1,158 research outputs found
Velardi e figlio
No full textRicostruzione storica dell'attività libraria ed editoriale di Velardi e figlio con riferimento agli autori e ai libri educativi e scolastici e i modelli formativi di riferimento della produzione
Metodi di insegnamento nelle scuole di retorica in Grecia tra V e IV secolo a.C.,
No full textL’insegnamento della retorica in Grecia nel V/IV secolo a.C. si basava sulla memorizzazione di testi fittizi composti dai maestri, che esemplificavano le norme teoriche
Citizen education by involvement in marine biodiversity monitoring.
No full textCITIZEN EDUCATION BY INVOLVEMENT IN MARINE BIODIVERSITY MONITORING
S. Goffredo, P. Neri, A. Orlandi, F. Pensa, M. Scola Gagliardi, A. Velardi, C. Piccinetti, F.
Zaccant
Finding a domain-appropriate sense inventory for semantically tagging a corpus
No full textSemantically tagging a corpus is useful for many intermediate NLP tasks such as: acquisition
of word argument structures in sublanguages; acquisition of syntactic disambiguation cues;
terminology learning; etc. The general idea is that semantic tags allow the generalization of
observed word patterns, and facilitate the discovery of recurrent sublanguage phenomena and
selectional rules of various types. Yet, as opposed to POS tags in morphology, there is no
consensus in the literature about the type and granularity of the semantic tags to be used. In
this paper, we argue that an appropriate selection of semantic tags should be domain-dependent. We propose a method by which we select from WordNet an inventory of semantic
tags that are ‘optimal’ for a given corpus, according to a scoring
function defined as a linear
combination of general and corpus-dependent performance factors. We believe that an optimal
selection of a category inventory is a necessary premise for obtaining better results in all
lexically learning algorithms that are based on, or concerned with, semantic categorization of
words. Furthermore, an adequate inventory (one which intuitively ‘fits’ with the semantics of
a domain, e.g. phenomenon for Natural Science, or part, piece for a technical handbook) may
facilitate the manual annotation of large corpora.</jats:p
A Statistical Technique for Bootstrapping Available Resources for Proper Nouns Classification
No full textDescribes an algorithm for improving the performance of unknown proper noun recognizers, using a statistical framework. We present a bootstrapping technique that starts out by using a training set to acquire contextual classification cues, and then uses the results of the initial phase to acquire additional training data from an unlabeled corpus. The training set (tagged proper nouns in contexts) is obtained trough an application of standard knowledge-based techniques for proper noun tagging, commonly used in information extraction systems
Monitoring of the primary drying of a lyophilization process in vials
No full textAn innovative and modular system (LyoMonitor) for monitoring the primary drying of a lyophilization process in vials is illustrated: it integrates some commercial devices (pressure gauges, moisture sensor and mass spectrometer), an innovative balance and a manometric temperature measurement system based on an improved algorithm (DPE) to estimate sublimating interface temperature and position, product temperature profile, heat and mass transfer coefficients. A soft-sensor using a multipoint wireless thermometer can also estimate the previous parameters in a large number of vials. The performances of the previous devices for the determination of the end of the primary drying are compared. Finally, all these sensors can be used for control purposes and for the optimization of the process recipe; the use of DPE in a control loop will be shown as an exampl
A Theoretical Analysis of Context-based Learning Algorithms for Word Sense Disambiguation
No full text- …
