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Record Nr. |
UNISA996465707503316 |
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Titolo |
Knowledge-Based Intelligent Information and Engineering Systems [[electronic resource] ] : 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I / / edited by Vasile Palade |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
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ISBN |
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Edizione |
[1st ed. 2003.] |
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Descrizione fisica |
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1 online resource (CII, 1476 p.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 2773 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer communication systems |
Information storage and retrieval |
Application software |
User interfaces (Computer systems) |
Information technology |
Business—Data processing |
Artificial Intelligence |
Computer Communication Networks |
Information Storage and Retrieval |
Information Systems Applications (incl. Internet) |
User Interfaces and Human Computer Interaction |
IT in Business |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Keynote Lectures -- General Session Papers -- Invited Sessions Papers. |
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Sommario/riassunto |
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2.1 Text Summarization “Text summarization is the process of distilling the most important information from a source (or sources) to produce an abridged version for a particular user (or users) and task (or tasks)” [3]. Basic and classical articles in text summarization appear in “Advances in automatic text summarization” [3]. A literature survey on information extraction and text summarization is given by Zechner [7]. |
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In general, the process of automatic text summarization is divided into three stages: (1) analysis of the given text, (2) summarization of the text, (3) presentation of the summary in a suitable output form. Titles, abstracts and keywords are the most common summaries in Academic papers. Usually, the title, the abstract and the keywords are the first, second, and third parts of an Academic paper, respectively. The title usually describes the main issue discussed in the study and the abstract presents the reader a short description of the background, the study and its results. A keyword is either a single word (unigram), e.g.: ‘learning', or a collocation, which means a group of two or more words, representing an important concept, e.g.: ‘machine learning', ‘natural language processing'. Retrieving collocations from text was examined by Smadja [5] and automatic extraction of collocations was examined by Kita et al. [1]. |
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2. |
Record Nr. |
UNINA9910736024403321 |
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Titolo |
Advanced Intelligent Computing Technology and Applications : 19th International Conference, ICIC 2023, Zhengzhou, China, August 10–13, 2023, Proceedings, Part II / / edited by De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (827 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 14087 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Computational Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Evolutionary Computation and Learning -- Swarm Intelligence and Optimization -- Information Security -- Theoretical Computational Intelligence and Applications -- Neural Networks -- Pattern Recognition -- Image Processing -- Biomedical Data Modeling and |
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Mining -- Biomedical Informatics Theory and Methods -- Intelligent Computing in Computational Biology -- Intelligent Computing in Drug Design -- Knowledge Discovery and Data Mining -- Machine Learning -- Natural Language Processing and Computational Linguistics -- Deep learning methods and techniques for medical image analysis -- Intelligent Computing in Computer Vision -- Intelligent Computing in Communication Networks -- Intelligent Data Analysis & Prediction -- Expert Systems -- Reinforcement Learning -- Recent advances in deep learning methods and techniques for medical image analysis. |
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Sommario/riassunto |
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This three-volume set of LNCS 14086, LNCS 14087 and LNCS 14088 constitutes - in conjunction with the double-volume set LNAI 14089-14090- the refereed proceedings of the 19th International Conference on Intelligent Computing, ICIC 2023, held in Zhengzhou, China, in August 2023. The 337 full papers of the three proceedings volumes were carefully reviewed and selected from 828 submissions. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science andtechnology. |
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