323,023 research outputs found
Structural statistics on enterprises with foreign production
No full textThe transition from business accounting to national accounts is carried out in this paper. The institutional units having a predominant economic interest in Italy are identified in particular for the sectors linked to Construction, Civil engineering works and Trade activities. A multivariate analysis of the economic variables (production, labor costs, intermediate consumptions, investments) allows to measure effective performance, both economic and financial, for global enterprises. Fiscal and statistical data with a profiling of these enterprises make possible to select a sub-set of medium and large sized units potentially interested in the phenomenon of foreign branch offices
Obblighi di protezione, contatto sociale e obbligazione contrattuale del medico dipendente
No full textL'autrice affronta il tema della responsabilità del medico dipendente muovendo dalla letteratura tedesca sul contatto sociale e affrontando il tema degli obblighi di protezione, per indagare i possibili risvolti operativi dell'art. 7, 3° comma, L. 24/17, che ammette che la responsabilità del medico dipendente sia contrattuale soltanto ove questi "abbia agito nell'adempimento di un'obbligazione contrattuale assunta con il paziente"
Integrated Indicators for the Analysis of the Italian Social Security System
No full textIn this work we highlight some of the main indicators, characteristics and estimates for the years 2016-2017, strengths and weaknesses, for an integrated analysis of the social security phenomenon in Italy
The unbearable hurtfulness of sarcasm
No full text[EN] In the last decade, the need to detect automatically irony to correctly recognize the sentiment and hate speech involved in online texts increased the investigation on humorous figures of speech in NLP. The slight boundaries among various types of irony lead to think of irony as a linguistic phenomenon that covers sarcasm, satire, humor and parody joined by their trend to create a secondary or opposite meaning to the literal one expressed in the message. Although this commonality, in literature sarcasm is defined as a type of irony more aggressive with the intent to mock or scorn a victim without excluding the possibility to amuse. The aggressive tone and the intent of contempt suggest that sarcasm involves some peculiarities that make it a suitable type of irony to disguise negative messages. To investigate these peculiarities of sarcasm, we examined the dataset of the IronITA shared task. It consists of Italian tweets about controversial social issues, such as immigration, politics and other more general topics. Each tweet is annotated as ironic and non-ironic, and, at a deeper level, as sarcastic and non-sarcastic. Qualitative and quantitative analyses of the dataset showed how sarcasm tends to be expressed with hurtful language revealing the aggressive intention with which the author targets the victim. While irony is characterized by being offensive in hateful context and, in general, moved by negative emotions. For a better understanding of the impact of hurtful and affective language on the detection of irony and sarcasm, we proposed a transformer-based system, called AlBERToIS, combining pre-trained AlBERTo model with linguistic features. This approach obtained the best performances on irony and sarcasm detection on the IronITA dataset.The work of S. Frenda, A.T. Cignarella, C. Bosco and V. Patti was partially funded by VolksWagen Stiftung and Compagnia di San Paolo, Italy under the call "Challenges for Europe'' for the research projects "STudying European Racial Hoaxes and sterEOTYPES'' (STERHEOTYPES, S129542). The work of V. Basile, A.T. Cignarella, C. Bosco and V. Patti was partially funded by Google, Italy under the call "Google.org Impact Challenge on Safety'' for the project "Be Positive!''. Finally, the work of P. Rosso was partially funded by the Spanish Ministry of Science and Innovation, Spain under the research project MISMIS-FAKEnHATE on MISinformation and MIScommunication in social media "FAKE news and HATE speech'' (PGC2018-096212-BC31) and by the Generalitat Valenciana under DeepPattern, Spain (PROMETEO/2019/121).Frenda, S.; Cignarella, AT.; Basile, V.; Bosco, C.; Patti, V.; Rosso, P. (2022). The unbearable hurtfulness of sarcasm. Expert Systems with Applications. 193:1-18. https://doi.org/10.1016/j.eswa.2021.116398S11819
La relazione medico-paziente al vaglio della riforma sanitaria: il ritorno alla responsabilità aquiliana del medico strutturato e l'obbligazione "contrattuale" con il paziente
No full textA fronte della decisione legislativa del 2017 di riportare la responsabilità del medico strutturato all’interno di quella aquiliana, «salvo che abbia agito nell’adempimento di obbligazione contrattuale assunta con il paziente», l’Autrice si domanda quale sia il significato di tale clausola e, in particolare, quello di “obbligazione contrattuale”, al fine di rispondere al quesito se l’intervento della l. Gelli abbia davvero modificato, in ambito medico, le regole sulla natura della responsabilità, da un lato, e la stessa struttura e contenuto dell’obbligazione, dall’altro
Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets
No full text[EN] In the last years, the control of online user generated content is becoming a priority, because of the increase of online aggressiveness and hate speech legal cases. Considering the complexity and the importance of this issue, this paper presents an approach that combines the deep learning framework with linguistic features for the recognition of aggressiveness in Mexican tweets. This approach has been evaluated relying on
a collection of tweets released by the organizers of
the shared task about aggressiveness detection in the
context of the Ibereval 2018 evaluation campaign. The
use of a benchmark corpus allows to compare the
results with those obtained by Ibereval 2018 participant
systems. However, looking at the achieved results,
linguistic features seem not to help the deep learning
classification for this task.The work of Simona Frenda and Paolo Rosso was partially funded by the Spanish MINECO under the research project SomEMBED (TIN2015-71147-C2-1-P).Frenda, S.; Banerjee, S.; Rosso, P.; Patti, V. (2020). Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets. Computación y Sistemas. 24(2):633-643. https://doi.org/10.13053/CyS-24-2-3398S63364324
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Varietà di grano duro per le semine 2012: Sicilia.
No full textAnnata caratterizzata da rese elevate e ottimi pesi ettolitrici. Tra le varietà, le collaudate Tirex e Claudio e la nuova costituzione Marco Aurelio si sono distinte per le rese elevate e stabili, superiori alle medie in tutti gli areali
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