Hasil untuk "Oratory. Elocution, etc."

Gloria Scarfone

Perché negli ultimi anni sempre più scrittrici e scrittori hanno sentito il bisogno di raccontare storie basate su fatti realmente accaduti? In che modo le narratrici e i narratori italiani si confrontano con l’onnipresenza e il potere di persuasione del discorso mediatico? Come si configura oggi il complesso rapporto tra letteratura e giornalismo? Il saggio prova a rispondere a queste domande attraverso l’analisi di tre recenti libri italiani: Veleno di Pablo Trincia (2019), Willy di Christian Raimo (2023) e Yara di Giuseppe Genna (2023).

Nikita Samsonov

This paper examines the role of sound as a narrative device in the films of Austrian-American director Fritz Lang. Incorporating several methodological treatments of audio, as well as classic literary narratology and media studies, the acoustics and spatial landscapes of Lang’s filmography and its narratives are analysed, establishing ways in which sound helps Lang build theme, mood, and meaning. After his early intermedial avant-garde experiments, the director’s technique of constructing complex sonic environments gradually evolved into a more simplified, and at times even mundane, auditory landscape that can be observed in his later films. This shift is indicative of the overall development of sound usage in cinema, but it also relates to Lang’s career trajectory as he fled Germany for the U.S. to be at the forefront of establishing film noir. Despite these later developments, Fritz Lang remains one of the first directors to achieve a meaningful unity of sound and image, reinventing the film experience.

Luca Clerici

L'articolo studia il ruolo delle conferenze di Antonio Stoppani nel contesto della divulgazione scientifica tra Otto e Novecento, affiancandole a quelle di altri scienziati e letterati dell'epoca e valutandone la diffusione editoriale, che dimostra come il genere fosse una forma popolare e influente di comunicazione del sapere. Analizzando le strategie retoriche e strutturali adottate da Stoppani per rendere accessibili e coinvolgenti le sue lezioni emerge la centralità della raccolta di conferenze Acqua ed aria rispetto alla sua produzione più strettamente scientifica e alla sua opera più popolare, Il Bel Paese, con il passaggio da un linguaggio specialistico a quello divulgativo. Infine, si evidenzia l’evoluzione del genere conferenza e il suo forte impatto sulla formazione di una coscienza scientifica nella società italiana del tempo.

Kento Kawaharazuka, Kei Tsuzuki, Moritaka Onitsuka et al.

The flexible musculoskeletal hand is difficult to modelize, and its model can change constantly due to deterioration over time, irreproducibility of initialization, etc. Also, for object recognition, contact detection, and contact control using the hand, it is desirable not to use a neural network trained for each task, but to use only one integrated network. Therefore, we develop a method to acquire a sensor state equation of the musculoskeletal hand using a recurrent neural network with parametric bias. By using this network, the hand can realize recognition of the grasped object, contact simulation, detection, and control, and can cope with deterioration over time, irreproducibility of initialization, etc. by updating parametric bias. We apply this study to the hand of the musculoskeletal humanoid Musashi and show its effectiveness.

Aishik Rakshit, Samyak Mehta, Anirban Dasgupta

Optical Character Recognition (OCR) technology finds applications in digitizing books and unstructured documents, along with applications in other domains such as mobility statistics, law enforcement, traffic, security systems, etc. The state-of-the-art methods work well with the OCR with printed text on license plates, shop names, etc. However, applications such as printed textbooks and handwritten texts have limited accuracy with existing techniques. The reason may be attributed to similar-looking characters and variations in handwritten characters. Since these issues are challenging to address with OCR technologies exclusively, we propose a post-processing approach using Natural Language Processing (NLP) tools. This work presents an end-to-end pipeline that first performs OCR on the handwritten or printed text and then improves its accuracy using NLP.

Yiteng Xu, Peishan Cong, Yichen Yao et al.

Human-centric scene understanding is significant for real-world applications, but it is extremely challenging due to the existence of diverse human poses and actions, complex human-environment interactions, severe occlusions in crowds, etc. In this paper, we present a large-scale multi-modal dataset for human-centric scene understanding, dubbed HuCenLife, which is collected in diverse daily-life scenarios with rich and fine-grained annotations. Our HuCenLife can benefit many 3D perception tasks, such as segmentation, detection, action recognition, etc., and we also provide benchmarks for these tasks to facilitate related research. In addition, we design novel modules for LiDAR-based segmentation and action recognition, which are more applicable for large-scale human-centric scenarios and achieve state-of-the-art performance.

Silvia Rezzonico

Orlando Furioso di Ludovico Ariosto raccontato da Italo Calvino, quando fu pubblicato nel 1970, fu presentato come una «guida alla lettura» del poema. Il presente contributo si propone di superare questa etichetta e di dimostrare non solo che la riscrittura calviniana dell’Orlando Furioso, sebbene nata in funzione del poema di Ariosto, è un’opera letteraria autonoma, ma anche che tale considerazione è la chiave per comprenderne il successo quale strumento di divulgazione. Calvino e la casa editrice Einaudi identificarono nella riscrittura da parte di un autore contemporaneo un «tipo nuovo di mediazione» tra pubblico e classici: una narrazione originale, senza attitudine pedagogica verso i lettori, in dialogo con il poema di Ariosto. L’analisi dell’opera sarà condotta attraverso la ricostruzione della sua genesi, le osservazioni sullo stile e le modalità di riscrittura, la disamina delle relazioni del testo con la produzione calviniana coeva, in particolare quella di argomento ariostesco.

Giovanni Vito Distefano

In La terra dei figli (2016) Gipi propone implicitamente, tra le righe di un racconto post-apocalittico, una riflessione critica sulla scrittura, sugli usi e sui rischi di questa risorsa comunicativa e sulla sua rilevanza quale architrave culturale fondamentale della nostra civiltà. Il contributo indaga questo tema attivando il potenziale ermeneutico di un classico come lo studio di Ernesto De Martino sulle apocalissi culturali e con l’accortezza metodologica di collocare l’opera di Gipi entro la vivace produzione attuale di narrazioni post-apocalittiche – e fra queste, in particolare, di quelle che hanno come protagonisti giovanissimi adulti o adolescenti. Di quest’ultime, complessivamente associate entro il genere ibrido del romanzo post-apocalittico di formazione, si propone un’interpretazione in termini di forma simbolica della post-modernità, secondo il modello teorico-metodologico di Franco Moretti. Emerge in conclusione un atteggiamento di rassicurante riproposizione dei valori culturali della civiltà contemporanea, pur nel contesto dell’immaginario apocalittico, ricco in potenza di valenze critiche e polemiche.

Rossella Liuzzo

Entre los procesos de ‘autorización’ de dramaturgas y obras que aún se consideran ‘menores’, las traducciones y las adaptaciones representan manipulaciones virtuosas capaces de socavar y renovar el sistema de valores que determinan las instancias de canonicidad. El presente artículo se propone explorar algunas derivas contemporáneas de la comedia El conde Partinuplés (1653) de Ana Caro y los dos primeros entreactos en prosa de la Tragicomedia de los jardines y campos sabeos (1624-1628) de Feliciana Enríquez de Guzmán. En concreto, se explorará el ‘doble’ proceso de reescritura realizada por el traductor y dramaturgo Harley Erdman quien, si por una parte tradujo las mencionadas obras al inglés, incluyéndolas en el volumen Women Playwrights of Early Modern Spain (2016), por otra las adaptó, fusionándolas, en una original ‘refundición’ titulada Suitors (2013).

Chak Fong Chong, Yapeng Wang, Benjamin Ng et al.

Classification on smartphone-captured chest X-ray (CXR) photos to detect pathologies is challenging due to the projective transformation caused by the non-ideal camera position. Recently, various rectification methods have been proposed for different photo rectification tasks such as document photos, license plate photos, etc. Unfortunately, we found that none of them is suitable for CXR photos, due to their specific transformation type, image appearance, annotation type, etc. In this paper, we propose an innovative deep learning-based Projective Transformation Rectification Network (PTRN) to automatically rectify CXR photos by predicting the projective transformation matrix. To the best of our knowledge, it is the first work to predict the projective transformation matrix as the learning goal for photo rectification. Additionally, to avoid the expensive collection of natural data, synthetic CXR photos are generated under the consideration of natural perturbations, extra screens, etc. We evaluate the proposed approach in the CheXphoto smartphone-captured CXR photos classification competition hosted by the Stanford University Machine Learning Group, our approach won first place with a huge performance improvement (ours 0.850, second-best 0.762, in AUC). A deeper study demonstrates that the use of PTRN successfully achieves the classification performance on the spatially transformed CXR photos to the same level as on the high-quality digital CXR images, indicating PTRN can eliminate all negative impacts of projective transformation on the CXR photos.

Liying Cheng, Lidong Bing, Ruidan He et al.

Traditionally, a debate usually requires a manual preparation process, including reading plenty of articles, selecting the claims, identifying the stances of the claims, seeking the evidence for the claims, etc. As the AI debate attracts more attention these years, it is worth exploring the methods to automate the tedious process involved in the debating system. In this work, we introduce a comprehensive and large dataset named IAM, which can be applied to a series of argument mining tasks, including claim extraction, stance classification, evidence extraction, etc. Our dataset is collected from over 1k articles related to 123 topics. Near 70k sentences in the dataset are fully annotated based on their argument properties (e.g., claims, stances, evidence, etc.). We further propose two new integrated argument mining tasks associated with the debate preparation process: (1) claim extraction with stance classification (CESC) and (2) claim-evidence pair extraction (CEPE). We adopt a pipeline approach and an end-to-end method for each integrated task separately. Promising experimental results are reported to show the values and challenges of our proposed tasks, and motivate future research on argument mining.

Yanzeng Li, Zilong Zheng, Wenjuan Han et al.

Semantic Web technology has successfully facilitated many RDF models with rich data representation methods. It also has the potential ability to represent and store multimodal knowledge bases such as multimodal scene graphs. However, most existing query languages, especially SPARQL, barely explore the implicit multimodal relationships like semantic similarity, spatial relations, etc. We first explored this issue by organizing a large-scale scene graph dataset, namely Visual Genome, in the RDF graph database. Based on the proposed RDF-stored multimodal scene graph, we extended SPARQL queries to answer questions containing relational reasoning about color, spatial, etc. Further demo (i.e., VGStore) shows the effectiveness of customized queries and displaying multimodal data.

Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari et al.

Recommendation in the fashion domain has seen a recent surge in research in various areas, for example, shop-the-look, context-aware outfit creation, personalizing outfit creation, etc. The majority of state of the art approaches in the domain of outfit recommendation pursue to improve compatibility among items so as to produce high quality outfits. Some recent works have realized that style is an important factor in fashion and have incorporated it in compatibility learning and outfit generation. These methods often depend on the availability of fine-grained product categories or the presence of rich item attributes (e.g., long-skirt, mini-skirt, etc.). In this work, we aim to generate outfits conditional on styles or themes as one would dress in real life, operating under the practical assumption that each item is mapped to a high level category as driven by the taxonomy of an online portal, like outdoor, formal etc and an image. We use a novel style encoder network that renders outfit styles in a smooth latent space. We present an extensive analysis of different aspects of our method and demonstrate its superiority over existing state of the art baselines through rigorous experiments.

Essam Mansour, Kavitha Srinivas, Katja Hose

Similar to Open Data initiatives, data science as a community has launched initiatives for sharing not only data but entire pipelines, derivatives, artifacts, etc. (Open Data Science). However, the few efforts that exist focus on the technical part on how to facilitate sharing, conversion, etc. This vision paper goes a step further and proposes KEK, an open federated data science platform that does not only allow for sharing data science pipelines and their (meta)data but also provides methods for efficient search and, in the ideal case, even allows for combining and defining pipelines across platforms in a federated manner. In doing so, KEK addresses the so far neglected challenge of actually finding artifacts that are semantically related and that can be combined to achieve a certain goal.

Vivek Srivastava, Mayank Singh

Code-mixing is the phenomenon of using multiple languages in the same utterance of a text or speech. It is a frequently used pattern of communication on various platforms such as social media sites, online gaming, product reviews, etc. Sentiment analysis of the monolingual text is a well-studied task. Code-mixing adds to the challenge of analyzing the sentiment of the text due to the non-standard writing style. We present a candidate sentence generation and selection based approach on top of the Bi-LSTM based neural classifier to classify the Hinglish code-mixed text into one of the three sentiment classes positive, negative, or neutral. The proposed approach shows an improvement in the system performance as compared to the Bi-LSTM based neural classifier. The results present an opportunity to understand various other nuances of code-mixing in the textual data, such as humor-detection, intent classification, etc.

Salvatore Monda

A partire dalla Grecia arcaica gli enigmi e gli indovinelli trovano la loro collocazione ideale nell’istituto del simposio. In epoche più recenti si sviluppano teorie e classificazioni ad opera dei retori. Oggi possediamo un buon numero di indovinelli antichi e anche diverse testimonianze che, malgrado il più delle volte sembrino indirizzarci verso un’idea dell’enigma legata al gioco e alla sfida tra due o più contendenti, restano tuttavia saldamente ancorate alla tradizione artistica e letteraria da cui dipendono. Questo studio è finalizzato a comprendere se e in che misura dalle testimonianze antiche si possano ricavare tracce di veri e propri contesti agonali al di fuori dello spazio letterario dei Greci e dei Romani. Starting from archaic Greece, enigmas and riddles find their ideal place in the symposium. In more recent times ancient theories and classifications were developed by rhetoricians. Today we have a good number of ancient riddles and also numerous testimonies. Although the latter often seem to lead us towards an idea of the enigma linked to the game and the challenge between two or more contenders, they remain firmly anchored in the artistic and literary tradition on which they depend. This study is aimed at understanding whether, and to what extent, from ancient evidence we can derive traces of real agonal contexts outside the literary space of the Greeks and Romans.

Giulia Martini

Recensione a Comparini, Alberto. Un genere letterario in diacronia. Forme e metamorfosi del dialogo nel Novecento. Edizioni Fiorini, 2018.

Carlo Alessandro Caccia

Recensione di Scaffai, Niccolò. Letteratura e ecologia. Forme e temi di una relazione narrativa. Carocci, 2017.   Review of Scaffai, Niccolò. Letteratura e ecologia. Forme e temi di una relazione narrativa. Carocci, 2017.

Madhusudan Singh, Shiho Kim

In the coming years, transportation system will be revamped in a manner that there will be more intelligent and autonomous vehicle phenomenon around us such as smart cars, auto driving system, etc. Some of automotive industries are already producing smart cars. However, the main concern of this paper is on the infrastructure for connected vehicles, which can support such intelligent transportation. Current transportation system lacks proper infrastructure to support connected vehicles. Hence, in this article, we have surveyed and analyzed the current transportation system in developed and developing countries. In contrast, we are going to introduce secure intelligent transportation (roadside) infrastructure that is user centric (Driver, Autonomous driver etc.) for connected vehicles. In this paper we present the basic requirements of safety engineering infrastructure of roadside infrastructure in ITS for connected vehicles. Connected vehicles has network infrastructure to communicate with vehicle-to-vehicle (V-to-V), vehicle-to-infrastructure (V-to-I), lane correction system, and traffic information system etc. The connected vehicle is a good model for learning demands of infrastructure for ITS process because the system having a lot of use-cases and we must understand relationship between public institutions, people, companies in order to proceed ITS System.

S. G. Dani

We discuss the understanding of geometry of the circle in ancient India, in terms of enunciation of various principles, constructions, applications etc. during various phases of history and cultural contexts.