Flaming and trolling as a type of cyberaggression: the role structure and features of digital sociality

2021 ◽  
Vol 42 (3) ◽  
Keyword(s):  
Role Structure

Study of Role Structure of Primary School Teachers of East Delhi

2018 ◽  
Vol 27 (2) ◽  
pp. 268-272
Author(s):  
Sushil Kumar Sharma ◽  
Geeta Kandpal ◽  
Narendra Kumar
Keyword(s):  
Primary School ◽  
School Teachers ◽  
Primary School Teachers ◽  
Role Structure

Role Structure of Dual Career Families

1981 ◽  
Vol 12 (3) ◽  
pp. 329-336 ◽  
Author(s):  
Akiko Fuse
Keyword(s):  
Dual Career ◽  
Role Structure

Identity Development and the Role Structure of Children's Games

1989 ◽  
Vol 150 (1) ◽  
pp. 19-37 ◽  
Author(s):  
Roy F. Baumeister ◽  
Pamela S. Senders
Keyword(s):  
Identity Development ◽  
Role Structure

scholarly journals Features of the Role Structure and Relationships in Korean and Russian Couples

2020 ◽  
Vol 14 (2) ◽  
pp. 137-149
Author(s):  
Vlada Pishchik ◽  
Irina Li
Keyword(s):  
Married Couple ◽  
Married Couples ◽  
Family Counseling ◽  
Psychological Climate ◽  
Modern World ◽  
Financial Responsibility ◽  
Family Attitudes ◽  
Role Structure ◽  
Korean Families ◽  
Internal Arrangement

The modern world leads to collapse of the marriage institution. It causes a lot of problems. One of them raises the question of how ethnic culture preserves the relationships in married couples within traditional framework if these couples live in a different national cultural; environment. Both Russian and Korean are collectivism cultures. However, in Russia individualism is spreading very quickly among young people. In Korean families elderly people have a big influence, they adhere to Confucianism. Russians have more democratic relations and adhere to Christianity. We tried to prove that Korean couples still have traditional marital roles, relationships, and attitudes. The purpose of the study is to compare the role structure, features of the husband-wife relationship, and attitudes in the Russian and Korean married couples living in Russia. Russian and Korean family roles are considered in the article, as well as the features of family attitudes that characterize the type of family and describe the mentality of Russians and Koreans. A comparative cross-methodology was applied within pairs and between Korean and Russian pairs, and data was factorized. The sample consisted of n = 80 participants. We used the following methods: measurement of roles in a family; study of understanding relationships, emotional attraction and authoritarianism; attitudes towards love, children, money, and divorce. The scientific novelty of the research is expressed in the fact that the comparison with various aspects of the structure of roles and relationships in modern Korean and Russian couples is carried out, the members of married couples of both nationalities are compared. The study showed that Russians and Koreans living in Russia have become very similar in their lifestyle, but they differ in the internal arrangement of the family, role preferences and attitudes in a married couple, especially in relation to children, sex, psychological climate and financial responsibility. The data obtained can be used in family counseling and therapy.

scholarly journals Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13757-13758
Author(s):  
Ritwik Bose ◽  
Siddharth Vashishtha ◽  
James Allen
Keyword(s):  
Semantic Representation ◽  
Word Sense Disambiguation ◽  
Logical Form ◽  
Word Sense ◽  
Semantic Parsing ◽  
Role Structure ◽  
Sense Disambiguation ◽  
The Rich ◽  
Form Graph ◽  
Logical Semantic

A Semantic Parser generates a logical form graph from an utterance where the edges are semantic roles and nodes are word senses in an ontology that supports reasoning. The generated representation attempts to capture the full meaning of the utterance. While the process of parsing works to resolve lexical ambiguity, a number of errors in the logical forms arise from incorrectly assigned word sense determinations. This is especially true in logical and rule-based semantic parsers. Although the performance of statistical word sense disambiguation methods is superior to the word sense output of semantic parser, these systems do not produce the rich role structure or a detailed semantic representation of the sentence content. In this work, we use decisions from a statistical WSD system to inform a logical semantic parser and greatly improve semantic type assignments in the resulting logical forms.

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