Francesca Fallucchi

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In distributional semantics studies, there is a growing attention in compositionally determining the distributional meaning of word sequences. Yet, compositional dis-tributional models depend on a large set of parameters that have not been explored. In this paper we propose a novel approach to estimate parameters for a class of com-positional distributional(More)
This paper describes the experience of introducing a service for semantic bookmarking and search in the Earth Observation (EO) domain. To perform the work reported such a service has been integrated and customized in the framework of the DILIGENT project which concluded in 2007. The service proposed is a web browser ontology based extension: at the(More)
In this work we describe Semantic Turkey, a Semantic Extension for the popular web browser Mozilla Firefox. Semantic Turkey can be used to keep track of relevant information from visited web sites and organize collected content according to a personally defined ontology. In this sense, Semantic Turkey can be seen both as an advanced semantic bookmarking(More)
Museums need to find innovative ways of communicating if these institutions want to survive in the new era and want to play their active role of educators. In this paper, we will present our idea of living artworks. Using conversational agents we want to give artworks the capability of talking to visitors. A living artwork attracts attention, being a funny(More)
In ontology learning from texts, we have ontology-rich domains where we have large structured domain knowledge repositories or we have large general corpora with large general structured knowledge repositories such as WordNet (Miller, 1995). Ontology learning methods are more useful in ontology-poor domains. Yet, in these conditions, these methods have not(More)
In this paper, we propose a novel way to include unsupervised feature selection methods in probabilistic taxonomy learning models. We leverage on the computation of logistic regression to exploit unsupervised feature selection of singular value decomposition (SVD). Experiments show that this way of using SVD for feature selection positively affects(More)