Results 91 to 100 of about 46,318 (263)
Linguistic vs Encyclopaedic Knowledge. Classification of MWEs from Wikipedia Articles
Cybernetics and Information Technologies, 2020 This paper reports on the first steps in the creation of linked data through the mapping between the synsets of BTB-WordNet and the articles in Bulgarian Wikipedia. The task of expanding the BTB-WordNet with encyclopaedic knowledge is done by mapping its
Kancheva Z., Radev I.
doaj +1 more source
Bootstrapping a Portuguese WordNet from Galician, Spanish and English Wordnets [PDF]
, 2014 In this article we exploit the possibility on bootstrapping an European Portuguese WordNet from the English, Spanish and Galician wordnets using Probabilistic Translation Dictionaries automatically created from parallel corpora. The process generated a total of 56i¾?770 synsets and 97i¾?058 variants.
Simões, Alberto +1 more
openaire +3 more sources
Acta Psychiatrica Scandinavica, Volume 151, Issue 3, Page 332-347, March 2025.Abstract Background and Hypothesis Speech markers are digitally acquired, computationally derived, quantifiable set of measures that reflect the state of neurocognitive processes relevant for social functioning. “Oddities” in language and communication have historically been seen as a core feature of schizophrenia.
Tyler C. Dalal +5 more
wiley +1 more source
Lexical platform – the first step towards user-centred integration of lexical resources
Cognitive Studies | Études cognitives, 2018 Lexical platform – the first step towards user-centred integration of lexical resources Lexical platform – the first step towards user-centred integration of lexical resources The paper describes the Lexical Platform - a means for lightweight ...
Maciej Piasecki +3 more
doaj +1 more source
Merging DanNet with Princeton Wordnet
Proceedings of Global Wordnet Conference 2019 (GWC2019), 2019 In this paper we describe the merge of the Danish wordnet, DanNet, with Princeton Wordnet applying a two-step approach. We first link from the English Princeton core to Danish (5,000 base concepts) and then proceed to link-ing the rest of the Danish vocabulary to English, thus going from Danish to English.
Pedersen, B. S. +3 more
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Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions
Human Brain Mapping, Volume 46, Issue 3, February 15, 2025.Stimulus selection is crucial for phenotype prediction in naturalistic conditions. The level of inter‐subject synchrony in brain activity strongly influences the predictive capability, with the effect largely following the functional hierarchy of the brain.
Xuan Li, Simon B. Eickhoff, Susanne Weis
wiley +1 more source
Video databases annotation enhancing using commonsense knowledgebases for indexing and retrieval [PDF]
, 2009 The rapidly increasing amount of video collections, especially on the web, motivated the need for intelligent automated annotation tools for searching, rating, indexing and retrieval purposes.
Ahmed, Amr, Altadmri, Amjad
core
The price impact of tweets: A high‐frequency study
Financial Review, Volume 60, Issue 1, Page 147-171, February 2025.Abstract We examine the mechanism by which social media sentiment affects stock prices. Specifically, we assess the impact of Twitter feeds on stock returns at the intraday level. We find that an increase in buyer‐initiated trades has a significantly positive price impact.
Ni Yang +2 more
wiley +1 more source
Syntactic Patterns in Croatian WordNet
Journal of Computing and Information Technology, 2010 The paper presents the detection of syntactic patterns in the Croatian WordNet synset definitions. The detection was performed in order to create unambiguous and consistent synset definitions in the future development of the Croatian WordNet. The rules are implemented in form of finite-state transducers and tested on already existing version of the ...
Božo Bekavac, Krešimir Šojat
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IET Communications, Volume 19, Issue 1, January/December 2025.This paper proposed an Automated Quality Assessment of SRS (AQA‐SRS) framework by integrating four popular methods which are; NLP, K‐means, MAS, and CBR to assess the quality of SRS documents. The NLP utilize for feature extraction, K‐means for features clustering, MAS for interactive assessment and feature selection decision, and CBR for managing the ...
Mohammed Ahmed Jubair +6 more
wiley +1 more source