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 distributional 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 compositional 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)
Control systems are small components that control the behavior of larger systems. In the last years, sophisticated controllers have been widely used in the hardware/software embedded systems contained in a growing number of everyday products and appliances. Therefore, the problem of the automatic synthesis of controllers is extremely important. To this aim,(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)
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 perfor-
Capturing word meaning is one of the challenges of Natural Language Processing (NLP). Formal models of meaning such as ontologies are knowledge repositories used in a variety of applications. To be effectively used, these ontologies have to be large or, at least, adapted to specific domains. This chapter’s main goal is to practically contribute to the(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)
Text understanding models exploit semantic networks of words as basic components. Automatically enriching and expanding these resources is then an important challenge for NLP. Existing models for enriching semantic resources based on lexical-syntactic patterns make little use of structural properties of target semantic relations. In this paper, we propose a(More)