarization. The classification of abstractive text summarization methods was considered.
D. V. Shypik, Petro I. Bidyuk
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Automatic Text Summarization of Biomedical Text Data: A Systematic Review
Information, 2022 In recent years, the evolution of technology has led to an increase in text data obtained from many sources. In the biomedical domain, text information has also evidenced this accelerated growth, and automatic text summarization systems play an essential
Andrea Chaves +2 more
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A Comprehensive Review of Arabic Text Summarization
IEEE Access, 2022 The explosion of online and offline data has changed how we gather, evaluate, and understand data. It is frequently difficult and time-consuming to comprehend large text documents and extract crucial information from them.
Asmaa Elsaid +3 more
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, 2008 {"references": ["Hobson, S., Dorr, B., Monz, C., & Schwartz, R. (2007). Task-based\nevaluation of text summarization using Relevance Prediction\nInformation Processing & Management, 43(6), 1482-1499.", "Sj\u00f6bergh, J. (2007). Older versions of the ROUGEeval summarization\nevaluation system were easier to fool.
Fattah, Mohamed Abdel, Fuji Ren
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A Framework for Generating Extractive Summary from Multiple Malayalam Documents
Information, 2021 Automatic extractive text summarization retrieves a subset of data that represents most notable sentences in the entire document. In the era of digital explosion, which is mostly unstructured textual data, there is a demand for users to understand the ...
K. Manju +2 more
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Automatic text summarization in TIPSTER [PDF]
Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -, 1996 Automatic Text Summarization was added as a major research thrust of the TIPSTER program during TIPSTER Phase III, 1996-1998. It is a natural extension of the previously supported research efforts in Information Extraction (IE) and Information Retrieval (IR). There is considerable interest in automatically producing summaries due, in large part, to the
Thérèse Firmin, Inderjeet Mani
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Video summarization by group scoring [PDF]
, 2014 In this paper a new model for user-centered video summarization is presented. Involvement of more than one expert in generating the final video summary should be regarded as the main use case for this algorithm.
Adesnik, Hillel +9 more
core +2 more sources
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
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