1,721,078 research outputs found
Contrordine. La sovversione del Nouveau Réalisme a partire dagli allestimenti delle loro opere
Full text linkThe text, after an introduction on the arrangements conceived by Marcel Duchamp during the Thirties, focuses on the exhibitions organized by the Nouveau Réalisme between the end of the Fifties and the 1970. All these occasions, based on a chaos of the objects, created a positive confusion but allowed also a “visual revolution” in contemporary art.</p
Fuori e dentro il museo: l’arte del paesaggio agrario negli ultimi cinquant’anni
No full textIl presente contributo, attraverso una ricognizione delle fonti iconografiche e critiche della seconda metà del
XX secolo, mira a restituire il complesso panorama agrario-artistico in seguito alla pubblicazione del testo di
Emilio Sereni. Il saggio si sofferma sul rapporto tra paesaggio agrario e arte contemporanea, e in particolare
sulla situazione italiana nel frangente compreso tra gli anni sessanta e la situazione attuale.
Immaginando metaforicamente la “storia del paesaggio agrario” come un percorso, potremmo dirci di fronte
a un sentiero che, compatto e solido prima, si separa in un secondo momento, per ritornare inne unitario:
l’arte degli anni sessanta, ormai lontana da un compito illustrativo di «testimonianza “involontaria”», si
dimentica quasi della rappresentazione “pura” del paesaggio il quale, a sua volta, diventa espressione della
contemporaneità, entrando nell’ambiente museo
A transformation-driven approach for recognizing textual entailment
No full textTextual Entailment is a directional relation between two text fragments. The relation holds whenever the truth of one text fragment, called Hypothesis (H), follows from another text fragment, called Text (T). Up until now, using machine learning approaches for recognizing textual entailment has been hampered by the limited availability of data. We present an approach based on syntactic transformations and machine learning techniques which is designed to fit well with a new type of available data sets that are larger but less complex than data sets used in the past. The transformations are not predefined, but calculated from the data sets, and then used as features in a supervised learning classifier. The method has been evaluated using two data sets: the SICK data set and the EXCITEMENT English data set. While both data sets are of a larger order of magnitude than data sets such as RTE-3, they are also of lower levels of complexity, each in its own way. SICK consists of pairs created by applying a predefined set of syntactic and lexical rules to its T and H pairs, which can be accurately captured by our transformations. The EXCITEMENT English data contains short pieces of text that do not require a high degree of text understanding to be annotated. The resulting AdArte system is simple to understand and implement, but also effective when compared with other existing systems. AdArte has been made freely available with the EXCITEMENT Open Platform, an open source platform for textual inference
An application of memory studies to museology: the case of Pinacoteca Ambrosiana between the 1960s and the 1990s
No full textInstitutional changes and continuities in the Arab transitions: Egypt, Tunisia and Morocco in comparative perspective
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Museum' space as a home interior: the twentieth century arrangements at the Villa Reale in Milan
No full text"Una piccola reggia delle lettere e delle arti". Allestimenti e restauri alla Pinacoteca Ambrosiana durante il fascismo
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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