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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Annotating Regulations Using Cerno: an Application to Italian Documents (Extended Abstract) Nicola Zeni; Nadzeya Kiyavitskaya; Luisa Mich... In: http://www.cs.queensu.ca/home/cordy/Papers/ZKCMM_SREIS08_Italian.pdf (2008) BASE Show details 2 NLP-Based Requirements Modeling: Experiments on the Quality of the models ∗ Nadzeya Kiyavitskaya; Nicola Zeni; Luisa Mich... In: http://eprints.biblio.unitn.it/archive/00000520/01/005.pdf (2004) BASE Show details 3 Applying GaiusT for Extracting Requirements from Legal Documents Nicola Zeni; Luisa Mich; John Mylopoulos In: http://research.cs.queensu.ca/home/cordy/Papers/ZMMC_RELAW13_GaiusT.pdf BASE Show details 4 Automating the Generation of Semantic Annotation Schema Using a Clustering Technique ⋆ Vitór Souza; Nicola Zeni; Nadzeya Kiyavitskaya; Periklis Andritsos; John Mylopoulos In: http://www.cs.toronto.edu/%7Eperiklis/pubs/nldb08.pdf Abstract: Abstract. In order to generate semantic annotations for a collection of documents, one needs an annotation schema consisting of a semantic model (a.k.a. ontology) along with lists of linguistic indicators (keywords and patterns) for each concept in the ontology. The focus of this paper is the automatic generation of the linguistic indicators for a given semantic model and a corpus of documents. Our approach needs a small number of user-defined seeds and bootstraps itself by exploiting a novel clustering technique. The baseline for this work is the Cerno project [8] and the clustering algorithm LIMBO [2]. We also present results that compare the output of the clustering algorithm with linguistic indicators created manually for two case studies. 1 URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.6015 http://www.cs.toronto.edu/%7Eperiklis/pubs/nldb08.pdf BASE Hide details

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