1. Creating better models of data work through big exercises of imagination2020, radijska ali televizijska oddaja Najdeno v: ključnih besedah
Povzetek najdenega: ...predictive economies, data, social tech, machine learning, autonomy, data worker, trade union, solidarity, labour...
Ključne besede: predictive economies, data, social tech, machine learning, autonomy, data worker, trade union, solidarity, labour extraction, data labour rights
Objavljeno: 08.12.2020; Ogledov: 1657; Prenosov: 20
 Polno besedilo (0,00 KB) |
2. The effect of bilingualism on the processing of scalar implicaturesAnne Reboul, Arthur Stepanov, Jacques Jayez, Jean-Baptiste van der Henst, Viviane Déprez, Anne Cheylus, Ludivine Dupuy, Penka Stateva, Sara Andreetta, 2016, objavljeni povzetek znanstvenega prispevka na konferenci Opis: Scalar implicatures have been extensively investigated in the experimental literature, but almost exclusively in monolingual speakers. Very little research has been conducted on the pragmatic abilities of multilingual populations, including early bilinguals to L2 learners, a gap the current study aims to remedy.
Najdeno v: ključnih besedah
Povzetek najdenega: ...L2 learning and early bilingualism, comprehension of scalar implicatures...
Ključne besede: L2 learning and early bilingualism, comprehension of scalar implicatures
Objavljeno: 22.04.2016; Ogledov: 4113; Prenosov: 0
 Polno besedilo (227,83 KB) |
3. Does Grammatical Structure Accelerate Number Word Learning? Evidence from Learners of Dual and Non-Dual Dialects of SlovenianFranc Marušič, Rok Žaucer, Vesna Plesničar, Tina Razboršek, Jessica Sullivan, David Barner, 2016, izvirni znanstveni članek Opis: How does linguistic structure affect children’s acquisition of early number word meanings? Previous studies have tested this question by comparing how children learning languages with different grammatical representations of number learn the meanings of labels for small numbers, like 1, 2, and 3. For example, children who acquire a language with singular-plural marking, like English, are faster to learn the word for 1 than children learning a language that lacks the singular-plural distinction, perhaps because the word for 1 is always used in singular contexts, highlighting its meaning. These studies are problematic, however, because reported differences in number word learning may be due to unmeasured cross-cultural differences rather than specific linguistic differences. To address this problem, we investigated number word learning in four groups of children from a single culture who spoke different dialects of the same language that differed chiefly with respect to how they grammatically mark number. We found that learning a dialect which features “dual” morphology (marking of pairs) accelerated children’s acquisition of the number word two relative to learning a “non-dual” dialect of the same language.
Najdeno v: ključnih besedah
Ključne besede: števila, številke, slovnično število, dvojina, narečja, usvajanje, učenje, slovenščina, angleščina, numbers, grammatical number, dual, dialects, acquisition, learning, Slovenian, English
Objavljeno: 10.08.2016; Ogledov: 4103; Prenosov: 234
Polno besedilo (1,38 MB) |
4. The Learning Chain of Excerpts Didactic ModelZoran Božič, 2017, izvirni znanstveni članek Opis: The paper presents a case study of the interpretation of a medium-length narrative text in pre-college settings based on a learning chain of excerpts model supplemented with questions for close reading. This didactic approach had already become widespread in Slovenia prior to WW II, and achieved a more systematic realization with the publication of two workbooks for home reading: Zlati poljub (The golden kiss; Božič 1998) and Poljub zlata (The kiss of gold; Božič 1998) in 1998. After almost two decades of its application in schools, it is time for a more detailed assessment of the approach and its usefulness, which has been carried out by also comparing two learning chains that were created for the well-known novella “Tantadruj” by Kosmač. The paper concludes with a learning chain that connects Tantadruj’s search for happiness with the narrator’s search for creative inspiration.
Najdeno v: ključnih besedah
Ključne besede: Ciril Kosmač, learning chain, close reading, home reading, literature didactics
Objavljeno: 13.02.2017; Ogledov: 3554; Prenosov: 260
Polno besedilo (271,08 KB) |
5. Explicit Feature Construction and Manipulation for Covering Rule Learning AlgorithmsJohannes Fuernkranz, Nada Lavrač, Dragan Gamberger, 2010, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: Features are the main rule building blocks for rule learning algorithms. They can be simple tests for attribute values or complex logical terms representing available domain knowledge. In contrast to common practice in classification rule learning, we argue that separation of the feature construction and rule construction processes has theoretical and practical justification. Explicit usage of features enables a unifying framework of both propositional and relational rule learning and we present and analyze procedures for feature construction in both types of domains. It is demonstrated that the presented procedure for constructing a set of simple features has the property that the resulting set enables construction of complete and consistent rules whenever it is possible, and that the set does not include obviously irrelevant features. Additionally, the concept of feature relevancy is important for the effectiveness of rule learning. It this work, we illustrate the concept in the coverage space and
prove that the relative relevancy has the quality-preserving property in respect to the resulting rules. Moreover, we show that the transformation from the attribute to the feature space enables a novel, theoretically justified way of handling unknown attribute values. The same approach
enables that estimated imprecision of continuous attributes can be taken into account, resulting in construction of robust features in respect to this imprecision.
Najdeno v: ključnih besedah
Ključne besede: Machine learning, Feature construction, Rule learning, Unknown attribute values
Objavljeno: 14.07.2017; Ogledov: 3603; Prenosov: 0
Polno besedilo (365,76 KB) |
6. |
7. Exploring deep learning as an event classification method for the Cherenkov Telescope ArrayMarko Zavrtanik, Danilo Zavrtanik, Gabrijela Zaharijas, Lili Yang, Serguei Vorobiov, Samo Stanič, Gašper Kukec Mezek, Christopher Eckner, D. Nieto, 2017, objavljeni znanstveni prispevek na konferenci Najdeno v: ključnih besedah
Ključne besede: CTA, event classification, deep learning
Objavljeno: 16.02.2018; Ogledov: 2744; Prenosov: 136
Polno besedilo (313,07 KB) |
8. |
9. How the lack of negative input affects processing of complex syntax by advanced second language learnersArtur Stepanov, predavanje na tuji univerzi Najdeno v: ključnih besedah
Povzetek najdenega: ...Second language learning, ultimate attainment, syntax, sentence processing, negative evidence...
Ključne besede: Second language learning, ultimate attainment, syntax, sentence processing, negative evidence
Objavljeno: 18.01.2019; Ogledov: 2750; Prenosov: 0
Polno besedilo (205,89 KB) |
10. e-Learning Experiment: Web Conference Activities in Teaching at a Traditional Universitytanja urbančič, Barbara Koroušić-Seljak, Matjaž Mozetič, Donatella Gubiani, 2019, izvirni znanstveni članek Najdeno v: ključnih besedah
Ključne besede: e-learning, higher education, universities digital transformation, web conferencing, open-source tools
Objavljeno: 07.05.2020; Ogledov: 2250; Prenosov: 0
Polno besedilo (1,70 MB) |
