Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic ...
In this paper, we present an original framework to model frame semantic resources (namely, FrameNet) using minimal supervision. This framework can be leveraged both to expand an e...
Marco Pennacchiotti, Diego De Cao, Paolo Marocco, ...
This study examines the relationship between two kinds of semantic spaces -- i.e., spaces based on term frequency (tf) and word cooccurrence frequency (co) -- and four semantic re...
It is the concern of the author to arrange cogitations and experiences she gained by collaborating in relevant international project works, by conducting scientific studies regard...
Recent work in the field of middleware technology proposes semantic spaces as a tool for coping with the scalability, heterogeneity and dynamism issues arising in large scale dist...