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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Natural Language Understanding in a Semantic Web Context (Hardcover, 1st ed. 2016)
Loot Price: R2,676
Discovery Miles 26 760
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Natural Language Understanding in a Semantic Web Context (Hardcover, 1st ed. 2016)
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This book serves as a starting point for Semantic Web (SW) students
and researchers interested in discovering what Natural Language
Processing (NLP) has to offer. NLP can effectively help uncover the
large portions of data held as unstructured text in natural
language, thus augmenting the real content of the Semantic Web in a
significant and lasting way. The book covers the basics of NLP,
with a focus on Natural Language Understanding (NLU), referring to
semantic processing, information extraction and knowledge
acquisition, which are seen as the key links between the SW and NLP
communities. Major emphasis is placed on mining sentences in search
of entities and relations. In the course of this "quest",
challenges will be encountered for various text analysis tasks,
including part-of-speech tagging, parsing, semantic disambiguation,
named entity recognition and relation extraction. Standard
algorithms associated with these tasks are presented to provide an
understanding of the fundamental concepts. Furthermore, the
importance of experimental design and result analysis is
emphasized, and accordingly, most chapters include small
experiments on corpus data with quantitative and qualitative
analysis of the results. This book is divided into four parts. Part
I "Searching for Entities in Text" is dedicated to the search for
entities in textual data. Next, Part II "Working with Corpora"
investigates corpora as valuable resources for NLP work. In turn,
Part III "Semantic Grounding and Relatedness" focuses on the
process of linking surface forms found in text to entities in
resources. Finally, Part IV "Knowledge Acquisition" delves into the
world of relations and relation extraction. The book also includes
three appendices: "A Look into the Semantic Web" gives a brief
overview of the Semantic Web and is intended to bring readers less
familiar with the Semantic Web up to speed, so that they too can
fully benefit from the material of this book. "NLP Tools and
Platforms" provides information about NLP platforms and tools,
while "Relation Lists" gathers lists of relations under different
categories, showing how relations can be varied and serve different
purposes. And finally, the book includes a glossary of over 200
terms commonly used in NLP. The book offers a valuable resource for
graduate students specializing in SW technologies and professionals
looking for new tools to improve the applicability of SW techniques
in everyday life - or, in short, everyone looking to learn about
NLP in order to expand his or her horizons. It provides a wealth of
information for readers new to both fields, helping them understand
the underlying principles and the challenges they may encounter.
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