The automatic interpretation of noun-noun
compounds is an important subproblem
within many natural language processing
applications and is an area of increasing
interest. The problem is difficult, with disagreement
regarding the number and nature
of the relations, low inter-annotator
agreement, and limited annotated data. In
this paper, we present a novel taxonomy
of relations that integrates previous relations,
the largest publicly-available annotated
dataset, and a supervised classification
method for automatic noun compound
interpretation.
1