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1
Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages ...
Ulčar, Matej; Robnik-Šikonja. - : Zenodo, 2022
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Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages ...
Ulčar, Matej; Robnik-Šikonja. - : Zenodo, 2022
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3
Word-embedding based bilingual terminology alignment ...
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4
Word-embedding based bilingual terminology alignment ...
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5
List of single-word male and female occupations in Slovenian
Supej, Anka; Ulčar, Matej; Robnik-Šikonja, Marko. - : Jožef Stefan Institute, 2021. : Faculty of Computer and Information Science, University of Ljubljana, 2021
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SloBERTa: Slovene monolingual large pretrained masked language model ...
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SloBERTa: Slovene monolingual large pretrained masked language model ...
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8
Evaluation of contextual embeddings on less-resourced languages ...
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9
Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages ...
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10
Slovenian RoBERTa contextual embeddings model: SloBERTa 1.0
Ulčar, Matej; Robnik-Šikonja, Marko. - : Faculty of Computer and Information Science, University of Ljubljana, 2020
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11
CroSloEngual BERT
Ulčar, Matej; Robnik-Šikonja, Marko. - : Faculty of Computer and Information Science, University of Ljubljana, 2020
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12
A Resource for Evaluating Graded Word Similarity in Context: CoSimLex
Armendariz, Carlos; Matthew, Purver; Ulčar, Matej. - : Queen Mary University, 2020
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13
CroSloEngual BERT 1.1
Ulčar, Matej; Robnik-Šikonja, Marko. - : Faculty of Computer and Information Science, University of Ljubljana, 2020
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14
FinEst BERT and CroSloEngual BERT: less is more in multilingual models ...
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15
Multilingual Culture-Independent Word Analogy Datasets ...
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16
Multilingual Culture-Independent Word Analogy Datasets ...
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17
SemEval-2020 Task 3: Graded Word Similarity in Context
Santos Armendariz, Carlos; Purver, Matthew; Pollak, Senja. - : International Committee for Computational Linguistics, 2020. : https://www.aclweb.org/anthology/2020.semeval-1.3, 2020. : Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), 2020
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18
ELMo embeddings models for seven languages
Ulčar, Matej. - : Faculty of Computer and Information Science, University of Ljubljana, 2019
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19
Multilingual Culture-Independent Word Analogy Datasets
Ulčar, Matej; Vaik, Kristiina; Lindström, Jessica. - : Faculty of Computer and Information Science, University of Ljubljana, 2019
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20
ELMo embeddings model, Slovenian
Ulčar, Matej. - : Faculty of Computer and Information Science, University of Ljubljana, 2019
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