Search results for "Information"

showing 10 items of 14916 documents

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…

050101 languages & linguisticsLinguistics and LanguageCommunicationmedia_common.quotation_subject05 social sciencesConsubstantiation02 engineering and technologyMoralityObject (philosophy)Language and LinguisticsSOCRATESlcsh:Social Scienceslcsh:HPoliticsCynicismAesthetics0202 electrical engineering electronic engineering information engineeringRhetorical question020201 artificial intelligence & image processing0501 psychology and cognitive sciencesSociologyRelation (history of concept)media_commonRes Rhetorica
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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 …

050101 languages & linguisticsLinguistics and LanguageCommunicationmedia_common.quotation_subject05 social sciencesSincerity02 engineering and technologyLithuanianLanguage and Linguisticslanguage.human_languageAesthetics0202 electrical engineering electronic engineering information engineeringlanguage020201 artificial intelligence & image processing0501 psychology and cognitive sciencesSociologymedia_commonMultilingua
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Continuous and discontinuous nominal expressions in flexible (or “free”) word order languages: Patterns and correlates

2020

AbstractThis study explores continuous and discontinuous word order patterns of multi-word nominal expressions in flexible word order languages (traditionally referred to as “free word order” or “non-configurational” languages). Besides describing syntagmatic patterns, this paper seeks to identify any functional or other correlates that can be associated with different word orders. The languages under investigation are a number of Australian languages as well as Vedic Sanskrit, all of which have long been known for their syntagmatic flexibility. With respect to continuous order, evidence from several of these languages suggests that default ordering is primarily governed by functional templ…

050101 languages & linguisticsLinguistics and LanguageComputer science05 social sciencesInformation structureVedic SanskritLanguage and LinguisticsLinguisticsNoun phraselanguage.human_languageFocus (linguistics)030507 speech-language pathology & audiology03 medical and health sciencesDiscontinuity (linguistics)language0501 psychology and cognitive sciences0305 other medical scienceWord orderLinguistic Typology
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Recognising mitigation: Three tests for its identification

2020

Abstract Linguistic mitigation is a pragmatic phenomenon that has been profusely treated in the literature, and yet there are few studies dedicated exclusively to offering methodological criteria for its recognition and analysis (but see Albelda, 2010 and Albelda et al., 2014). Consequently, the researcher must infer the methods for its recognition through problems arising during the analysis or through the examples and reflections offered by the authors who have addressed the issue. The purpose of this article is twofold. Firstly, to present some of the main keys for the recognition of mitigation presented by the bibliography, such as the catalogues of mitigation devices, the context, the …

050101 languages & linguisticsLinguistics and LanguageLingüísticaanalysisComputer scienceManagement science05 social sciencesFace (sociological concept)methodologyContext (language use)050105 experimental psychologyLanguage and LinguisticsCommutation testTest (assessment)Conjunction (grammar)mitigationIdentification (information)Artificial IntelligenceOrder (exchange)Phenomenontests0501 psychology and cognitive sciences
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Risks in neural machine translation

2020

Abstract The new paradigm of neural machine translation is leading to profound changes in the translation industry. Surprisingly good results have led to high expectations; however, there are substantial risks that have not yet been sufficiently taken into account. Risks exist on three levels: first, what kind of damage can clients and end users incur in safety-critical domains if the NMT result contains errors; second, who is liable for damage caused by the use of NMT; third, what cyber risks can the use of NMT entail, especially when free online engines are used. When establishing sustainable measures to reduce such risks, we also need to consider general principles of human behaviour if …

050101 languages & linguisticsLinguistics and LanguageLiterature and Literary TheoryMachine translationEnd userComputer scienceCommunication05 social sciences02 engineering and technologycomputer.software_genreLanguage and LinguisticsRisk analysis (engineering)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0501 psychology and cognitive sciencescomputerLanguage industryFair MT
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A Mission for MARS: The Success of Climate Change Skeptic Rhetoric in the US

2020

Radio and television broadcasters accuse climate scientists of “promoting a global warming hoax”, recommending that they be “named and fi red, drawn and quartered” (Rush Limbaugh); commit “hara kiri” (Glenn Beck); and be “publicly flogged” (Mark Morano). Conservative media are crucial in promoting climate skepticism. Likewise, climate skepticism resonates well with white middle-class men. But why does the middle class continue to support “radical” positions? This article focuses on Anti-Intellectualism to explain why climate skeptic rhetoric resonates with “Middle American Radicals” (MARS).

050101 languages & linguisticsLinguistics and LanguageWhite (horse)Middle classHoaxCommunicationmedia_common.quotation_subject05 social sciencesGlobal warmingClimate changeEnvironmental ethics02 engineering and technologyCommitLanguage and Linguisticslcsh:Social Scienceslcsh:HPolitical scienceRhetoric0202 electrical engineering electronic engineering information engineeringVDP::Samfunnsvitenskap: 200020201 artificial intelligence & image processing0501 psychology and cognitive sciencesmedia_commonSkepticism
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Recycling a genre for news automation: The production of Valtteri the Election Bot

2020

Abstract The amount of available digital data is increasing at a tremendous rate. These data, however, are of limited use unless converted into a user-friendly form. We took on this task and built a natural language generation (NLG) driven system that generates journalistic news stories about elections without human intervention. In this paper, after presenting an overview of state-of-the-art technologies in NLG, we explain systematically how we identified and then recontextualized the determinant aspects of the genre of an online news story in the algorithm of our NLG software. In the discussion, we introduce the key results of a user test we carried out and some improvements that these re…

050101 languages & linguisticsLinguistics and LanguageuutisetComputer scienceNLGmedia_common.quotation_subject050801 communication & media studiesjournalismLanguage and LinguisticsField (computer science)Task (project management)luonnollinen kieliWorld Wide Webautomaatio0508 media and communicationsnews automationgenretekstityypit0501 psychology and cognitive sciencesmedia_commonbusiness.industry05 social sciencesNatural language generationUsability113 Computer and information sciencesPunctuationnatural language generationkoneoppiminenjournalismiThe InternetJournalismComputational linguisticsbusiness
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Generating incremental type services

2019

In this vision paper, we propose a method for generating fully functional incremental type services from declarations of type rules. Our general strategy is to translate type rules into Datalog, for which efficient incremental solvers are already available. However, many aspects of type rules don't naturally translate to Datalog and need non-trivial translation. We demonstrate that such translation may be feasible by outlining the translation rules needed for a language with typing contexts (name binding) and bidirectional type rules (local type inference). We envision that even rich type systems of DSLs can be incrementalized by translation to Datalog in the future.

050101 languages & linguisticsLocal typeProgramming languageComputer science05 social sciencesName bindingInference02 engineering and technologyType (model theory)Translation (geometry)computer.software_genreDatalog0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0501 psychology and cognitive sciencescomputercomputer.programming_languageProceedings of the 12th ACM SIGPLAN International Conference on Software Language Engineering
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A New Paradigm in Interactive Evolutionary Multiobjective Optimization

2020

Over the years, scalarization functions have been used to solve multiobjective optimization problems by converting them to one or more single objective optimization problem(s). This study proposes a novel idea of solving multiobjective optimization problems in an interactive manner by using multiple scalarization functions to map vectors in the objective space to a new, so-called preference incorporated space (PIS). In this way, the original problem is converted into a new multiobjective optimization problem with typically fewer objectives in the PIS. This mapping enables a modular incorporation of decision maker’s preferences to convert any evolutionary algorithm to an interactive one, whe…

050101 languages & linguisticsMathematical optimizationComputer sciencemedia_common.quotation_subjectdecision makerEvolutionary algorithmpäätöksentukijärjestelmätevoluutiolaskentapreference information02 engineering and technologySpace (commercial competition)Multi-objective optimizationoptimointiachievement scalarizing functionsalgoritmit0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesQuality (business)evolutionary algorithmsFunction (engineering)media_commonbusiness.industry05 social sciencesinteractive methodsModular designDecision makermonitavoiteoptimointiPreference020201 artificial intelligence & image processingbusiness
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Multi-class Text Complexity Evaluation via Deep Neural Networks

2019

Automatic Text Complexity Evaluation (ATE) is a natural language processing task which aims to assess texts difficulty taking into account many facets related to complexity. A large number of papers tackle the problem of ATE by means of machine learning algorithms in order to classify texts into complex or simple classes. In this paper, we try to go beyond the methodologies presented so far by introducing a preliminary system based on a deep neural network model whose objective is to classify sentences into more of two classes. Experiments have been carried out on a manually annotated corpus which has been preprocessed in order to make it suitable for the scope of the paper. The results sho…

050101 languages & linguisticsSettore INF/01 - InformaticaArtificial neural networkText simplificationbusiness.industryComputer science05 social sciencesText simplification02 engineering and technologyDeep neural networkMachine learningcomputer.software_genreClass (biology)Task (project management)Simple (abstract algebra)Automatic Text Complexity Evaluation0202 electrical engineering electronic engineering information engineeringDeep neural networks020201 artificial intelligence & image processing0501 psychology and cognitive sciencesArtificial intelligencebusinesscomputerScope (computer science)
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