Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network

Distinguishing between antonyms and synonyms is a key task to achieve high performance in NLP systems. While they are notoriously difficult to distinguish by distributional co-occurrence models, pattern-based methods have proven effective to differentiate between the relations. In this paper, we present a novel neural network model AntSynNET that exploits lexico-syntactic patterns from syntactic parse trees. In addition to the lexical and syntactic information, we successfully integrate the distance between the related words along the syntactic path as a new pattern feature. The results from classification experiments show that AntSynNET improves the performance over prior pattern-based methods.Comment: EACL 2017, 10 page

Basel III and the risk management of banks in Vietnam

2013 dissertation for MSc in Finance and Risk Management. Selected by academic staff as a good example of a masters level dissertation. Commercial banking system of Vietnam is the lifeblood of the economy and considered to be one of very sensitive areas. Hence it is always faced with the problems of risk in business activity as credit risk, liquidity risk, interest rate risk, etc. The last time, the complex evolution of the economy such as high inflation accompanied by speculation was the premise for risk gradually revealed. In this situation, it required banks to quickly identify, detect risks to the banking business to timely process. In summary, to commercial banking system of Vietnam become highly competitive, dynamic, and implement operational goals safely and effectively in business, research and apply solutions to prevent and limit risks in the business activities of commercial banks of Vietnam is sorely needed, namely, the application of the standards of the Basel accord on banking management. However, the application of stringent standards of Basel is not a simple task for a country with developing economy such as Vietnam. By analyzing the performance of banks in Vietnam in recent, it is possible to evaluate the real capacity of the banks and find appropriate solutions for the improvement of Vietnam's banking system

AN EFFECTIVE REVERSIBLE DATA HIDING METHOD BASED ON PIXEL-VALUE-ORDERING

This paper presents a new effective reversible data hiding method based on pixel-value-ordering (iGePVO-K) which is improvement of a recent GePVO-K method that recently is considered as a PVO-used method having highest embedding capacity. In comparison with GePVO-K method, iGePVO-K has the following advantages. First, the embedding capacity of the new method is higher than that of GePVO-K method by using data embedding formulas reasonably and reducing the location map size. Second, for embedding data, in the new method, each pixel value is modified at most by one, while in GePVO-K method, each pixel value may be modified by two. In fact, in the GePVO-K method, the largest pixels are modified by two for embedding bits 1 and by one for bits 0. This is also true for the smallest pixels. Meanwhile, in the proposed method, the largest pixels are modified by one for embedding bits 1 and are unchanged if embedding bits 0. Therefore, the stego-image quality in proposed method is better than that in GePVO-K method. Theoretical analysis and experiment results show that the proposed method has higher embedding capacity and better stego image quality than GePVO-K method

Impact of Internal Control on the Quality of Accounting Information at Enterprises Listed on the Stock Market in Vietnam

Purpose: This study is intended to show the impact of internal control on the quality of accounting information at companies listed on the stock market in Vietnam.   Theoretical framework: We using the multivariate linear regression model between the five independent variables according to five components of internal control in the framework of the COSO 2013 and the dependent variable - accounting information quality according with four attributes namely: appropriateness, reliability, consistency and comparability, completeness and ease of understanding which was presented Susanto in 2016.   Design/methodology/approach: Quantitative research methods are used through questionnaires sent to directors and chief accountants of enterprises. The sample size is 193 valid questionnaires for the period from 2021-2022. Statistical analysis tools, testing the reliability of the scale, exploratory factor analysis, and multiple linear regression are used to evaluate the impact of internal control on the quality of accounting information.   Findings: The research results have proved that all hypotheses are accepted and internal control factors have a positive impact on the usefulness of accounting information. In which, the control environment variable has the strongest impact with the coefficient β5 = 0.276, followed by the monitoring activity variable with the coefficient β5 = 0.258. The risk assessment variable has the impact level of β2 = 0.201; the information, communication and control variables have the lowest impact with the coefficients of β4 = 0.175 and β3 = 0.141, respectively.   Research, Practical & Social implications: The study has provided a basis to confirm the relationship and direction of impact of internal control on the quality of accounting information at companies listed on the stock market in Vietnam. Thereby, this research gives some recommendations for improving the internal control of enterprises in order to improve the quality of accounting information.   Originality/value: The findings reveal that the quality of internal control plays an important role in increasing the quality of accounting information, ensuring the safety of enterprises' assets, reducing financial fraud, and improving risk prevention

A comparative study of failure criteria in sheet metal forming analysis

Development of predictive capabilities of forming failure can help not only to reduce the experimental effort of formability characterization but also to accelerate the development of new or improved sheet metal alloys. This paper presents a comparative study on prediction of failures in sheet metals which leads to undesirable localized straining and/or fracture during the stamping process. The theoretical diffuse and localized necking models were applied. Several classical fracture criteria were also studied in the finite element analysis. All these models were used to predict the onset of failure and compare with the experimental cases. Comparison and validity of different failure criteria was discussed