The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...
Department of Applied Mathematics and Computer Science, E. A. Buketov Karaganda University, Karaganda, Kazakhstan In accordance with the requirements of the IT sector, higher education is aimed at ...
Purpose: This study aimed to explore the effect of the order of two learning methods (one based on implicit and another on explicit learning) on students' enjoyment and ability to acquire motor skills ...
Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...
ABSTRACT: This study focuses on the application of Task-based Language Teaching (TBLT) in Integrated English classroom instruction. As a “learning by doing” language teaching method that emerged in ...
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