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The Use of Audio Recording during Lectures by E.M.P Students and its Effect on the Learning Process
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In: ALTRALANG Journal; Vol 2 No 02 (2020): ALTRALANG Journal Volume: 02 Issue: 02 / December 2020; 299-307 ; 2710-8619 ; 2710-7922 (2020)
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An evaluation of the English Placement Writing Test using students' self-assessments and instructors' judgments
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In: Graduate Theses and Dissertations (2020)
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Multilinguale Herausforderungen in der Sacherschließung ...
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Forschungsdokumentation zur Studie "Multilinguale Herausforderungen in der Sacherschließung - ein Retrievaltest an einem mehrsprachigen Bibliotheksbestand" ...
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Age, Task Characteristics, and Acoustic Indicators of Engagement: Investigations into the Validity of a Technology-Enhanced Speaking Test for Young Language Learners ...
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L'analyse spatiale des services sanitaires : Cas de la région de Guelmim - Oued Noun ...
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L'analyse spatiale des services sanitaires : Cas de la région de Guelmim - Oued Noun ...
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Examining the Scientific Productivity of Authors in Dyslexia Research: A Study Using Lotka's Law ...
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Examining the Scientific Productivity of Authors in Dyslexia Research: A Study Using Lotka's Law ...
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Objective and behavioural measures of temporal processing in cochlear implant users. ...
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Video recordings for the female German Matrix Sentence Test (OLSA) ...
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Video recordings for the female German Matrix Sentence Test (OLSA) ...
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The Supplementary Motor Area Responsible for Word Retrieval Decline After Acute Thalamic Stroke Revealed by Coupled SPECT and Near-Infrared Spectroscopy
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In: Brain Sciences ; Volume 10 ; Issue 4 (2020)
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Computational Modeling for Neuropsychological Assessment of Bradyphrenia in Parkinson’s Disease
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In: Journal of Clinical Medicine ; Volume 9 ; Issue 4 (2020)
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A Review on Alkali-Silica Reaction Evolution in Recycled Aggregate Concrete
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In: Materials ; Volume 13 ; Issue 11 (2020)
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Assessment of Word-Level Neural Language Models for Sentence Completion
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In: Applied Sciences ; Volume 10 ; Issue 4 (2020)
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Abstract:
The task of sentence completion, which aims to infer the missing text of a given sentence, was carried out to assess the reading comprehension level of machines as well as humans. In this work, we conducted a comprehensive study of various approaches for the sentence completion based on neural language models, which have been advanced in recent years. First, we revisited the recurrent neural network language model (RNN LM), achieving highly competitive results with an appropriate network structure and hyper-parameters. This paper presents a bidirectional version of RNN LM, which surpassed the previous best results on Microsoft Research (MSR) Sentence Completion Challenge and the Scholastic Aptitude Test (SAT) sentence completion questions. In parallel with directly applying RNN LM to sentence completion, we also employed a supervised learning framework that fine-tunes a large pre-trained transformer-based LM with a few sentence-completion examples. By fine-tuning a pre-trained BERT model, this work established state-of-the-art results on the MSR and SAT sets. Furthermore, we performed similar experimentation on newly collected cloze-style questions in the Korean language. The experimental results reveal that simply applying the multilingual BERT models for the Korean dataset was not satisfactory, which leaves room for further research.
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Keyword:
BERT; bidirectional RNN; cloze test; Korean dataset; machine comprehension; neural language model; sentence completion
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URL: https://doi.org/10.3390/app10041340
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A Multifaceted Explanation of the Predisposition to Buy Organic Food
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In: Foods ; Volume 9 ; Issue 2 (2020)
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Examining the Validity of the LexTALE Test for Japanese College Students
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