Image Captioning, the task of automatic generation of image captions, has attracted attentions from researchers in many fields of computer science, being computer vision, natural language processing and machine learning in recent years. This paper contributes to research on Image Captioning task in terms of extending dataset to a different language - Vietnamese. So far, there is no existed Image Captioning dataset for Vietnamese language, so this is the foremost fundamental step for developing Vietnamese Image Captioning. In this scope, we first build a dataset which contains manually written captions for images from Microsoft COCO dataset relating to sports played with balls, we called this dataset UIT-ViIC. UIT-ViIC consists of 19,250 Vietnamese captions for 3,850 images. Following that, we evaluate our dataset on deep neural network models and do comparisons with English dataset and two Vietnamese datasets built by different methods. UIT-ViIC is published on our lab website for research purposes.
Emotion Recognition for Vietnamese Social Media Text
University of Information Technology, VNU-HCM（胡志明市信息技术大学（VNU-HCM））；Vietnam National University, Ho Chi Minh City（越南胡志明市国家大学）；University of Social Sciences and Humanities, VNU-HCM（胡志明市社会科学与人文大学（VNU-HCM））；Multimedia Communications Laboratory, University of Information Technology, VNU-HCM（胡志明市信息技术大学多媒体通信实验室（VNU-HCM））
