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141
ИНТЕРАКТИВНЫЙ МЕТОД НА ОСНОВЕ МНЕМОНИКИ ДЛЯ ИЗУЧЕНИЯ СЛОВАРНОГО ЗАПАСА ЯПОНСКОГО ЯЗЫКА ...
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142
ИНТЕРАКТИВНЫЙ МЕТОД НА ОСНОВЕ МНЕМОНИКИ ДЛЯ ИЗУЧЕНИЯ СЛОВАРНОГО ЗАПАСА ЯПОНСКОГО ЯЗЫКА ...
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143
Phonetic accommodation of human interlocutors in the context of human-computer interaction ...
Gessinger, Iona. - : Universität des Saarlandes, 2022
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144
CLIL e recursos hipersensoriais personalizados: simbiose perfeita de ensino e aprendizagem de Inglês no 1.º Ciclo do Ensino Básico
Figueiredo, Maria Virgínia Pereira de. - : Instituto Politécnico do Porto. Escola Superior de Educação, 2022
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145
Tripartitions of the first person space (English speakers, Condition 1) ...
Maldonado, Mora. - : Open Science Framework, 2022
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146
Sentence Level Embedding Detoxification via Toxic Component Removal ...
: University of Virginia, 2022
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147
Photographie de l’inscription « Subrito dôron » découverte au Cailar (Gard) ...
Réjane Roure. - : NAKALA - https://nakala.fr (Huma-Num - CNRS), 2022
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148
Photographie de l’inscription « Subrito dôron » découverte au Cailar (Gard) ...
Réjane Roure. - : NAKALA - https://nakala.fr (Huma-Num - CNRS), 2022
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149
Viewing angle in novice L2 lexical learning in British Sign Language (BSL) ...
Watkins, Freya. - : Open Science Framework, 2022
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150
The Dark Side of the Language: Pre-trained Transformers in the DarkNet ...
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151
Discontinuous Constituency and BERT: A Case Study of Dutch ...
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152
Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis ...
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153
Improving Word Translation via Two-Stage Contrastive Learning ...
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154
nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models ...
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155
Learning grammar with a divide-and-concur neural network ...
Deyo, Sean; Elser, Veit. - : arXiv, 2022
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156
Self-Supervised Representation Learning for Speech Using Visual Grounding and Masked Language Modeling ...
Peng, Puyuan; Harwath, David. - : arXiv, 2022
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157
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding ...
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158
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction ...
Abstract: Recent progress in neural information retrieval has demonstrated large gains in effectiveness, while often sacrificing the efficiency and interpretability of the neural model compared to classical approaches. This paper proposes ColBERTer, a neural retrieval model using contextualized late interaction (ColBERT) with enhanced reduction. Along the effectiveness Pareto frontier, ColBERTer's reductions dramatically lower ColBERT's storage requirements while simultaneously improving the interpretability of its token-matching scores. To this end, ColBERTer fuses single-vector retrieval, multi-vector refinement, and optional lexical matching components into one model. For its multi-vector component, ColBERTer reduces the number of stored vectors per document by learning unique whole-word representations for the terms in each document and learning to identify and remove word representations that are not essential to effective scoring. We employ an explicit multi-task, multi-stage training to facilitate using very ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR; Machine Learning cs.LG
URL: https://arxiv.org/abs/2203.13088
https://dx.doi.org/10.48550/arxiv.2203.13088
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159
Can Rationalization Improve Robustness? ...
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160
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs ...
Shang, Chao; Wang, Guangtao; Qi, Peng. - : arXiv, 2022
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