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.
General
Imprint: |
Cambridge UniversityPress
|
Country of origin: |
United Kingdom |
Series: |
Studies in Natural Language Processing |
Release date: |
August 2023 |
Authors: |
Alessandro Lenci
• Magnus Sahlgren
|
Pages: |
452 |
ISBN-13: |
978-1-107-00429-0 |
Categories: |
Books
|
LSN: |
1-107-00429-2 |
Barcode: |
9781107004290 |
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