Results 81 to 90 of about 46,987 (245)
Age-Related Brain Activation Changes during Rule Repetition in Word-Matching
Frontiers in Human Neuroscience, 2017 Objective: The purpose of this study was to explore the age-related brain activation changes during a word-matching semantic-category-based task, which required either repeating or changing a semantic rule to be applied.
Ikram Methqal +8 more
doaj +1 more source
, 2017 In this paper, we present a distributional word embedding model trained on one of the largest available Russian corpora: Araneum Russicum Maximum (over 10 billion words crawled from the web).
Kunilovskaya, Maria, Kutuzov, Andrey
core +1 more source
Semantic Relatedness with Variable Ontology Density
Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, 2014 In a previous work, we proposed a semantic relatedness measure between scientific concepts, using Wikipedia categories network as an ontology, based on the length of the category path. After observing substantial differences in the arc density of the categories network, across the whole graph, it was concluded that these irregularities in the ...
Ana L. N. Fred +2 more
openaire +1 more source
TESOL Quarterly, EarlyView.Abstract This study examined the effects of repeated viewing and reading fluency on incidental second language vocabulary acquisition through captioned video exposure. A total of 149 Japanese EFL learners watched a short animation with or without captions, varying in the number of repetitions (once, twice, or three times).
Satsuki Kurokawa, Takumi Uchihara
wiley +1 more source
An effective, low-cost measure of semantic relatedness obtained from Wikipedia links [PDF]
, 2008 This paper describes a new technique for obtaining measures of semantic relatedness. Like other recent approaches, it uses Wikipedia to provide structured world knowledge about the terms of interest.
Milne, David N., Witten, Ian H.
core +3 more sources
Journal of the Royal Anthropological Institute, EarlyView.Contemporary artificial intelligence (AI) technologies are often presumed to be capable of revealing unmediated truths about the world, including the truths language might hold, echoing the long‐standing assertion that language's primary function is to directly translate reality.
Beth M. Semel
wiley +1 more source
Why do Public Debates Escalate? Trigger Points and the Moral Dynamics of “Hot Politics”
The British Journal of Sociology, EarlyView.ABSTRACT Escalating, emotionally charged, and moralized forms of controversy are a central feature of contemporary politics. Our study develops a framework for understanding how political debates between ordinary citizens become heated; why certain issues provoke particularly strong emotions; and how this affective potential is weaponized by ...
Linus Westheuser +2 more
wiley +1 more source
Enhanced Semantic Relatedness Prediction Using XLM‐RoBERTa and CNNs With K‐Fold Cross‐Validation
The Journal of EngineeringAccurately measuring the semantic relatedness between sentences is crucial for various natural language processing (NLP) tasks, including question answering, text summarization, and information retrieval.
Md. Ayon Mia +3 more
doaj +1 more source
Towards Deep Semantic Analysis Of Hashtags
, 2015 Hashtags are semantico-syntactic constructs used across various social networking and microblogging platforms to enable users to start a topic specific discussion or classify a post into a desired category.
Bansal, Piyush +2 more
core +1 more source
The limits of AI for authoritarian control
American Journal of Political Science, EarlyView.Abstract An emerging literature suggests that artificial intelligence (AI) can greatly enhance autocrats' repressive capabilities. This paper argues that while AI presents a powerful new tool for authoritarian control, its effectiveness is constrained by the very repressive institutions it is designed to serve.
Eddie Yang
wiley +1 more source