Search results for "Language Processing"

showing 10 items of 421 documents

Combining a context aware neural network with a denoising autoencoder for measuring string similarities

2020

Abstract Measuring similarities between strings is central for many established and fast-growing research areas, including information retrieval, biology, and natural-language processing. The traditional approach to string similarity measurements is to define a metric with respect to a word space that quantifies and sums up the differences between characters in two strings; surprisingly, these metrics have not evolved a great deal over the past few decades. Indeed, the majority of them are still based on making a simple comparison between character and character distributions without considering the words context. This paper proposes a string metric that encompasses similarities between str…

Artificial neural networkProperty (programming)Computer sciencebusiness.industryString (computer science)020206 networking & telecommunicationsContext (language use)02 engineering and technologycomputer.software_genre01 natural sciencesTheoretical Computer ScienceHuman-Computer InteractionCharacter (mathematics)0103 physical sciencesMetric (mathematics)0202 electrical engineering electronic engineering information engineeringArtificial intelligenceString metricbusiness010301 acousticscomputerSoftwareWord (computer architecture)Natural language processingComputer Speech & Language
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On the Locality of Standard Search Operators in Grammatical Evolution

2014

Offspring should be similar to their parents and inherit their relevant properties. This general design principle of search operators in evolutionary algorithms is either known as locality or geometry of search operators, respectively. It takes a geometric perspective on search operators and suggests that the distance between an offspring and its parents should be less than or equal to the distance between both parents. This paper examines the locality of standard search operators used in grammatical evolution (GE) and genetic programming (GP) for binary tree problems. Both standard GE and GP search operators suffer from low locality since a substantial number of search steps result in an o…

Binary treeTheoretical computer sciencebusiness.industryPerspective (graphical)LocalityEvolutionary algorithmGenetic programmingcomputer.software_genreRandom walkGrammatical evolutionArtificial intelligencebusinesscomputerNatural language processingMathematics
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Evaluative linguistic expressions vs. fuzzy categories

2015

In this paper, we discuss the distinction between categories characterized by verbal labels taken from a fuzzy rating scale and special class of linguistic expressions, called evaluative. The latter form a general class of expressions that includes gradable and evaluative adjectives and their hedges. First, we will provide a brief linguistic analysis of them. Then we outline basic principles for construction of the mathematical model of semantics of evaluative expressions. In Section 3 we will analyze the concepts of rating scale with verbal labels (fuzzy rating scale), their semantics and demonstrate that the latter cannot be identified with the semantics of evaluative expressions. Finally…

Class (set theory)Basis (linear algebra)Logicbusiness.industryFuzzy setSpecial classcomputer.software_genreSemanticsFuzzy logicLinguisticsLinguistic analysisArtificial IntelligenceRating scaleArtificial intelligencebusinesscomputerNatural language processingMathematicsFuzzy Sets and Systems
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Ordinal mind change complexity of language identification

1997

The approach of ordinal mind change complexity, introduced by Freivalds and Smith, uses constructive ordinals to bound the number of mind changes made by a learning machine. This approach provides a measure of the extent to which a learning machine has to keep revising its estimate of the number of mind changes it will make before converging to a correct hypothesis for languages in the class being learned. Recently, this measure, which also suggests the difficulty of learning a class of languages, has been used to analyze the learnability of rich classes of languages. Jain and Sharma have shown that the ordinal mind change complexity for identification from positive data of languages formed…

Class (set theory)LearnabilityComputer sciencebusiness.industryObject languageInductive reasoningcomputer.software_genrePicture languageConstructiveCache language modelArtificial intelligencebusinesscomputerNatural language processingNatural language
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Prediction of the difficulty level in a standardized reading comprehension test: contributions from cognitive psychology and psychometrics

2013

This research seeks to identify possible predictors of the difficulty level of reading comprehension items used in a standardized psychometric test for university admission. Several potential predictors of difficulty were proposed, namely, propositional density, negations, grammatical structure, vocabulary difficulty, presence of enhancement elements (words highlighted typographically), item abstraction level and degree of similarity between correct option and relevant text to resolve the item. By Linear Logistic Test Model (Fisher, 1973) it was found that the number of propositions, the syntactic structure, and fundamentally, the presence of difficult words contributed to the prediction of…

Cognitive psychology language processing reading comprehension Item Response Theory Linear Logistic Test Model Task Analysis Item difficulty level.PsychometricsItem Response Theorylanguage processingreading comprehensionlcsh:LB5-3640EducationTest (assessment)lcsh:Theory and practice of educationReading comprehensionCognitive psychologyLinear Logistic Test ModelPsychologyTask AnalysisCognitive psychologyRELIEVE - Revista Electrónica de Investigación y Evaluación Educativa
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Notes on the Success of Speech Acts and Negotiating Commitments

1996

Technologies that support communication and models used in the development of communications need good underlying theories. One theory suggested as a base for design is speech act theory. Both communication support tools and modelling notations informed by speech act theory have been proposed. Speech act theory forms no unified, single theory, but actually houses several variants for dealing with semantics, pragmatics, and social context of communications. They all have one common feature: they assume that language is not merely a means of describing but also a means for doing things. In this paper we present an overview of speech act theories and their uses in information systems research.…

Cognitive scienceComputer sciencebusiness.industrymedia_common.quotation_subjectContext (language use)Representation (arts)Pragmaticscomputer.software_genreSemanticsFocus (linguistics)Feature (linguistics)NegotiationInformation systemArtificial intelligencebusinesscomputerNatural language processingmedia_commonElectronic Workshops in Computing
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Perceptual semantics: A three-level approach

2010

In this work we suggest a model according to which semantics has been already generated during the perception through the interaction of three dynamic levels of perceptual organization. We consider perceptual grouping as the first order processing. Shape formation is considered as the second order processing. Both grouping and shape formation can be considered as two complementary and interrelated processes of perceptual organization. The third — partially overlapping — level is meaning assignment. Most of the results are supported by empirical evidence based on new visual illusions of shape and meaning and are consistent with several other proposals (e.g., [1], [2] and [3]).

Cognitive scienceVisual perceptionOptical illusionbusiness.industrymedia_common.quotation_subjectCognitioncomputer.software_genreSemanticsVisualizationPerceptionOrder processingMeaning (existential)Artificial intelligencebusinesscomputerNatural language processingMathematicsmedia_common2010 10th International Conference on Intelligent Systems Design and Applications
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The Argument Dependency Model

2015

This chapter summarizes the architecture of the extended Argument Dependency Model (eADM), a model of language comprehension that aspires toward neurobiological plausibility. It combines design principles from neurobiology with insights on cross-linguistic diversity. Like other current models, the eADM posits that auditory language processing proceeds along two distinct streams in the brain emanating from auditory cortex: the antero-ventral and postero-dorsal streams. Both streams are organized hierarchically and information processing takes place in a cascaded fashion. Each stream has functionally unified computational properties congruent with its role in primate audition. While the dorsa…

Cognitive sciencehierarchical processingDependency (UML)business.industryComputer scienceInformation processingcross-linguistic diversityAuditory cortexcomputer.software_genreNoncommutative geometryComprehensionRange (mathematics)dorsal streamventral streamArtificial intelligenceArgument (linguistics)businesscomputerCommutative propertyNatural language processinglanguage comprehension
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Null Effect of Set Size in Lexical Decision

1995

The effect of set size indicates that recall of a word is greater when its cue is associated with fewer words. This study was designed to replicate this result with lexical decisions of 18 students. In spite of obtaining the set-size effect with cue recall, it was not observed with lexical decision.

CommunicationRecallbusiness.industryNull (mathematics)Experimental and Cognitive PsychologyReplicatecomputer.software_genreSensory SystemsSpiteLexical decision taskArtificial intelligenceSet (psychology)businesscomputerNatural language processingWord (computer architecture)MathematicsPerceptual and Motor Skills
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The Development of Spatial Location in Finnish

1991

Abstract The purpose of this research was to study the shift from mono- to bi-referential spatial location in the language of Finnish children. Monoreferential location is based on the intrinsic properties of a referent object and the proximity relationship, and bireferential location requires coordinated spatial relationships involving referent objects and a projective relationship. Locative expressions which are monoreferential include: in/on/under and intrinsic front/back, and those which are bireferential include deictic front/back and between. A pictorial representation of locative relationships with a sentence-picture matching task was used to present the mono- vs bi-referential contr…

Communicationbusiness.industryRepresentation (systemics)Contrast (statistics)General MedicineLocative caseDeixisObject (computer science)computer.software_genreReferentMotion (physics)Arts and Humanities (miscellaneous)Artificial intelligenceProjective testPsychologybusinesscomputerGeneral PsychologyNatural language processingInternational Journal of Psychology
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