
- 448 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Distributional Semantics
About this book
Distributional semantics develops theories and methods to represent the meaning of natural language expressions, with vectors encoding their statistical distribution in linguistic contexts. It is at once a theoretical model to express meaning, a practical methodology to construct semantic representations, a computational framework for acquiring meaning from language data, and a cognitive hypothesis about the role of language usage in shaping meaning. This book aims to build a common understanding of the theoretical and methodological foundations of distributional semantics. Beginning with its historical origins, the text exemplifies how the distributional approach is implemented in distributional semantic models. The main types of computational models, including modern deep learning ones, are described and evaluated, demonstrating how various types of semantic issues are addressed by those models. Open problems and challenges are also analyzed. Students and researchers in natural language processing, artificial intelligence, and cognitive science will appreciate this book.
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Yes, you can access Distributional Semantics by Alessandro Lenci,Magnus Sahlgren in PDF and/or ePUB format, as well as other popular books in Computer Science & Natural Language Processing. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Halftitle page
- Series page
- Endorsements
- Title page
- Copyright page
- Contents
- Preface
- Acknowledgments
- Part I racktenTheory
- Part II racktenModels
- Part III racktenPractice
- References
- Index