2,674 research outputs found
The Classics of the First Lorenzo de' Medici. For a New Critical Reading of Corinth
No full textopenIl presente lavoro si propone di rileggere una delle prime opere di Lorenzo de’ Medici, "Corinto", attraverso temi letterari che lo caratterizzano, tenendo presente i modelli latini, greci e italiani ai quali l’autore attinge e confrontandone altri, pertinenti ai temi analizzati. Dopo una rapida introduzione sul contesto storico in cui il poemetto si inserisce, esso viene presentato per quanto concerne il contenuto e la storia redazionale, approfondita nell’Appendice, dove si presentano inoltre i testi di riferimento. Segue dunque la nuova lettura critica. La riflessione sul concetto di classico e su Lorenzo quale autore e personaggio del poemetto conclude l’analisi.The present work aims to re-read one of Lorenzo de’ Medici’s first works, "Corinto", through the literary themes which characterize it, keeping in mind the Latin, Greek and Italian models on which the author draws and comparing others, pertinent to the themes analyzed. After a quick introduction to the historical context in which the poem fits, it is presented in terms of content and editorial history, detailed in the Appendix, where the reference texts are also presented. Thus follows the new critical reading. The reflection on the concept of classic and on Lorenzo as author and character of the poem concludes the analysis
Can we explain natural language inference decisions taken with neural networks? Inference rules in distributed representations
No full textNatural Language Inference (NLI) is a key, complex task where machine learning (ML) is playing an important role. However, ML has progressively obfuscated the role of linguistically-motivated inference rules, which should be the core of NLI systems. In this paper, we introduce distributed inference rules as a novel way to encode linguistically-motivated inference rules in learning interpretable NLI classifiers. We propose two encoders: the Distributed Partial Tree Encoder and the Distributed Smoothed Partial Tree Encoder. These encoders allow modeling syntactic and syntactic-semantic inference rules as distributed representations ready to be used in ML models over large datasets. Although far from the state-of-the-art of end-to-end deep learning systems on large datasets, our shallow networks positively exploit inference rules for NLI, improving over baseline systems. This is a first positive step towards interpretable and explainable end-to-end deep learning systems
Breve, E Succinto Racconto Del Viaggio, solenne Entrate, & ossequiosi Vasallaggi ... dell'Augustissimo Imperatore Leopoldo ... Principato Nel Mese di Giugno, e finito d'Ottobre L'Anno 1660 ... / Per opera, e studio di Lorenzo De Churelichz Araldo di Sua Maestà Cesarea
No full textHave you lost the thread? Discovering on-going conversations in scattered dialog blocks
No full textFinding threads in textual dialogs is emerging as a need to better organize stored knowledge. We capture this need
by introducing the novel task of discovering on-going conversations in scattered dialog blocks. Our aim in this paper is
twofold. First, we propose a publicly available testbed for the task by solving the insurmountable problem of privacy of Big
Personal Data. In fact, we showed that personal dialogs can be surrogated with theatrical plays. Second, we propose a suite
of computationally light learning models that can use syntactic and semantic features. With this suite, we showed that models
for this challenging task should include features capturing shifts in language use and, possibly, modeling underlying scripts
Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey
No full textNatural language is inherently a discrete symbolic representation of human knowledge. Recent advances in machine learning (ML) and in natural language processing (NLP) seem to contradict the above intuition: discrete symbols are fading away, erased by vectors or tensors called distributed and distributional representations. However, there is a strict link between distributed/distributional representations and discrete symbols, being the first an approximation of the second. A clearer understanding of the strict link between distributed/distributional representations and symbols may certainly lead to radically new deep learning networks. In this paper we make a survey that aims to renew the link between symbolic representations and distributed/distributional representations. This is the right time to revitalize the area of interpreting how discrete symbols are represented inside neural networks
First person – Alba Delrio-Lorenzo
No full textFirst Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Alba Delrio-Lorenzo is first author on ‘Sarcoplasmic reticulum Ca2+ decreases with age and correlates with the decline in muscle function in Drosophila’, published in JCS. Alba is a PhD student in the lab of Javier García-Sancho and María Teresa Alonso at the Instituto de Biología y Genética Molecular (IBGM), University of Valladolid, Spain, investigating the molecular mechanisms implicated in aging, particularly muscle aging.Peer reviewe
[Letter from Lorenzo de Zavala to Antonio Lopez de Santa Anna, March 11, 1828]
No full textLorenzo de Zavala to Antonio Lopez de Santa Anna: On political tensions surrounding the recent revolt by Guerrero and the position taken by the author. (Tlalpan), March 11, 1828
Olmec lithic economy at San Lorenzo
No full textIncludes bibliographical references and index.Examines specialized production for manufacturing obsidian cutting tools at San Lorenzo, Mexico, the first Olmec center in the southern Gulf Coast as Mesoamerica's earliest complex society between 1800-1000 BC. Through systematic analysis of this commodity and importation of raw material, on-site production, and distribution of finished goods.--Provided by publisher.Introducing lithic economy -- The San Lorenzo Olmec -- The Lithic percussion industries of San Lorenzo -- Craft production and pressure blade technology at Puerto Malpica -- Trade and obsidian procurement at San Lorenzo -- Supply side economics: obsidian procurement for craft production at the Malpica Workshop -- The distribution and consumption of obsidian on San Lorenzo Island -- From workshop to consumer: the distribution of obsidian blades from the Malpica workshop -- On the origin and transmission of Mesoamerica obsidian blade technology
A novel wearable for rehabilitation using infrared sensors: A preliminary investigation
No full textIn this paper we outline a novel design of a wireless sensor wearable band for tracking patient movements. This technology and design has potential applications for rehabilitation of stroke survivors who suffer from spasticity in their upper extremities. This technology could be used to track patient movement performed in a non-clinical environment, such as inside the comfort of their home. Data on their treatment progress could be transmitted wirelessly both to the clinician and to the patient. This technology could help realize increased monitoring of the patient, quantitative data on patient improvement over time and decreased health care costs. In this paper we demonstrated a preliminary prototype which can track and distinguish classes of movement of a user performing elbow flexion exercises while seated at a table. A study was completed with 6 participants with classification accuracies up to 88%
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