Knowledge-Based Intelligent Information and Engineering Systems : 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I / edited by Vasile Palade.

Format:

Book

Contributor:

Palade, Vasile, 1964- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 2773.

Lecture Notes in Artificial Intelligence ; 2773

Language:

English

Subjects (All):

Artificial intelligence.

Computer networks.

Information storage and retrieval.

Application software.

User interfaces (Computer systems).

Information technology.

Business--Data processing.

Business.

Artificial Intelligence.

Computer Communication Networks.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

User Interfaces and Human Computer Interaction.

IT in Business.

Local Subjects:

Artificial Intelligence.

Computer Communication Networks.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

User Interfaces and Human Computer Interaction.

IT in Business.

Physical Description:

1 online resource (CII, 1476 pages).

Edition:

First edition 2003.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.

System Details:

text file PDF

Summary:

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 and others [1].

Contents:

Keynote Lectures

General Session Papers

Invited Sessions Papers.

Other Format:

Printed edition:

ISBN:

978-3-540-45224-9

9783540452249

Access Restriction:

Restricted for use by site license.