Automatic indexing and abstracting of document texts [[electronic resource] /] / by Marie-Francine Moens |
Autore | Moens Marie-Francine <1957-> |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Boston, : Kluwer Academic Publishers, c2000 |
Descrizione fisica | 1 online resource (282 p.) |
Disciplina | 025.3/0285 |
Collana | The Kluwer international series on information retrieval |
Soggetto topico |
Automatic indexing
Automatic abstracting |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-20588-1
9780306470179 9786610205882 0-306-47017-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The Indexing and Abstracting Environment -- The Need for Indexing and Abstracting Texts -- The Attributes of Text -- Text Representations and Their Use -- Methods of Automatic Indexing and Abstracting -- Automatic Indexing: The Selection of Natural Language Index Terms -- Automatic Indexing: The Assignment of Controlled Language Index Terms -- Automatic Abstracting: The Creation of Text Summaries -- Applications -- Text Structuring and Categorization When Summarizing Legal Cases -- Clustering of Paragraphs When Summarizing Legal Cases -- The Creation of Highlight Abstracts of Magazine Articles -- The Assignment of Subject Descriptors to Magazine Articles. |
Record Nr. | UNINA-9910454837303321 |
Moens Marie-Francine <1957-> | ||
Boston, : Kluwer Academic Publishers, c2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Automatic indexing and abstracting of document texts [[electronic resource] /] / by Marie-Francine Moens |
Autore | Moens Marie-Francine <1957-> |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Boston, : Kluwer Academic Publishers, c2000 |
Descrizione fisica | 1 online resource (282 p.) |
Disciplina | 025.3/0285 |
Collana | The Kluwer international series on information retrieval |
Soggetto topico |
Automatic indexing
Automatic abstracting |
ISBN |
1-280-20588-1
9780306470179 9786610205882 0-306-47017-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The Indexing and Abstracting Environment -- The Need for Indexing and Abstracting Texts -- The Attributes of Text -- Text Representations and Their Use -- Methods of Automatic Indexing and Abstracting -- Automatic Indexing: The Selection of Natural Language Index Terms -- Automatic Indexing: The Assignment of Controlled Language Index Terms -- Automatic Abstracting: The Creation of Text Summaries -- Applications -- Text Structuring and Categorization When Summarizing Legal Cases -- Clustering of Paragraphs When Summarizing Legal Cases -- The Creation of Highlight Abstracts of Magazine Articles -- The Assignment of Subject Descriptors to Magazine Articles. |
Record Nr. | UNINA-9910780040303321 |
Moens Marie-Francine <1957-> | ||
Boston, : Kluwer Academic Publishers, c2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Automatic indexing and abstracting of document texts / / by Marie-Francine Moens |
Autore | Moens Marie-Francine <1957-> |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Boston, : Kluwer Academic Publishers, c2000 |
Descrizione fisica | 1 online resource (282 p.) |
Disciplina | 025.3/0285 |
Collana | The Kluwer international series on information retrieval |
Soggetto topico |
Automatic indexing
Automatic abstracting |
ISBN |
1-280-20588-1
9780306470179 9786610205882 0-306-47017-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The Indexing and Abstracting Environment -- The Need for Indexing and Abstracting Texts -- The Attributes of Text -- Text Representations and Their Use -- Methods of Automatic Indexing and Abstracting -- Automatic Indexing: The Selection of Natural Language Index Terms -- Automatic Indexing: The Assignment of Controlled Language Index Terms -- Automatic Abstracting: The Creation of Text Summaries -- Applications -- Text Structuring and Categorization When Summarizing Legal Cases -- Clustering of Paragraphs When Summarizing Legal Cases -- The Creation of Highlight Abstracts of Magazine Articles -- The Assignment of Subject Descriptors to Magazine Articles. |
Record Nr. | UNINA-9910816860103321 |
Moens Marie-Francine <1957-> | ||
Boston, : Kluwer Academic Publishers, c2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Automatic summarization / / Inderjeet Mani |
Autore | Mani Inderjeet |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Amsterdam ; ; Philadelphia, : J. Benjamins Pub. Co., c2001 |
Descrizione fisica | xviii, 233 p |
Disciplina | 025.4/028 |
Collana | Natural language processing |
Soggetto topico | Automatic abstracting |
ISBN |
1-282-16330-2
90-272-9910-2 9786612163302 90-272-4986-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Automatic Summarization -- Editorial page -- Title page -- LCC data -- Table of ontents -- Preface -- Chapter 1. Preliminaries -- Chapter 2. Professional summarizing -- Chapter 3. Extraction -- Chapter 4. Revision -- Chapter 5. Discourse-level information -- Chapter 6. Abstraction -- Chapter 7. Multi-document summarization -- Chapter 8. Multimedia summarization -- Chapter 9. Evaluation -- Chapter 10. Postscript -- References -- Index. |
Record Nr. | UNINA-9910818890203321 |
Mani Inderjeet | ||
Amsterdam ; ; Philadelphia, : J. Benjamins Pub. Co., c2001 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Automatic text summarization / / Juan-Manuel, Torres-Moreno |
Autore | Torres-Moreno Juan-Manuel |
Pubbl/distr/stampa | London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : John Wiley & Sons, , 2014 |
Descrizione fisica | 1 online resource (376 p.) |
Disciplina | 025.04 |
Soggetto topico | Automatic abstracting |
ISBN |
1-119-04407-3
1-119-00475-6 1-119-04414-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover Page; Half-title Page; Title page; Copyright page; Contents; Foreword by A. Zamora and R. Salvador; Foreword; The need to identify important information; The problem of information storage; Automatic size reduction; The future; Foreword by H. Saggion; Automatic Text Summarization; Juan-Manual Torres-Moreno; Notation; Introduction; The need to summarize texts; The summarization process; Automatic text summarization; About this book; PART 1: Foundations; 1: Why Summarize Texts?; 1.1. The need for automatic summarization; 1.2. Definitions of text summarization
1.3. Categorizing automatic summaries1.4. Applications of automatic text summarization; 1.5. About automatic text summarization; 1.6. Conclusion; 2: Automatic Text Summarization: Some Important Concepts; 2.1. Processes before the process; 2.1.1. Sentence-term matrix: the vector space model (VSM) model; 2.2. Extraction, abstraction or compression?; 2.3. Extraction-based summarization; 2.3.1. Surface-level algorithms; 2.3.2. Intermediate-level algorithms; 2.3.3. Deep parsing algorithms; 2.4. Abstract summarization; 2.4.1. FRUMP or the temptation to understand 2.4.2. Information extraction and abstract generation2.5. Sentence compression and fusion; 2.5.1. Sentence compression; 2.5.2. Multisentence fusion; 2.6. The limits of extraction; 2.6.1. Cohesion and coherence; 2.6.2. The HexTAC experiment; 2.7. The evolution of automatic text summarization tasks; 2.7.1. Traditional tasks; Single-document summarization; Guided summarization; Multidocument summarization; Multilingual summarization; 2.7.2. Current and future problems; Summarization based on the source of the document; Specialized-domain summarization; Update summarization Sentence compression and multi-sentence fusionSemantic summarization; Opinion summarization; Multi and cross-lingual summarization; Ultra-summarization; Tweet summarization (short texts in microblogs); Multimedia summarization; Abstract generation; 2.8. Evaluating summaries; 2.9. Conclusion; 3: Single-document Summarization; 3.1. Historical approaches; 3.1.1. H.P. Luhn's Automatic Creation of Literature Abstracts; 3.1.2. The Luhn algorithm; 3.1.2.1. Preprocessing; 3.1.2.2. Sentence weighting; 3.1.3. Edmundson's linear combination; Edmundson's algorithm; 3.1.4. Extracts by elimination 3.2. Machine learning approaches3.2.1. Machine learning parameters; 3.3. State-of-the-art approaches; 3.4. Latent semantic analysis; 3.4.1. Singular value decomposition (SVD); 3.4.2. Sentence weighting by SVD; 3.5. Graph-based approaches; 3.5.1. PAGERANK and SNA algorithms; 3.5.2. Graphs and automatic text summarization; 3.5.3. Constructing the graph; 3.5.4. Sentence weighting; 3.5.4.1. LEXRANK; 3.5.4.2. TEXTRANK; 3.6. DIVTEX: a summarizer based on the divergence of probability distribution; 3.7. CORTEX 22; 3.7.1. Frequential measures; 3.7.2. Hamming measures; 3.7.3. Mixed measures 3.7.4. Decision algorithm |
Record Nr. | UNINA-9910140506903321 |
Torres-Moreno Juan-Manuel | ||
London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : John Wiley & Sons, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Automatic text summarization / / Juan-Manuel, Torres-Moreno |
Autore | Torres-Moreno Juan-Manuel |
Pubbl/distr/stampa | London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : John Wiley & Sons, , 2014 |
Descrizione fisica | 1 online resource (376 p.) |
Disciplina | 025.04 |
Soggetto topico | Automatic abstracting |
ISBN |
1-119-04407-3
1-119-00475-6 1-119-04414-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover Page; Half-title Page; Title page; Copyright page; Contents; Foreword by A. Zamora and R. Salvador; Foreword; The need to identify important information; The problem of information storage; Automatic size reduction; The future; Foreword by H. Saggion; Automatic Text Summarization; Juan-Manual Torres-Moreno; Notation; Introduction; The need to summarize texts; The summarization process; Automatic text summarization; About this book; PART 1: Foundations; 1: Why Summarize Texts?; 1.1. The need for automatic summarization; 1.2. Definitions of text summarization
1.3. Categorizing automatic summaries1.4. Applications of automatic text summarization; 1.5. About automatic text summarization; 1.6. Conclusion; 2: Automatic Text Summarization: Some Important Concepts; 2.1. Processes before the process; 2.1.1. Sentence-term matrix: the vector space model (VSM) model; 2.2. Extraction, abstraction or compression?; 2.3. Extraction-based summarization; 2.3.1. Surface-level algorithms; 2.3.2. Intermediate-level algorithms; 2.3.3. Deep parsing algorithms; 2.4. Abstract summarization; 2.4.1. FRUMP or the temptation to understand 2.4.2. Information extraction and abstract generation2.5. Sentence compression and fusion; 2.5.1. Sentence compression; 2.5.2. Multisentence fusion; 2.6. The limits of extraction; 2.6.1. Cohesion and coherence; 2.6.2. The HexTAC experiment; 2.7. The evolution of automatic text summarization tasks; 2.7.1. Traditional tasks; Single-document summarization; Guided summarization; Multidocument summarization; Multilingual summarization; 2.7.2. Current and future problems; Summarization based on the source of the document; Specialized-domain summarization; Update summarization Sentence compression and multi-sentence fusionSemantic summarization; Opinion summarization; Multi and cross-lingual summarization; Ultra-summarization; Tweet summarization (short texts in microblogs); Multimedia summarization; Abstract generation; 2.8. Evaluating summaries; 2.9. Conclusion; 3: Single-document Summarization; 3.1. Historical approaches; 3.1.1. H.P. Luhn's Automatic Creation of Literature Abstracts; 3.1.2. The Luhn algorithm; 3.1.2.1. Preprocessing; 3.1.2.2. Sentence weighting; 3.1.3. Edmundson's linear combination; Edmundson's algorithm; 3.1.4. Extracts by elimination 3.2. Machine learning approaches3.2.1. Machine learning parameters; 3.3. State-of-the-art approaches; 3.4. Latent semantic analysis; 3.4.1. Singular value decomposition (SVD); 3.4.2. Sentence weighting by SVD; 3.5. Graph-based approaches; 3.5.1. PAGERANK and SNA algorithms; 3.5.2. Graphs and automatic text summarization; 3.5.3. Constructing the graph; 3.5.4. Sentence weighting; 3.5.4.1. LEXRANK; 3.5.4.2. TEXTRANK; 3.6. DIVTEX: a summarizer based on the divergence of probability distribution; 3.7. CORTEX 22; 3.7.1. Frequential measures; 3.7.2. Hamming measures; 3.7.3. Mixed measures 3.7.4. Decision algorithm |
Record Nr. | UNINA-9910822283103321 |
Torres-Moreno Juan-Manuel | ||
London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : John Wiley & Sons, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
A unified framework for video summarization, browsing, and retrieval with applications to consumer and surveillance video [[electronic resource] /] / Ziyou Xiong ... [et al.] |
Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier/Academic Press, c2006 |
Descrizione fisica | 1 online resource (291 p.) |
Disciplina | 006.3/7 |
Altri autori (Persone) | XiongZiyou |
Soggetto topico |
Digital video
Video recordings Automatic abstracting Database management Image processing - Digital techniques |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-05226-4
9786611052263 0-08-048153-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; A UNIFIED FRAMEWORK FOR VIDEO SUMMARIZATION, BROWSING, AND RETRIEVAL; Copyright Page; Contents; List of Figures; List of Tables; Preface; Acknowledgments; Chapter 1. Introduction; 1.1 Introduction; 1.2 Terminology; 1.3 Video Analysis; 1.4 Video Representation; 1.5 Video Browsing and Retrieval; 1.6 The Rest of the Book; Chapter 2. Video Table-of-Content Generation; 2.1 Introduction; 2.2 Related Work; 2.3 The Proposed Approach; 2.4 Determination of the Parameters; 2.5 Experimental Results; 2.6 Conclusions; Chapter 3. Highlights Extraction from Unscripted Video; 3.1 Introduction
3.2 Audio Marker Recognition3.3 Visual Marker Detection; 3.4 Finer-Resolution Highlights Extraction; 3.5 Conclusions; Chapter 4. Video Structure Discovery Using Unsupervised Learning; 4.1 Motivation and Related Work; 4.2 Proposed Inlier/Outlier-Based Representation for "Unscripted" Multimedia Using Audio Analysis; 4.3 Feature Extraction and the Audio Classification Framework; 4.4 Proposed Time Series Analysis Framework; 4.5 Ranking Outliers for Summarization; 4.6 Application to Consumer Video Browsing; 4.7 Systematic Acquisition of Key Audio Classes; 4.8 Possibilities for Future Research Chapter 5. Video Indexing5.1 Introduction; 5.2 Indexing with Low-Level Features: Motion; 5.3 Indexing with Low-Level Features: Color; 5.4 Indexing with Low-Level Features: Texture; 5.5 Indexing with Low-Level Features: Shape; 5.6 Indexing with Low-Level Features: Audio; 5.7 Indexing with User Feedback; 5.8 Indexing Using Concepts; 5.9 Discussion and Conclusions; Chapter 6. A Unified Framework for Video Summarization, Browsing, and Retrieval; 6.1 Video Browsing; 6.2 Video Highlights Extraction; 6.3 Video Retrieval; 6.4 A Unified Framework for Summarization, Browsing, and Retrieval 6.5 Conclusions and Promising Research DirectionsChapter 7. Applications; 7.1 Introduction; 7.2 Consumer Video Applications; 7.3 Image/Video Database Management; 7.4 Surveillance; 7.5 Challenges of Current Applications; 7.6 Conclusions; Chapter 8. Conclusions; Bibliography; About the Authors; Index |
Record Nr. | UNINA-9910458950803321 |
Amsterdam ; ; Boston, : Elsevier/Academic Press, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
A unified framework for video summarization, browsing, and retrieval with applications to consumer and surveillance video [[electronic resource] /] / Ziyou Xiong ... [et al.] |
Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier/Academic Press, c2006 |
Descrizione fisica | 1 online resource (291 p.) |
Disciplina | 006.3/7 |
Altri autori (Persone) | XiongZiyou |
Soggetto topico |
Digital video
Video recordings Automatic abstracting Database management Image processing - Digital techniques |
ISBN |
1-281-05226-4
9786611052263 0-08-048153-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; A UNIFIED FRAMEWORK FOR VIDEO SUMMARIZATION, BROWSING, AND RETRIEVAL; Copyright Page; Contents; List of Figures; List of Tables; Preface; Acknowledgments; Chapter 1. Introduction; 1.1 Introduction; 1.2 Terminology; 1.3 Video Analysis; 1.4 Video Representation; 1.5 Video Browsing and Retrieval; 1.6 The Rest of the Book; Chapter 2. Video Table-of-Content Generation; 2.1 Introduction; 2.2 Related Work; 2.3 The Proposed Approach; 2.4 Determination of the Parameters; 2.5 Experimental Results; 2.6 Conclusions; Chapter 3. Highlights Extraction from Unscripted Video; 3.1 Introduction
3.2 Audio Marker Recognition3.3 Visual Marker Detection; 3.4 Finer-Resolution Highlights Extraction; 3.5 Conclusions; Chapter 4. Video Structure Discovery Using Unsupervised Learning; 4.1 Motivation and Related Work; 4.2 Proposed Inlier/Outlier-Based Representation for "Unscripted" Multimedia Using Audio Analysis; 4.3 Feature Extraction and the Audio Classification Framework; 4.4 Proposed Time Series Analysis Framework; 4.5 Ranking Outliers for Summarization; 4.6 Application to Consumer Video Browsing; 4.7 Systematic Acquisition of Key Audio Classes; 4.8 Possibilities for Future Research Chapter 5. Video Indexing5.1 Introduction; 5.2 Indexing with Low-Level Features: Motion; 5.3 Indexing with Low-Level Features: Color; 5.4 Indexing with Low-Level Features: Texture; 5.5 Indexing with Low-Level Features: Shape; 5.6 Indexing with Low-Level Features: Audio; 5.7 Indexing with User Feedback; 5.8 Indexing Using Concepts; 5.9 Discussion and Conclusions; Chapter 6. A Unified Framework for Video Summarization, Browsing, and Retrieval; 6.1 Video Browsing; 6.2 Video Highlights Extraction; 6.3 Video Retrieval; 6.4 A Unified Framework for Summarization, Browsing, and Retrieval 6.5 Conclusions and Promising Research DirectionsChapter 7. Applications; 7.1 Introduction; 7.2 Consumer Video Applications; 7.3 Image/Video Database Management; 7.4 Surveillance; 7.5 Challenges of Current Applications; 7.6 Conclusions; Chapter 8. Conclusions; Bibliography; About the Authors; Index |
Record Nr. | UNINA-9910784649403321 |
Amsterdam ; ; Boston, : Elsevier/Academic Press, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
A unified framework for video summarization, browsing, and retrieval with applications to consumer and surveillance video / / Ziyou Xiong ... [et al.] |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier/Academic Press, c2006 |
Descrizione fisica | 1 online resource (291 p.) |
Disciplina | 006.3/7 |
Altri autori (Persone) | XiongZiyou |
Soggetto topico |
Digital video
Video recordings Automatic abstracting Database management Image processing - Digital techniques |
ISBN |
1-281-05226-4
9786611052263 0-08-048153-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; A UNIFIED FRAMEWORK FOR VIDEO SUMMARIZATION, BROWSING, AND RETRIEVAL; Copyright Page; Contents; List of Figures; List of Tables; Preface; Acknowledgments; Chapter 1. Introduction; 1.1 Introduction; 1.2 Terminology; 1.3 Video Analysis; 1.4 Video Representation; 1.5 Video Browsing and Retrieval; 1.6 The Rest of the Book; Chapter 2. Video Table-of-Content Generation; 2.1 Introduction; 2.2 Related Work; 2.3 The Proposed Approach; 2.4 Determination of the Parameters; 2.5 Experimental Results; 2.6 Conclusions; Chapter 3. Highlights Extraction from Unscripted Video; 3.1 Introduction
3.2 Audio Marker Recognition3.3 Visual Marker Detection; 3.4 Finer-Resolution Highlights Extraction; 3.5 Conclusions; Chapter 4. Video Structure Discovery Using Unsupervised Learning; 4.1 Motivation and Related Work; 4.2 Proposed Inlier/Outlier-Based Representation for "Unscripted" Multimedia Using Audio Analysis; 4.3 Feature Extraction and the Audio Classification Framework; 4.4 Proposed Time Series Analysis Framework; 4.5 Ranking Outliers for Summarization; 4.6 Application to Consumer Video Browsing; 4.7 Systematic Acquisition of Key Audio Classes; 4.8 Possibilities for Future Research Chapter 5. Video Indexing5.1 Introduction; 5.2 Indexing with Low-Level Features: Motion; 5.3 Indexing with Low-Level Features: Color; 5.4 Indexing with Low-Level Features: Texture; 5.5 Indexing with Low-Level Features: Shape; 5.6 Indexing with Low-Level Features: Audio; 5.7 Indexing with User Feedback; 5.8 Indexing Using Concepts; 5.9 Discussion and Conclusions; Chapter 6. A Unified Framework for Video Summarization, Browsing, and Retrieval; 6.1 Video Browsing; 6.2 Video Highlights Extraction; 6.3 Video Retrieval; 6.4 A Unified Framework for Summarization, Browsing, and Retrieval 6.5 Conclusions and Promising Research DirectionsChapter 7. Applications; 7.1 Introduction; 7.2 Consumer Video Applications; 7.3 Image/Video Database Management; 7.4 Surveillance; 7.5 Challenges of Current Applications; 7.6 Conclusions; Chapter 8. Conclusions; Bibliography; About the Authors; Index |
Record Nr. | UNINA-9910820449103321 |
Amsterdam ; ; Boston, : Elsevier/Academic Press, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|