Results 31 to 40 of about 8,947 (240)

Knowledge-based semantic relatedness measure using semantic features [PDF]

open access: yes, 2020
Measuring semantic relatedness has received much attention for uses in many fields such as information retrieval and natural language processing. For handling synonymous problem in distributional-based measures, many researchers are investigating how to ...
Noorhuzaimi@Karimah, Mohd Noor   +3 more
core   +1 more source

Recommender System for E-Learning Based on Semantic Relatedness of Concepts

open access: yesInformation, 2015
Digital publishing resources contain a lot of useful and authoritative knowledge. It may be necessary to reorganize the resources by concepts and recommend the related concepts for e-learning.
Mao Ye, Zhi Tang, Jianbo Xu, Lifeng Jin
doaj   +1 more source

What constitutes vocabulary learning difficulty? A classroom-based study of semantic relatedness and L1 familiarity effects on L2 word learning

open access: yesAustralian Journal of Applied Linguistics, 2021
There has been a plethora of studies investigating the effect of semantic relatedness on second language (L2) word learning.However, most prior studies failed to control for the lexical properties of target words, which may be responsible for the mixed ...
Hanzhong Sun, Shaohua Fang
doaj   +1 more source

Semantic Relatedness and Similarity Reference Standards for Medical Terms

open access: yes, 2018
1. MayoSRS.csv: A set of 101 medical concept pairs manually rater by medical coders for semantic relatedness. 2. MiniMayoSRS.csv: A subset of 29 medical concept pairs manually rater by medical coders for semantic relatedness with high inter-rater ...
Pakhomov, Serguei
core   +1 more source

Monitoring semantic relatedness and revealing fairness and biases through trend tests

open access: yesInternational Journal of Information Management Data Insights
An emerging application domain concerning content-based recommender systems provides a better consideration of the semantics behind textual descriptions. Traditional approaches often miss relevant information due to their sole focus on syntax.
Jean-Rémi Bourguet, Adama Sow
doaj   +1 more source

A Paradigm for Investigating Executive Control Mechanisms in Word Retrieval in Language-Impaired and Neurotypical Speakers

open access: yesFrontiers in Psychology, 2014
An unresolved question in research on executive control in language production is whether the processes responsible for inhibiting a dominant, prepotent response in order to comply with task goals is the same or different from control processes that bias
Erica L. Middleton, Nazbanou Nozari
doaj   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh   +4 more
wiley   +1 more source

SEMANTIC MEASURE BASED ON FEATURES IN LEXICAL KNOWLEDGE SOURCES

open access: yesAsia-Pacific Journal of Information Technology and Multimedia, 2017
Semantic measures between concepts require some of cognitive capabilities such as categorization and reasoning to estimate semantic association among concepts.
Ummi Zakiah Zainodin   +2 more
doaj   +1 more source

Semantic priming and schizotypal personality: reassessing the link between thought disorder and enhanced spreading of semantic activation [PDF]

open access: yesPeerJ, 2020
The term schizotypy refers to a group of stable personality traits with attributes similar to symptoms of schizophrenia, usually classified in terms of positive, negative or cognitive disorganization symptoms.
Javier Rodríguez-Ferreiro   +2 more
doaj   +2 more sources

Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley   +1 more source

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