This book conveys the fundamentals of Linked Lexical Knowledge
Bases (LLKB) and sheds light on their different aspects from
various perspectives, focusing on their construction and use in
natural language processing (NLP). It characterizes a wide range of
both expert-based and collaboratively constructed lexical knowledge
bases. Only basic familiarity with NLP is required and this book
has been written for both students and researchers in NLP and
related fields who are interested in knowledge-based approaches to
language analysis and their applications. Lexical Knowledge Bases
(LKBs) are indispensable in many areas of natural language
processing, as they encode human knowledge of language in machine
readable form, and as such, they are required as a reference when
machines attempt to interpret natural language in accordance with
human perception. In recent years, numerous research efforts have
led to the insight that to make the best use of available
knowledge, the orchestrated exploitation of different LKBs is
necessary. This allows us to not only extend the range of covered
words and senses, but also gives us the opportunity to obtain a
richer knowledge representation when a particular meaning of a word
is covered in more than one resource. Examples where such an
orchestrated usage of LKBs proved beneficial include word sense
disambiguation, semantic role labeling, semantic parsing, and text
classification. This book presents different kinds of automatic,
manual, and collaborative linkings between LKBs. A special chapter
is devoted to the linking algorithms employing text-based,
graph-based, and joint modeling methods. Following this, it
presents a set of higher-level NLP tasks and algorithms,
effectively utilizing the knowledge in LLKBs. Among them, you will
find advanced methods, e.g., distant supervision, or continuous
vector space models of knowledge bases (KB), that have become
widely used at the time of this book's writing. Finally,
multilingual applications of LLKB's, such as cross-lingual semantic
relatedness and computer-aided translation are discussed, as well
as tools and interfaces for exploring LLKBs, followed by
conclusions and future research directions.
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