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Multi-source, Multilingual Information Extraction and Summarization

Author: Thierry Poibeau

Publisher: Springer Science & Business Media

Published: 2012-08-14

Total Pages: 331

ISBN-13: 3642285694

Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.

Automatic Summarization

Author: Inderjeet Mani

Publisher: John Benjamins Publishing

Published: 2001-06-01

Total Pages: 299

ISBN-13: 9027299102

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With the explosion in the quantity of on-line text and multimedia information in recent years, there has been a renewed interest in automatic summarization. This book provides a systematic introduction to the field, explaining basic definitions, the strategies used by human summarizers, and automatic methods that leverage linguistic and statistical knowledge to produce extracts and abstracts. Drawing from a wealth of research in artificial intelligence, natural language processing, and information retrieval, the book also includes detailed assessments of evaluation methods and new topics such as multi-document and multimedia summarization. Previous automatic summarization books have been either collections of specialized papers, or else authored books with only a chapter or two devoted to the field as a whole. This is the first textbook on the subject, developed based on teaching materials used in two one-semester courses. To further help the student reader, the book includes detailed case studies, accompanied by end-of-chapter reviews and an extensive glossary.Audience: students and researchers, as well as information technology managers, librarians, and anyone else interested in the subject.

Automatic Text Simplification

Author: Horacio Saggion

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 121

ISBN-13: 3031021665

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Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or long and complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.

Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy

Author: Wenjie Li

Publisher: Springer

Published: 2009-03-27

Total Pages: 415

ISBN-13: 3642008313

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The International Conference on the Computer Processing of Oriental L- guages(ICCPOL)seriesishostedbytheChineseandOrientalLanguagesSociety (COLCS),aninternationalsocietyfoundedin1975.RecentICCPOLeventshave been held in Hong Kong (1997), Tokushima, Japan (1999), Seoul, Korea (2001), Shenyang, China (2003) and Singapore (2006). This volume presents the proceedings of the 22nd International Conference ontheComputerProcessingofOrientalLanguages(ICCPOL2009)heldinHong Kong, March 26-27, 2009. We received 63 submissions and all the papers went through a blind review process by members of the Program Committee. After careful discussion, 25 of them were selected for oral presentation and 15 for poster presentation. The accepted papers covered a variety of topics in natural language processing and its applications, including word segmentation, phrase and term extraction, chunking and parsing, semantic labelling, opinion mining, ontology construction, machine translation, information extraction, document summarization and so on. On behalf of the Program Committee, we would like to thank all authors of submitted papers for their support. We wish to extend our appreciation to the Program Committee members and additional external reviewers for their tremendous e?ort and excellent reviews. We gratefully acknowledge the Or- nizing Committee and Publication Committee members for their generous c- tribution to the success of the conference. We also thank the Asian Federation of Natural Language Processing (AFNLP), the Department of Computing, The Hong Kong Polytechnic University, Hong Kong, the Department of Systems - gineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, and the Centre for Language Technology, Macquarie University, Australia for their valuable support.

Advanced Applications of Natural Language Processing for Performing Information Extraction

Author: Mário Rodrigues

Publisher: Springer

Published: 2015-05-06

Total Pages: 82

ISBN-13: 3319155636

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This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses. · Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for the software developer and providing references for specialized literature in the area · Presents a comprehensive list of freely available, high quality software for several subtasks of IE and for several natural languages · Describes a generic architecture that can learn how to extract information for a given application domain

User Centric Media

Author: Petros Daras

Publisher: Springer

Published: 2010-05-07

Total Pages: 364

ISBN-13: 3642126308

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This book constitutes the thoroughly refereed post-conference proceedings of the First International Conference, UCMedia 2009, which was held on 9-11 December 2009 at Hotel Novotel Venezia Mestre Castellana in Venice, Italy. The conference`s focus was on forms and production, delivery, access, discovery and consumption of user centric media. After a thorough review process of the papers received, 23 were accepted from open call for the main conference and 20 papers for the workshops.

Mining Massive Data Sets for Security

Author: Françoise Fogelman-Soulié

Publisher: IOS Press

Published: 2008

Total Pages: 388

ISBN-13: 1586038982

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The real power for security applications will come from the synergy of academic and commercial research focusing on the specific issue of security. This book is suitable for those interested in understanding the techniques for handling very large data sets and how to apply them in conjunction for solving security issues.

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Author: Maosong Sun

Publisher: Springer

Published: 2015-11-07

Total Pages: 426

ISBN-13: 3319258168

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This book constitutes the refereed proceedings of the 14th China National Conference on Computational Linguistics, CCL 2014, and of the Third International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2015, held in Guangzhou, China, in November 2015. The 34 papers presented were carefully reviewed and selected from 283 submissions. The papers are organized in topical sections on lexical semantics and ontologies; semantics; sentiment analysis, opinion mining and text classification; machine translation; multilinguality in NLP; machine learning methods for NLP; knowledge graph and information extraction; discourse, coreference and pragmatics; information retrieval and question answering; social computing; NLP applications.

Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena

Author: Daniel, Ben Kei

Publisher: IGI Global

Published: 2010-11-30

Total Pages: 984

ISBN-13: 160960041X

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"This book satisfies the need for methodological consideration and tools for data collection, analysis and presentation in virtual communities, covering studies on various types of virtual communities, making this reference a comprehensive source of research for those in the social sciences and humanities"--Provided by publisher.

Knowledge Graphs

Author: Mayank Kejriwal

Publisher: MIT Press

Published: 2021-03-30

Total Pages: 559

ISBN-13: 0262045095

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A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.