Search results for " language processing"

showing 10 items of 415 documents

Position coding effects in a 2D scenario: the case of musical notation.

2013

How does the cognitive system encode the location of objects in a visual scene? In the past decade, this question has attracted much attention in the field of visual-word recognition (e.g., "jugde" is perceptually very close to "judge"). Letter transposition effects have been explained in terms of perceptual uncertainty or shared "open bigrams". In the present study, we focus on note position coding in music reading (i.e., a 2D scenario). The usual way to display music is the staff (i.e., a set of 5 horizontal lines and their resultant 4 spaces). When reading musical notation, it is critical to identify not only each note (temporal duration), but also its pitch (y-axis) and its temporal seq…

Musical notationCognitive systemsComputer sciencemedia_common.quotation_subjectBigramExperimental and Cognitive PsychologyENCODEcomputer.software_genreTransposition (music)Arts and Humanities (miscellaneous)PerceptionDevelopmental and Educational PsychologyReaction TimeHumansCritical conditionmedia_commonCommunicationbusiness.industryMusic psychologyUncertaintyGeneral MedicineReadingVisual PerceptionArtificial intelligencebusinesscomputerNatural language processingMusicActa psychologica
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Part of speech tagging with Naïve Bayes methods

2014

Naive Bayes classifierbusiness.industryPart-of-speech taggingComputer scienceSpeech recognitionArtificial intelligencecomputer.software_genrebusinesscomputerNatural language processing2014 18th International Conference on System Theory, Control and Computing (ICSTCC)
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Prefazione

2019

This book constitutes the refereed proceedings of the 12th International Conference, NooJ 2018, held in Palermo, Italy, in June 2018. The 17 revised full papers and 3 short papers presented in this volume were carefully reviewed and selected from 48 submissions. NooJ is a linguistic development environment that provides tools for linguists to construct linguistic resources that formalize a large gamut of linguistic phenomena: typography, orthography, lexicons for simple words, multiword units and discontinuous expressions, inflectional and derivational morphology, local, structural and transformational syntax, and semantics. The papers in this volume are organized in topical sections on voc…

Natural Language Processing Computational Linguistics NooJ
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Machine-readable entailments with the Italian 'prendere' construction expressing hitting and insulting events

2022

The Italian language features a little debated transitive construction with prendere ‘to take/to catch’ in which a prepositional phrase (PP) with an adverbial value occurs mandatorily (e.g. Lui prese a pugni Leo ‘He punched Leo’). Semantically, this construction often implies the use of physical force or verbal offence. In the hitting or insulting event, the notional subject generally is a [+ Human] Agent, whilst the notional direct object generally is a [+ Animate] Affectee ([1]: 4). It can be contended that prendere, which carries no literal meaning, is zero-valent and that the predicate assigning semantic roles is the PP. A computational tool will be illustrated, …

Natural Language Processing Recognizing Textual Entailment Semantic Role Extraction Adverbial PPs with a predicative value Support verbsSettore L-LIN/01 - Glottologia E Linguistica
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Current communication technologies in language processing

2015

Even the most cutting-edge communication-mediated technology like satellite navigation for orbit positioning, pedestrian movement recognition systems based on inertial sensors, 5G systems, let alone medical devices for coordination of human organs functionality would not be invented without technologies for language processing as an information source between humans and communication systems. Regardless of the way we communicate that is via emails, website short tweets, video conferencing systems, social networking, blogs, instant messaging through websites or mobile applications, or texting only, we use a language that is processed by computer system. Thus, the keynote paper discusses lang…

Natural language user interfaceMultimediabusiness.industryComputer scienceLanguage Processingcomputer.software_genreComputer-Mediated CommunicationLanguage and Communication TechnologiesComputational LinguisticsUniversal Networking LanguageMachine TranslationIntelligent Information SystemsLanguage technologyInformation RetrievalQuestion answeringArtificial intelligenceComputational linguisticsbusinessLanguage industrycomputerNatural languageNatural language processing
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Integration, Bewertung und Nutzung heterogener Datenquellen mittels semantischer Werkzeuge

2017

In diesem Artikel stellen wir unsere Forschung in der Integration von Geodaten in einen Semantic Web Kontext in unserem Projekt Semantic GIS vor. Zunächst möchten wir den Zweck und die Vorteile einer Integration und Interpretation von Daten in das Semantic Web beleuchten und anschließend unseren Integrationprozess bestehend aus Datengewin-nung, automatischer Interpretation, Qualitätssicherung und Provenance sowie den Datenzugriff erklären. Um die Anwendung unserer Forschung zu demonstrieren gehen wir auf zwei Anwendungsfälle in unserem Projekt ein: Die Bewertung von OpenStreetMap Daten und die Verbesserung des Katastrophenschutzes mittels semantischem Reasoning. Wir schließen den Artikel mi…

On- tologyR2RMLProvenance Keywords: GeodatenDatenqualitätLinked dataSemantificationOntologieNatural Language processingSDI[INFO] Computer Science [cs]Geospatial dataSemantifikationSemantisches WebProvenance[INFO]Computer Science [cs]Sprachverarbeitung natürlicher SprachenData QualitySemantic web
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Semantics driven interaction using natural language in students tutoring

2007

The aim of this work is to introduce a semantic integration between an ontology and a chatbot in an Intelligent Tutoring Systems (ITS) to interact with students using natural language. The interaction process is driven by the use of a purposely defined ontology. In the ontology two types of conceptual relations are defined. Besides the usual relations, which are used to define the domain's structure, another type of relation is used to define the navigation schema inside the ontology according to the need of managing uncertainty. Uncertainty level is related to student knowledge level about the involved concepts. In this work we propose an ITS for the Java programming language called TutorJ…

Ontology Inference LayerComputer sciencecomputer.internet_protocolOntology (information science)Semanticscomputer.software_genreOWL-SIntelligent tutoring systemsLatent semantic analysisNatural language dialogueSemantic driven interactionSemantic navigationSemantic similaritySemantic computingSchema (psychology)Upper ontologySemantic integrationSemantic compressionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionisemantic navigationLatent semantic analysisbusiness.industryOntology-based data integrationKnowledge levelIntelligent Tutoring SystemsOntologylatent semantic analysisArtificial intelligencesemantic driven interactionbusinesscomputernatural language dialogueNatural language processing
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Modeling Changes for SHOIN(D) Ontologies: An Exhaustive Structural Model

2013

Ontology development starts with a rigorous ontological analysis that provides a conceptualization of the domain to model agreed by the community. An ontology, specified in a formal language, approximates the intended models of this conceptualization. It needs then to be revised and refined until an ontological commitment is found. Also ulterior updates, responding to changes in the domain and/or the conceptualization, are expected to occur throughout the ontology life cycle. To handle a consistent application of changes, a couple of ontology evolution methodologies have been proposed. Maintaining the structural consistency is one of the ontology evolution criteria. It implies modeling chan…

Ontology Inference Layer[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/WebComputer scienceProcess ontology030303 biophysicsData_MISCELLANEOUS[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)computer.software_genre03 medical and health sciencesOntology chart[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]SHOIN(D) Description LogicOntology components0202 electrical engineering electronic engineering information engineeringUpper ontologyOWL DL[INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]0303 health sciencesbusiness.industryOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontology[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]Structural ConsistencyOntology EvolutionIEEE[ INFO.INFO-FL ] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]Ontology Model020201 artificial intelligence & image processing[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]Artificial intelligenceComputingMethodologies_GENERALChange ModellingbusinesscomputerNatural language processing
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Model Driven Specification of Ontology Translations

2008

The alignment of different ontologies requires the specification, representation and execution of translation rules. The rules need to integrate translations at the lexical, the syntactic and the semantic layer requiring semantic reasoning as well as low-level specification of ad-hoc conversions of data. Existing formalisms for representing translation rules cannot cover the representation needs of these three layers in one model. We propose a metamodel-based representation of ontology alignments that integrate semantic translations using description logics and lower level translation specifications into one model of representation for ontology alignments.

Ontology Inference Layerbusiness.industryProgramming languageComputer scienceOntology-based data integrationProcess ontologySuggested Upper Merged Ontology02 engineering and technologyOntology (information science)computer.software_genreDescription logic020204 information systems0202 electrical engineering electronic engineering information engineeringUpper ontology020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerOntology alignmentNatural language processingLecture Notes in Computer Science Conceptual Modeling - ER 2008
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The equative sentence in Finnish Sign Language

2007

It is argued in this paper that equative sentences in Finnish Sign Language (FinSL) conform to the general schema of (NP) NP+(PI+)NP, parenthesis marking optionality of elements. With respect to this schema, it is further argued, (a) that the function of the first NP in equative sentences is always topic; (b) that topics are marked syntactically, prosodically, and morphologically in FinSL; (c) that the preferred organisation of equative sentences in general is topic-comment; (d) that there are two structurally distinct topic-comment structures in FinSL, one having the topic at the beginning of the clause and the other having the topic in the left-detached clause-external position; (e) that …

ParenthesisEquativeLinguistics and LanguagePronounComputer sciencebusiness.industrymedia_common.quotation_subjectSign languageCertaintycomputer.software_genreLanguage and LinguisticsLinguisticsSchema (psychology)PhenomenonArtificial intelligencebusinesscomputerNatural language processingSentencemedia_common
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