Vietnam Academy of Social Sciences

About: Vietnam Academy of Social Sciences is a education organization based out in Hanoi, Vietnam. It is known for research contribution in the topics: Vietnamese & Poverty. The organization has 228 authors who have published 222 publications receiving 1690 citations. The organization is also known as: VASS.

Understanding Role of Information and Communication Technology Application in Vietnam’s Prevention and Control of COVID-19 Pandemic

Abstract: Information and communication technology (ICT) is a combination stressing the important role in the prevention of COVID-19 in Vietnam. This article shows that the communication has greatly contributed towards the success of anti-pandemic propaganda campaign encouraging the spread of message “Fighting the pandemic is like fighting against the enemy” and getting enthusiastic response nationwide. Additionally, a wide variety of applications for warning and detecting new cases has been created. Information technology also has great significance for digital transformation in some public services that previously required the direct participation and contact of the people, thereby helping alleviate the risk of infection with corona virus. However, certain negative impacts of a strong and drastic propaganda strategy of the media on people’s psychology are readily visible. At the same time, any low efficiency of ICT applications for digitizing public services and detecting new cases is another constraint that needs improvement if Vietnam desires to maintain a good performance in the fight against COVID-19 as in the first stage.

Self-reported psychological distress among caregivers of patients with cancer: Findings from a health facility-based study in Vietnam 2019:

Abstract: In Vietnam, little is elucidated in scientific literatures about the mental health of caregivers of people with cancer. We conducted a cross-sectional study to report the situation and correlates o...

India–Vietnam Relations since September 2016: From the Symbolic to Practical Results

Abstract: Fifteen years after the official visit to Vietnam of the former Indian Prime Minister A. B. Vajpayee, Prime Minister Narendra Modi made an official visit to Vietnam on 2–3 September 2016. The visit to Vietnam of Prime Minister Modi has upgraded bilateral relations between Vietnam and India from ‘strategic partnership’ to ‘Comprehensive Strategic Partnership’, marking a new development in the relationship between the two countries. According to the Spokesman of the Ministry of External Affairs of India, Vikas Swarup, Prime Minister Modi’s visit has set a ‘new benchmark for India-Vietnam ties which will take the relationship to a whole new level’ (Sarma 2016). Development in political relations has resulted in similar developments in economic, defence and other fields of cooperation between the two sides. This article looks at the new developments in India–Vietnam relations after the visit of the Prime Minister Modi to Vietnam.

On the Effects of Monetary Policy in Vietnam: Evidence from a Trilemma Analysis

Abstract: During and after the 2008-2009 global financial crisis, the growth cycle of Vietnam’s economy has shifted from an average annual growth rate of 7%-8% to an average annual growth rate of 5%-6% with a high level of macroeconomic instability and uncertainty from 2009 till 2016. Related studies have speculated that the operations of monetary policies during this period were not effective in recovering the economic growth and stabilizing the overall price level and total output level. This paper provides the first empirical examination of this speculation using the Trilemma framework. Our empirical results show that the State Bank of Vietnam has had adopted a set of policies aiming at maintaining exchange rate stability and interest rate independence while easing the restrictions on capital inflows. The combination of these three monetary policy approaches is found to violate the rule of Trilemma. Consequently, exchange rate and interest rate policies became less effective and failed to stabilize the economy in response to the global economic recession.

Antonyms-Synonyms Discrimination Based on Exploiting Rich Vietnamese Features.

Abstract: Antonymy and Synonymy are paradigmatic relations which are in the core problems of language. Distinguishing antonyms from synonyms is a key task to achieve high performance in natural language processing systems. Distinguishing between antonyms and synonyms is a hard problem because the co-occurrence distributions of the antonyms or synonyms tend to be highly similar. On the other hand, this issue has been thoroughly studied in English. However, it has not been effectively addressed for Vietnamese. Compared to English, Vietnamese has its own word-level characteristics that indicate the synonymous or antonymous relation. In this paper, we introduce a framework which exploits exhaustively special Vietnamese features to distinguish between antonyms from synonyms. We propose a deep neural network model (ViASNet) that can utilize not only lexico-syntactic information captured from the context of word pairs in a corpus but also its word-level features, and distribution features as well. The experimental results show that the proposed method is effective. Furthermore, our method achieved high performance in comparison to several the state of the art methods.