1,337 research outputs found
Exploiting Emotive Features for the Sentiment Polarity Classification of tweets
No full textThis paper describes the CoLing Lab system for the participation in the constrained run of the EVALITA 2016 SENTIment POLarity Classification Task (Barbieri et al., 2016). The system extends the approach in (Passaro et al., 2014) with emotive features extracted from ItEM (Passaro et al., 2015; Passaro and Lenci, 2016) and FB-NEWS15 (Passaro et al., 2016)
Emo2Val: Inferring Valence Scores from fine-grained Emotion Values
No full textThis paper studies the relationship between the valence, one of the psycholinguistic variables in the Italian version of ANEW (Montefinese et al., 2014), and emotive scores calculated by exploiting
distributional methods (Passaro et al., 2015). We show two methods to infer valence from fine grained emotions and discuss their evaluation
Preface to the fifth Workshop on Natural Language for Artificial Intelligence (NL4AI)
No full textPreface to the fifth Workshop on Natural Language for Artificial Intelligence (NL4AI
CAPISCO @ CONcreTEXT 2020: (Un)supervised Systems to Contextualize Concreteness with Norming Data
No full textThis paper describes several approaches to the automatic rating of the concreteness of concepts in context, to approach the EVALITA 2020 “CONcreTEXT” task. Our systems focus on the interplay between words and their surrounding context by (i) exploiting annotated resources, (ii) using BERT masking to find potential substitutes of the target in specific contexts and measuring their average similarity with concrete and abstract centroids, and (iii) automatically generating labelled datasets to fine tune transformer models for regression. All the approaches have been tested both on English and Italian data. Both the best systems for each language ranked second in the task
Preface to the Sixth Workshop on Natural Language for Artificial Intelligence (NL4AI)
No full textNatural Language Processing (NLP) is an important research topic in Artificial Intelligence (AI), as it is the target of different scientific and industrial interests. Natural Language is at the crossroad of Learning, Knowledge Representation, and Cognitive Modeling. Several recent AI achievements have repeatedly shown their beneficial impact on complex inference tasks, with huge application perspectives in linguistic modeling, processing, and inferences. However, Natural Language Understanding is still a rich research topic, whose cross-fertilization spans
a number of independent areas such as Cognitive Computing, Robotics as well as HumanComputer Interaction. For AI, Natural Languages are the research focus of paradigms and applications but, at the same time, they act as cornerstones of automation, autonomy, and learnability for most intelligent phenomena ranging from Vision to Planning and Social Behaviors. A reflection about such diverse and promising interactions is an important target for current AI studies, fully in the core mission of AI*IA. This workshop, supported by the Special Interest Group on NLP of AI*IA1 and by the Italian Association of Computational Linguistics
(AILC)2, aims at providing a broad overview of recent activities in the eld of Human Language Technologies (HLT) in Italy. In this context, the organization of NL4AI 2021 [1] provided researchers with the opportunity to share experiences and insights about AI applications focused on NLP in several domains. The 2022 edition of NL4AI is co-located with the 21th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), taking place on November 30th in Udine, Italy. The program of the meeting is available on the official workshop
website3. We received 17 submissions, 14 of which were accepted after peer-review
TO BUILD WITH STRAW: A SUSTAINABLE FUTURE
No full textBuild with straw bale, today, is an innovative way of building, ensuring a high living comfort, in line with sustainability.
The first straw buildings are much older than we image. Nowadays, a recurring topic is looking to the past to find a better future. As Arthur Pinero Ala writes: “I believe that the future is the past that it goes inside from another entrance”. The memory has many answers, sometimes with many contradictions. Reflect on the story’s lesson means rediscovering and reinterpreting to make greater awareness.
Subject of research and experimentation is the straw. Straw presents may capacities.
Different features have been recognized in the bales. One is that it has a good level of stress resistance. They have performed laboratory tests with a wall made by straw bales (3,6 m long; 2,4 height). The resistance to breakage was about equal 48.000kg/mq, for bales positioned flat, otherwise it was about equal 13.500 kg/mq, for bales positioned length.
Furthermore, straw has good resistance to the forces of the earthquake. In fact, straw is flexible, strong, ductile and lightweight, with a good width-to-height ratio and it becomes ideal for earthquake resistant construction, making sure that the connections between foundations and roofs are properly implemented. Shortly after the earthquake, the straw bale comes back to the initial configuration.
Straw has a good fire resistance, as the Italian said flash in the pan. This said exhales the behavior of the straw exposed to fire. As a matter of fact, it emits a lot of smoke (that it has a low content of CO2) because straw does not burn as it’s a dry plant and then died.
A wall resists up to 90 minutes with fire to 1000 °C.
Straw has good thermal proprieties too because it’s packaged with very large thicknesses. A straw bale positioned flat has a transmittance value of about 0.13 W/mqK.
The straw’s spread is favoured because straw is waste material, abundance, cheap and zero kilometre material, added value for sustainability. It has no cost of transformation because the switch from waste material to construction raw material is immediate. The use of straw in construction requires a low technological level and it allows to activate self-constructing and "do-it-yourself" processes.
The construction of the building is very fast compared to a traditional concrete construction.
Last but not least, a straw bale construction results in a saving of 10/15 %. This saving continues over time with energy savings too.
As discussed above, the use of straw offers several advantages, however, contrasted with an attitude of widespread scepticism towards a "poor" technology. Its poor diffusion can compromise its economy. However, the evaluations made are an incentive for dissemination, especially in the place where this way of building belongs to tradition. belonging to the places is an added value to sustainability. The use of past techniques, today, one of the thinnest logic of innovation that looks to the past, with the awareness of the potential of current techniques and mechanisms that govern behaviors
EVALITA 2020: Overview of the 7th evaluation campaign of natural language processing and speech tools for Italian
No full textThe Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (EVALITA) is the biennial initiative aimed at promoting the development of language and speech technologies for the Italian language. EVALITA is promoted by the Italian Association of Computational Linguistics (AILC) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA) and the Italian Association for Speech Sciences (AISV).
EVALITA provides a shared framework where different systems and approaches can be scientifically evaluated and compared with each other with respect to a large variety of tasks, suggested and organized by the Italian research community. The proposed tasks represent scientific challenges where methods, resources, and systems can be tested against shared benchmarks representing linguistic open issues or real world applications, possibly in a multilingual and/or multi-modal perspective. The collected data
sets provide big opportunities for scientists to explore old and new problems concerning NLP in Italian as well as to develop solutions and to discuss the NLP-related issues within the community. Some tasks are traditionally present in the evaluation campaign, while others are completely new.
This paper introduces the tasks proposed at EVALITA 2020 and provides an overview to the participants and systems whose descriptions and obtained results are reported in these Proceedings
'La necropoli del Migliaro a Cales. Materiali di età arcaica'
No full textStudio della necropoli italica del Migliaro (Cales)attraverso l'inquadramento dei materiali in essa rinvenuti e la contestualizzazione storico-topografica del sito.
F.G. è autore di:
tipologia degli ornamenti in metallo;
studio di tutti i corredi tombali;
Capitolo di sintesi 'Considerazioni conclusive
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