2011, ISBN: 9783540452249

7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I, eBooks, eBook Download (PDF), 2.1 Text Summarization &quote;Text summarization is the pro… Mehr…

7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I, eBooks, eBook Download (PDF), 2.1 Text Summarization &quote;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)&quote; [3]. Basic and classical articles in text summarization appear in &quote;Advances in automatic text summarization&quote; [3]. A literature survey on information extraction and text summarization is given by Zechner [7]. 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]. [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, 2011<

2003, ISBN: 9783540452249

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 … Mehr…

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].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].; PDF; Computing > Computer science > Artificial intelligence, Springer Berlin Heidelberg<

2003, ISBN: 9783540452249

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 … Mehr…

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].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].; PDF; Computing > Computer science > Artificial intelligence, Springer Berlin Heidelberg<

2003, ISBN: 9783540452249

Knowledge-Based Intelligent Information and Engineering Systems ab 85.49 € als pdf eBook: 7th International Conference KES 2003 Oxford UK September 3-5 2003 Proceedings Part I. Aus dem Be… Mehr…

Knowledge-Based Intelligent Information and Engineering Systems ab 85.49 € als pdf eBook: 7th International Conference KES 2003 Oxford UK September 3-5 2003 Proceedings Part I. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet, Medien > Bücher, Knowledge-Based Intelligent Information and Engineering Systems - eBook als pdf von - Springer Berlin Heidelberg - 9783540452249<

2003, ISBN: 9783540452249

Knowledge-Based Intelligent Information and Engineering Systems - 7th International Conference KES 2003 Oxford UK September 3-5 2003 Proceedings Part I: ab 85.49 € eBooks > Sachthemen & R… Mehr…

Knowledge-Based Intelligent Information and Engineering Systems - 7th International Conference KES 2003 Oxford UK September 3-5 2003 Proceedings Part I: ab 85.49 € eBooks > Sachthemen & Ratgeber > Computer & Internet Springer Berlin Heidelberg eBook als pdf, Springer Berlin Heidelberg<