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ИНТЕРАКТИВНЫЙ МЕТОД НА ОСНОВЕ МНЕМОНИКИ ДЛЯ ИЗУЧЕНИЯ СЛОВАРНОГО ЗАПАСА ЯПОНСКОГО ЯЗЫКА ...
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ИНТЕРАКТИВНЫЙ МЕТОД НА ОСНОВЕ МНЕМОНИКИ ДЛЯ ИЗУЧЕНИЯ СЛОВАРНОГО ЗАПАСА ЯПОНСКОГО ЯЗЫКА ...
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Phonetic accommodation of human interlocutors in the context of human-computer interaction ...
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CLIL e recursos hipersensoriais personalizados: simbiose perfeita de ensino e aprendizagem de Inglês no 1.º Ciclo do Ensino Básico
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Tripartitions of the first person space (English speakers, Condition 1) ...
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Sentence Level Embedding Detoxification via Toxic Component Removal ...
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: University of Virginia, 2022
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Photographie de l’inscription « Subrito dôron » découverte au Cailar (Gard) ...
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Réjane Roure. - : NAKALA - https://nakala.fr (Huma-Num - CNRS), 2022
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Photographie de l’inscription « Subrito dôron » découverte au Cailar (Gard) ...
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Réjane Roure. - : NAKALA - https://nakala.fr (Huma-Num - CNRS), 2022
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Viewing angle in novice L2 lexical learning in British Sign Language (BSL) ...
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The Dark Side of the Language: Pre-trained Transformers in the DarkNet ...
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Discontinuous Constituency and BERT: A Case Study of Dutch ...
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Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis ...
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Improving Word Translation via Two-Stage Contrastive Learning ...
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nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models ...
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Learning grammar with a divide-and-concur neural network ...
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Self-Supervised Representation Learning for Speech Using Visual Grounding and Masked Language Modeling ...
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Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding ...
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Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction ...
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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 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR; Machine Learning cs.LG
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URL: https://arxiv.org/abs/2203.13088 https://dx.doi.org/10.48550/arxiv.2203.13088
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Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs ...
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