This paper puts forward theme analysis problem in order to automatically solve composition writing questions in Chinese college entrance examination. Theme analysis is to distillate the embedded semantic information from the given materials or documents. We proposes a hierarchical neural network framework to address this problem. Two deep learning based models under the proposed framework are p...

Attention-based Transformer models have been increasingly employed for automatic music generation. To condition the generation process of such a model with user-specified sequence, popular approach is to take that conditioning sequence as priming and ask decoder generate continuation. However, this prompt-based cannot guarantee would develop or even simply repeat itself in generated In p...

abstract background: the broad spectrum of problems caused by multiple sclerosis (ms) imposes heavy responsibility to caregivers in caring of their patients. therefore, they encounter many issues and challenges in this situation. the purpose of this study was to explore the experiences and challenges of ms family caregivers. materials and methods: a qualitative design, based on a thematic analy...

The concept of theme is critical to the accurate interpretation of qualitative data. A literature review of qualitative research methodology and nursing research studies reveals considerable diversity in the identification of themes, the interpretation of the concept, and its function in data analysis. Part of the problem is the transfer of research methods from other disciplines to the study o...

In this study, the directed (deductive) content analysis approach was adopted to explore the components of translator trainers’ competencies through in-depth individual semistructured interviews conducted with 10 expert Iranian translator trainers at different universities around Iran. Theoretical model was the translator trainer profile proposed by The European Master’s in Translation (EMT) Gr...