Search results for " artificial intelligence"
showing 10 items of 1992 documents
Reverse-safe data structures for text indexing
2021
We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z-reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D. The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z, we propose an algorithm which constructs a z-reverse-safe data structure that has size O(n) and answers pattern matching queries of length at most d optim…
Sense Equivalence in plWordNet to Princeton WordNet Mapping
2019
Abstract Though the interest in use of wordnets for lexicography is (gradually) growing, no research has been conducted so far on equivalence between lexical units (or senses) in inter-linked wordnets. In this paper, we present and validate a procedure of sense-linking between plWordNet and Princeton WordNet. The proposed procedure employs a continuum of three equivalence types: strong, regular and weak, distinguished by a custom-designed set of formal, semantic and translational features. To validate the procedure, three independent samples of 120 sense pairs were manually analysed with respect to the features. The results show that synsets from the two wordnets linked by interlingual syno…
An Efficient Cooperative Smearing Technique for Degraded Historical Documents Images Segmentation
2020
Segmentation is one of the critical steps in historical document image analysis systems that determines the quality of the search, understanding, recognition and interpretation processes. It allows isolating the objects to be considered and separating the regions of interest (paragraphs, lines, words and characters) from other entities (figures, graphs, tables, etc.). This stage follows the thresholding, which aims to improve the quality of the document and to extract its background from its foreground, also for detecting and correcting the skew that leads to redress the document. Here, a hybrid method is proposed in order to locate words and characters in both handwritten and printed docu…
An Interactive Framework for Offline Data-Driven Multiobjective Optimization
2020
We propose a framework for solving offline data-driven multiobjective optimization problems in an interactive manner. No new data becomes available when solving offline problems. We fit surrogate models to the data to enable optimization, which introduces uncertainty. The framework incorporates preference information from a decision maker in two aspects to direct the solution process. Firstly, the decision maker can guide the optimization by providing preferences for objectives. Secondly, the framework features a novel technique for the decision maker to also express preferences related to maximum acceptable uncertainty in the solutions as preferred ranges of uncertainty. In this way, the d…
Channel Choice Complications
2019
In spite of massive investment and increased adoption of digital services, citizens continue to use traditional channels to interact with public organizations. The channel choice (CC) field of research tries to understand citizens’ interactions with public authorities to make the interaction more efficient and increase citizen satisfaction. However, most studies have been conducted either as surveys of hypothetical services or in experimental settings, leading to a lack of empirical data from actual use contexts. Therefore, we present the results of a sequential mixed methods study which combines observations of citizen-caseworker interaction in a call center, contextual interviews with cal…
Deep neural attention-based model for the evaluation of italian sentences complexity
2020
In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.
A Clustering approach for profiling LoRaWAN IoT devices
2019
Internet of Things (IoT) devices are starting to play a predominant role in our everyday life. Application systems like Amazon Echo and Google Home allow IoT devices to answer human requests, or trigger some alarms and perform suitable actions. In this scenario, any data information, related device and human interaction are stored in databases and can be used for future analysis and improve the system functionality. Also, IoT information related to the network level (wireless or wired) may be stored in databases and can be processed to improve the technology operation and to detect network anomalies. Acquired data can be also used for profiling operation, in order to group devices according…
Developing an Analytical Framework for Analyzing and Comparing National E-Government Strategies
2020
Part 1: E-Government Foundations; International audience; Across the world, e-government strategies are developed for the effective digitalization of the public sector. They offer governments a framework for dealing with challenges such as technical and legal interoperability and collaboration between public and private sector stakeholders, and for promoting a future vision for a digital public sector. Since e-government strategies are policy document and, thus, likely to convey biased perspectives, analyses of these strategies can yield insights into these biases and different perspectives on public sector digitalization. Until now, there has been no widely recognized framework for systema…
Książę Niccola Machiavellego jako przykład zastosowania toposu zakulisowości
2019
Aby wyjaśnić fenomen popularności Księcia Niccola Machiavellego, należy wskazać na osobliwy sposób komunikowania się autora tego dzieła z czytelnikiem. Autor przedstawia siebie jako fachowca z dziedziny sztuki politycznej, za swoich czytelników zaś chce mieć jedynie tych, którzy, jak on, znają się na rzeczy. Charakterystyczny zimny i, z pozoru przynajmniej, nieozdobny styl, jakim posługuje się autor Księcia, podkreśla dodatkowo profesjonalny i nieosobisty stosunek pisarza do przedmiotu jego rozważań. W kategoriach teorii retorycznej taki sposób komunikowania się daje się opisać jako poszukiwanie okrężnych dróg do tego, co Kenneth Burke określał mianem konsubstancjacji retorycznej. Mówca sta…
Sincerity in Lithuanian epistolarity: Between truth and emotion
2020
AbstractThis paper investigates the lexical representation of sincerity in Lithuanian epistolarity throughout the twentieth century. Drawing on data from the corpus of Lithuanian letters and employing the techniques of corpus, statistical and philological analysis, this paper explores the use, frequency and context of occurrence of the four sets of lexical stems: atvir- (‘open’, ‘frank’), nuošird- (‘sincere’, ‘honest’), šird- (‘heart’), and tikr- (‘authentic’, ‘genuine’, ‘real’). As each of these lexical stems foreground different semantic shades of sincerity, they are treated in this paper as lexical variables that inscribe different degrees of an author’s sincere attitude (stance) toward …