With the popularity of mobile internet, people all over world can easily create and publish diverse media content such as multilingual multi-dialectal audio video. Therefore, language or dialect identification (LID) is increasingly important for practical applications cross lingual processing front-end part subsequent tasks speech recognition voice identification. This paper proposes a neural n...

In recent years, multi-modal sentiment analysis has become more and popular in the field of natural language processing. Multi-modal mainly concentrates on text, image audio information. Previous work based BERT utilizes only text representation to fine-tune BERT, while ignoring importance nonverbal Most current research methods are fine-tuning models that do not optimize BERT’s internal struct...

Semantic segmentation for high-resolution remote sensing images is one of the most significant tasks in field applications. Remote contain substantial detailed information ground objects, such as shape, location, and texture. Therefore, these objects make exhibit large intraclass variance small interclass variance, which makes it very difficult to be recognized. In this study, an end-to-end att...