The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition

This paper presents a state-of-the-art system for Vietnamese Named Entity Recognition (NER). By incorporating automatic syntactic features with word embeddings as input for bidirectional Long Short-Term Memory (Bi-LSTM), our system, although simpler than some deep learning architectures, achieves a much better result for Vietnamese NER. The proposed method achieves an overall F1 score of 92.05% on the test set of an evaluation campaign, organized in late 2016 by the Vietnamese Language and Speech Processing (VLSP) community. Our named entity recognition system outperforms the best previous systems for Vietnamese NER by a large margin.Comment: 7 pages, 9 tables, 3 figures, accepted to PACLIC 201

SURVEYING THE VIETNAMESE YOUTH ON THE NEGATIVE IMPACT OF SOCIAL MEDIA

In the context of globalization and the rapid development of the Internet, social networks have become an indispensable part of the lives of citizens in the 21st century. In addition to helping people communicate and connect, wireless platforms bring benefits to work, study, and entertainment. However, faced with the staggering increase in the use of social networks, many argue that they can have negative impacts on users, particularly those who are studying or working. This study aims to provide readers with an overview of the negative impacts of social networks on Vietnamese youth. The research data was collected by gathering reputable sources and surveying young people born between 1995 and 2010, belonging to Generation Z, who are living, studying, and working in major cities in Vietnam and using social networks. Through statistical analysis and data processing, the results show that the use of communication platforms has a negative impact on the productivity and health of Vietnamese youth. To minimize the negative impacts on daily life, young people should consider the amount of time they spend using social networks and the content they publish. Additionally, protecting personal information and building positive communities is necessary to avoid unnecessary risks

Observation of High Doppler Velocity Wings in the Nascent Wind of R Doradus

We study the morpho-kinematics in the nascent wind of AGB star R Doradus in the light of high Doppler velocity wings observed in the spectral lines of several species. We probe distances from the star between ∼10 and ∼100 au using ALMA observations of the emission of five different molecular lines. High Doppler velocity enhancements of the line emission are observed in the vicinity of the line of sight crossing the star, reminiscent of those recently interpreted as gas streams in the nascent wind of a similar AGB star, EP Aqr. They are present in both blue-shifted and red- shifted hemispheres but are not exactly back-to-back. They are accelerated at a typical rate of 0.7 km s$^{−1}$ au$^{−1}$ up to some 20 km s$^{−1}$. Important differences are observed between the emissions of different molecules. We exclude an effect of improper continuum subtraction. However, in contrast to EP Aqr, the line of sight plays no particular role in the R Dor morpho-kinematics, shedding doubt on the validity of a gas stream interpretation. We discuss possible interpretations in terms of stellar pulsations or of rotation of the gas in the environment of the star. We conclude that, in the state of current knowledge, no fully convincing picture of the physics governing the production of such high velocities, typically twice as large as the terminal velocity, can be reliably drawn. New high resolution analyses of observations of the nascent wind of oxygen-rich AGB stars are needed to clarify the issue