domain-general
An alternative to domain general or domain specific frameworks for theorizing about human evolution and ontogenesis
... the domain-general framework could not explain early competences nor atypical uneven cognitive profiles and that, instead, the human mind/brain had to be conceived of as being composed of highly specialized ...
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Domain-general and domain-specific deficits in autism and dyslexia
... available for normal subjects^ (n=17), the highest and the only significant correlation between the PA measures and full scale IQ was between the spoonerism total scores and FIQ (r=.76, p=.002). The normal group thus ...
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The Neurocognitive Underpinnings of Arithmetic in Children and Adults: Examining the Roles of Domain General and Domain Specific Abilities
... more domain general factors related to attention, working memory, task difficulty, and goal monitoring (Arsalidou & Taylor, 2011; Delazer et ...more domain specific skills required for ...
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Domain-specific and domain-general processes underlying metacognitive judgments
... In addition, error awareness was also not correlated with area under the curve for the perceptual Pearsons r =. 160, p=. 398, or memorial task Pearsons r =‐.212, p=. 261. In case th[r] ...
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Beyond action-specific simulation: Domain-general motor contributions to perception
... Permanent repository link: http://openaccess.city.ac.uk/6567/ Link to published version: http://dx.doi.org/10.1016/j.tics.2015.01.006 Copyright and reuse: City Research Online aims to ma[r] ...
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Resisting Everything Except Temptation: Evidence and an Explanation for Domain-Specific Impulsivity
... in domain-general terms? The current investigation addresses these ...both domain-general and domain-specific variance in impulsive ...between-individual domain-general ...
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Exploring the Process of Statistical Language Learning
... Although domain-general processes are likely essential to successful statistical learning, there are nevertheless domain-specific constraints on statistical ...domains. Domain-specificity in ...
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Learning Domain Representation for Multi Domain Sentiment Classification
... learning domain-specific rep- resentations of input sentences using neural ...each domain, which is used to map adversarially trained domain- general Bi-LSTM input representations into ...
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Opitz, Ansgar (2017): Advancing the assessment of scientific reasoning skills: a review of tests and a detailed analysis of a common test. Dissertation, LMU München: Fakultät für Psychologie und Pädagogik
... a domain-general way, others assume that their scientific reasoning test is domain-specific (Opitz et ...relevant: Domain generality implies that scientific reasoning skills are the same ...
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What’s in a Domain? Learning Domain Robust Text Representations using Adversarial Training
... to domain variation, such that domain-general concepts are learned in preference to domain-specific phenomena, which will not transfer well to out-of-domain ...
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Semi Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains
... a domain-specific lexical sam- ple ...a domain- specific dataset show that our supervised base- line system beats the best knowledge-based systems by a large ...
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Does NMT make a difference when post editing closely related languages? The case of Spanish Catalan
... In the first experiment, 12 participants post- edited a short text (441 words, 14 segments) from Spanish into Catalan translated with our in-domain PBSMT Moses, our in-domain NMT Marian and NMT Google ...
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Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains
... This paper provides an empirical study on the impact of training data size and domain informa- tion on NER performance. Some useful observa- tions are obtained from the experimental results on a large-scale ...
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Presence of Heat on an Infinite Plate with a Curvilinear Hole Having Two Poles
... . The main reasons of interest in this mapping is that the general shapes of the hypotrochids are curvilinear polygons, for = 1 see Muskhelishvili’s [27]. For = 2 we have a curvilinear triangle see Abdou ...
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Improving Multi label Emotion Classification by Integrating both General and Domain specific Knowledge
... through domain-specific token patterns to supplement the general knowledge of ...a domain-specific ...from domain knowl- edge supplied by the CNN detector to obtain per- formance improvement ...
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Extraction of Domain specific Opinion Words for Similar Domains
... cific domain while the others are context- oriented [Lu ...particular domain or topic have been shown to improve task performance in a number of applications, including opinion re- trieval [Jijkoun ...
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Intellectual Property and Public–Private Partner Motivations: Lessons from a Digital Library
... For libraries, the scanning meant that there would be an enormous advance in a collec- tive solution to the brittle book concern for a huge number of books, which would also have the collateral effect of increasing ...
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A learning automata based multiobjective hyper heuristic
... particular domain by experts, have been successfully applied to many computationally hard optimisation ...problem domain or a slight change in the problem description would often require additional expert ...
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Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre trained Language Model
... As the size of the MedNLI dataset is limited to train the whole weight parameters in complicated neural network based models, we first choose a BERT (Devlin et al., 2018) based model that pro- vides pre-trained model ...
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002685 07 Technical Publications Overview Jun87 pdf
... 009021 Domain System Call Reference Domain Graphics Primitives Resource Call Reference Programming with General System Calls Programming with System Calls for Interprocess Communication [r] ...
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