We present a tagged corpus for English noun compound interpretation and describe the method used to generate them. In order to collect noun compounds, we extracted binary noun compounds (i.e. noun-noun pairs) by looking for sequences of two nouns in the POS tag data of the Wall Street Journal. We then manually filtered out all noun compounds which were incorrectly tagged or included proper noun...

We present a new, sizeable dataset of noun– noun compounds with their syntactic analysis (bracketing) and semantic relations. Derived from several established linguistic resources, such as the Penn Treebank, our dataset enables experimenting with new approaches towards a holistic analysis of noun–noun compounds, such as jointlearning of noun–noun compounds bracketing and interpretation, as well...

There are several theories regarding what influences prominence assignment in English noun-noun compounds. We developed corpus-driven models for automatically predicting prominence assignment in noun-noun compounds using feature sets based on two such theories: the informativeness theory and the semantic composition theory. The evaluation of the prediction models indicate that though both of th...