In this paper, we present a rich semantic network based on a differential analysis. We then detail implemented measures that take into account common and differential features bet...
We evaluate probabilistic models of verb argument structure trained on a corpus of verbs and their syntactic arguments. Models designed to represent patterns of verb alternation b...
We present a supervised learning approach to identification of anaphoric and non-anaphoric noun phrases and show how such information can be incorporated into a coreference resolu...
We consider clustering as computation of a structure of proximity relationships within a data set in a feature space or its subspaces. We propose a data structure to represent suc...
In this paper we show to what degree the countability of English nouns is predictable from their semantics. We found that at 78% of nouns' countability could be predicted usi...