Search results for "natural language processing"

showing 10 items of 413 documents

The Role of General and Selective Task Instructions on Students’ Processing of Multiple Conflicting Documents

2019

This study was designed to test the role of general and selective task instructions when processing documents, which vary as regards trustworthiness and position toward a conflicting topic. With selective task instructions, we refer to concrete guidelines as how to read the texts and how to select appropriate documents and contents, in contrast to general task instructions. Sixty-one secondary school students were presented with four different conflicting documents in an electronic learning environment and were told to write an essay based on the information from the texts. Only half of the students were told to only use information from two out of the four texts to write their essay (i.e.,…

media_common.quotation_subjectlcsh:BF1-990computer.software_genre050105 experimental psychologyTask (project management)03 medical and health sciences0302 clinical medicinetask-oriented readingReading (process)Psychology0501 psychology and cognitive sciencesQuality (business)General PsychologyOriginal Researchmedia_commonmultiple documentsbusiness.industryon-line reading05 social sciencesContrast (statistics)Focus (linguistics)Test (assessment)Comprehensionlcsh:PsychologyTrustworthinessfunctional readingArtificial intelligencecomprehensionbusinessPsychologycomputer030217 neurology & neurosurgeryNatural language processingFrontiers in Psychology
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Drifting through Basic Subprocesses of Reading: A Hierarchical Diffusion Model Analysis of Age Effects on Visual Word Recognition

2016

International audience; Reading is one of the most popular leisure activities and it is routinely performed by most individuals even in old age. Successful reading enables older people to master and actively participate in everyday life and maintain functional independence. Yet, reading comprises a multitude of subprocesses and it is undoubtedly one of the most complex accomplishments of the human brain. Not surprisingly, findings of age-related effects on word recognition and reading have been partly contradictory and are often confined to only one of four central reading subprocesses, i.e., sublexical, orthographic, phonological and lexico-semantic processing. The aim of the present study…

media_common.quotation_subjectlcsh:BF1-990letter identification150semantic decisioncomputer.software_genre050105 experimental psychology03 medical and health sciences0302 clinical medicinereadingReading (process)Lexical decision taskPsychology0501 psychology and cognitive sciencesEveryday lifeGeneral PsychologyOriginal Researchmedia_commonhierarchical diffusion modelingVisual word recognitionlexical decisionComputational modelbusiness.industry[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesagingphonological decision16. Peace & justiceCorrect responsevisual word recognitionlcsh:PsychologyWord recognition[SCCO.PSYC]Cognitive science/PsychologyArtificial intelligenceDecision thresholdPsychologybusinesscomputer030217 neurology & neurosurgeryNatural language processing
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Towards data-driven medical imaging using natural language processing in patients with suspected urolithiasis.

2020

Abstract Objective The majority of radiological reports are still written as free text and lack structure. Further evaluation of free-text reports is difficult to achieve without a great deal of manual effort, and is not possible in everyday clinical practice. This study aims to automatically capture clinical information and positive hit rates from narrative radiological reports of suspected urolithiasis using natural language processing (NLP). Methods Narrative reports of low dose computed tomography (CT) of the retroperitoneum from April 2016 to July 2018 (n = 1714) were analyzed using NLP. These free-text reports were automatically structured based on RadLex concepts. Manual feedback was…

medicine.medical_specialty020205 medical informaticsHealth Informatics02 engineering and technologycomputer.software_genreLogistic regression03 medical and health sciences0302 clinical medicineUreterUrolithiasisEpidemiology0202 electrical engineering electronic engineering information engineeringmedicineMedical imagingHumansIn patient030212 general & internal medicineObstructive uropathyNatural Language ProcessingRetrospective StudiesElectronic Data Processingbusiness.industrymedicine.diseaseTest (assessment)medicine.anatomical_structureRadiological weaponArtificial intelligencebusinessTomography X-Ray ComputedcomputerNatural language processingAlgorithmsInternational journal of medical informatics
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Strength Training: Single Versus Multiple Sets

1999

medicine.medical_specialtyEvidence-Based MedicineWeight LiftingSports medicinebusiness.industryStrength trainingMEDLINEReproducibility of ResultsData interpretationPhysical Therapy Sports Therapy and RehabilitationEvidence-based medicinecomputer.software_genreExercise TherapyText miningBiasResearch DesignData Interpretation StatisticalmedicineHumansOrthopedics and Sports MedicineArtificial intelligencebusinessPsychologycomputerNatural language processingSports Medicine
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Using Automatic Morphological Tools to Process Data from a Learner Corpus of Hungarian

2014

The aim of this article is to show how automatic morphological tools originally used to analyze native speaker data can be applied to process data from a learner corpus of Hungarian. We collected written data from 35 students majoring in Hungarian studies at the University of Zagreb, Croatia. The data were analyzed by magyarlanc, a sentence splitter, morphological analyzer, POS-tagger and dependency parser, which found 667 unknown word forms. We investigated the recommendations made by the Hungarian spellchecker hunspell for these unknown words and the correct forms were manually chosen. It was found that if the first suggestion made by hunspell was automatically accepted, an accuracy score…

morphological parsingautomatic error tagginglearner corpusnatural language processingHungarian language
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Machine Learning Models for Measuring Syntax Complexity of English Text

2019

In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.

naturallanguage-processingText simplificationComputer science02 engineering and technologyEnglish languagecomputer.software_genredeep-learningtext-simplification03 medical and health sciences0302 clinical medicinetext-evaluation0202 electrical engineering electronic engineering information engineeringText-simplification Deep-learning Machine-learningSequenceSyntax (programming languages)Settore INF/01 - Informaticabusiness.industryDeep learningSupport vector machineRecurrent neural network020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer030217 neurology & neurosurgerySentenceNatural language processing
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Explaining Causes Behind SQL Query Formulation Errors

2020

This Full Research Paper presents the most prominent query formulation errors in Structured Query Language (SQL), and maps these errors to their cognitive explanations. Understanding query formulation errors is a key to teaching SQL. more effectively. However, studies on what kind of errors novices struggle with are relatively scarce when compared to, for example, programming languages. Although committing errors is a crucial part in learning, some errors are relatively easy to fix, and their commonness is not necessarily an indication of their difficulty. Other errors, however, halt the learning process, and are never fixed by the query writer. Using a previously established error taxonomy…

noviceSQLoppiminenComputer scienceJoins02 engineering and technologySemanticscomputer.software_genrekyselykieletohjelmointikieletSet (abstract data type)020204 information systems0202 electrical engineering electronic engineering information engineeringdatabasecomputer.programming_languageeducationSQLSyntax (programming languages)business.industry05 social sciences050301 educationRelational operatorerrorStructured Query Language (SQL)koulutusvirheetArtificial intelligencebusiness0503 educationcomputerNatural language processingNatural language2020 IEEE Frontiers in Education Conference (FIE)
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Noisy Channel in Language-Pair Phenomena Identification

2014

pattern recognitiondata miningnatural language processingmachine translation
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The Fuzzy Concept of Idiom and What It Might Mean for Bilingual Dictionaries

2019

Linguistic categories were developed as tools for describing language systems and making them easier to learn. However, like many theoretical con­cepts and systems, they do not fully represent the real world and, in some cases, seek to imprison linguistic units within a well-ordered system – a procrustean bed as it were. Besides, although the most general categories are universal, the lower-ranking ones are often language-specific. Idiom (or phraseologism) is a very unclear linguistic concept, subject to never-ending debate. However, a strict adherence to categorisation is observable in practical bilingual lexico­graphy and phraseography. This may lead to unwanted compartmentalisation and a…

phraseologismbilingual dictionariesbusiness.industryComputer scienceidiomequivalenceP1-1091General Medicinecomputer.software_genrelexemecategoryFuzzy conceptLiterature (General)Artificial intelligencebusinessPN1-6790Philology. LinguisticscomputerNatural language processingBaltic Journal of English Language, Literature and Culture
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Timbral Qualities of Semantic Structures of Music.

2010

The rapid expansion of social media in music has provided the field with impressive datasets that offer insights into the semantic structures underlying everyday uses and classification of music. We hypothesize that the organization of these structures are rather directly linked with the ”qualia” of the music as sound. To explore the ways in which these structures are connected with the qualities of sounds, a semantic space was extracted from a large collection of musical tags with latent semantic and cluster analysis. The perceptual and musical properties of 19 clusters were investigated by a similarity rating task that used spliced musical excerpts representing each cluster. The resulting…

samanlaisuustimbretimbral environmentsemanttinen analyysisointivärisosiaalinen mediaakustinen analyysinatural language processing
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