Neural Generation of Textual Summaries from Knowledge Base Triples /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Vougiouklis, P.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : IOS Press, 2020.
Colección:Studies on the Semantic Web ; v. 045.
Temas:
Semantic Web.
Web site development.
Knowledge management.
Knowledge Management
Web sémantique.
Sites Web > Développement.
Gestion des connaissances.
Knowledge management
Semantic Web
Web site development
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Title Page
  • Acknowledgements
  • Abstract
  • Notation
  • Contents
  • Introduction
  • Aims and Objectives
  • Contributions
  • Thesis Structure
  • Background
  • Natural Language Generation
  • Neural Networks in Natural Language Processing
  • Language Modelling with Neural Networks
  • Neural Networks as Generative Models
  • Encoder-Decoder Framework
  • Summary
  • Evaluation Methodology
  • Evaluation Methods
  • Automatic Evaluation
  • Human Evaluation
  • Evaluating Multilingual Summaries from the Perspective of Wikipedia Readers and Editors
  • Baselines
  • Random
  • Kneser-Ney (KN) Language Model
  • Information Retrieval (IR)
  • Machine Translation (MT)
  • Summary
  • Building Corpora of Natural Language Texts Aligned with Knowledge Base Triples
  • Automatically Aligning Texts and Triples
  • Wikipedia Summaries
  • Knowledge Base Triples
  • Aligned Corpora
  • Biographies
  • The D3 Corpus
  • Building Multilingual Corpora
  • Discussion
  • Summary
  • Neural Wikipedian: Generating Biographies from Knowledge Base Triples
  • The Model
  • Triple Encoder
  • Decoder
  • Property-Type Placeholders
  • Model Training
  • Generating Summaries
  • Dataset Preparation
  • Modelling the Textual Summaries
  • Modelling the Input Triples
  • Experiments
  • Training Details
  • Automatic Evaluation
  • Human Evaluation
  • Discussion
  • Conclusion
  • Learning to Generate Wikipedia Summaries for Underserved Languages
  • Model
  • Property Placeholders
  • Dataset Preparation
  • Experiments
  • Training Details
  • Automatic Evaluation
  • Community Study
  • Recruitment
  • Readers' Evaluation
  • Editors' Evaluation
  • Conclusion
  • Point at the Triple: Improving Neural Wikipedian with a Pointer Mechanism
  • The Model
  • Decoder
  • Triple Encoder
  • Dynamically Expanding the Vocabulary
  • Summarising By Pointing and Generating
  • Dataset Preparation
  • Experiments
  • Training Details
  • Automatic Evaluation
  • Human Evaluation
  • Summary and Discussion
  • Conclusion and Future Work
  • Summary and Conclusions
  • Current Limitations and Future Work
  • Generation of Multi-Sentence Summaries
  • The Main Entity of Interest
  • Using the S3 Corpus
  • Bibliography

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