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Neural generation of textual summaries from knowledge base triples / Pavlos Vougiouklis.
- Format:
- Book
- Author/Creator:
- Vougiouklis, Pavlos, author.
- Series:
- Studies on the Semantic Web ; Volume 45.
- Studies on the Semantic Web ; Volume 45
- Language:
- English
- Subjects (All):
- Semantic Web.
- Web site development.
- Knowledge management.
- Physical Description:
- 1 online resource (174 pages).
- Edition:
- 1st ed.
- Place of Publication:
- Amsterdam, Netherlands : IOS Press, 2020.
- Summary:
- Most people need textual or visual interfaces to help them make sense of Semantic Web data.In this book, the author investigates the problems associated with generating natural language summaries for structured data encoded as triples using deep neural networks.An end-to-end trainable architecture is proposed, which encodes the information.
- Contents:
- 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)
- 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
- 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
- Conclusion
- Learning to Generate Wikipedia Summaries for Underserved Languages
- Model
- Property Placeholders
- Community Study
- Recruitment
- Readers' Evaluation
- Editors' Evaluation
- Point at the Triple: Improving Neural Wikipedian with a Pointer Mechanism
- Dynamically Expanding the Vocabulary
- Summarising By Pointing and Generating
- Experiments.
- Training Details
- 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.
- Notes:
- Description based on print version record.
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-64368-067-6
- OCLC:
- 1161988401
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