This book proposes a linguistically motivated approach to
terminological processing.Specifically, it investigates how
syntactic functions can be utilized for enhanced term extraction.
The rationale of this work stems from the understanding that terms
tend to perform particular syntactic functions more prominently and
their syntactic behaviour can be captured and represented as
termhood by computing term ratios in different syntactic paths. In
essence, this method is a weighting scheme that measures the
probabilistic relations between term occurring patterns and
syntactic paths. The studies presented in this book are aimed at
answering several research questions: whether syntactic information
is useful for recognizing candidate terms in medical text, how this
syntactically oriented metric can be used to improve the ranking of
multi-word terms, and whether this metric can be used effectively
for novel term recognition as an effective feature in a machine
learning paradigm. This research has led to an implemented system
which demonstrates superior performance when compared with some
major publically accessible systems for term extraction.
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