scholarly journals Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach

2022 ◽  
Author(s):  
Neelamadhav Gantayat ◽  
Prateeti Mohapatra
Keyword(s):  
Semantic Role ◽  
Relevance Ranking ◽  
Unsupervised Approach ◽  
Key Phrases

AGENT AND EXPERIENCER IN PUDARNYA PESONA CLEOPATRA NOVEL BY HABIBURRAHMAN EL SHIRAZY: A STUDY OF SEMANTIC ROLE

CALL ◽  
2020 ◽  
Vol 2 (1) ◽  
Author(s):  
R. Myrna Nur Sakinah ◽  
Khaerunnisa Siti Latifah ◽  
Jenny Rahmi Nuraeni
Keyword(s):  
Qualitative Research ◽  
Semantic Role ◽  
The Novel ◽  
Data Source ◽  
Participant Roles

This research purposes at describing the roles of semantic study precisely the roles of agent and experiencer in Pudarnya Pesona Cleopatra novel written by Habiburrahman El Shirazy. The research conducted by the writer is qualitative research. The data of this study are agent and experiencer roles that the data source is taken from Pudarnya Pesona Cleopatra novel written by Habiburrahman El Shirazy published in 2003. The method that is used by the writer to collect the data is documentation with the steps: (1) figure out the sentences that contain agent and experiencer in that novel, (2) classify the types of sentences by investigating the novel. In analyzing data, the writer used Saeed’s theory of participant roles for the major theory. The result of this study shows that there are seventeen patterns that are classified into two roles. They are ten sentences of the agent and seven sentences of the experiencer.Keywords: Semantic, Participant Roles, Agent, Experiencer 

Forms of physical activity of the elderly

2020 ◽  
Vol 18 (3) ◽  
pp. 221-228
Author(s):  
Piotr Czarnecki ◽  
◽  
Justyna Podgórska-Bednarz ◽  
Lidia Perenc ◽  
◽  
...  
Keyword(s):  
Physical Activity ◽  
Elderly People ◽  
Population Aging ◽  
Human Life ◽  
Good Health ◽  
The Elderly ◽  
Polish Society ◽  
Central Statistical ◽  
Key Phrases ◽  
The Impact

Introduction. Physical activity is known to be an important factor influencing health throughout human life. This issue has become crucial for public health due to the aging of the population in both developed and developing countries. Aim. is to present a literature review on the forms of physical activity undertaken by the elderly, as well as on issues related to physical activity and the population aging. Material and methods. The study was prepared on the basis of a review of Polish and foreign literature. The following databases and data sources were used: EBSCO, ScienceDirect and Google Scholar. An additional source of data were the websites of the Central Statistical Office. Strictly defined key phrases were used during the collection of literature. The work has been divided into thematic subsections on the aging of the society, the impact of physical activity on health and the main topic, i.e. forms of physical activity selected by the elderly. Analysis of the literature. The number of elderly people in Polish society has increased by almost 3.7 million over three decades. Therefore, an important topic is prophylaxis aimed at increasing the number of days in good health, largely covering the broadly understood activation of the elderly. The available data indicate that only 12% of elderly people undertake physical activity once a week. The most common form of spending free time actively is walking (as many as 73% of people in this population declare this form of physical activity in one of the presented studies). Conclusion. Organized forms of physical activity are undertaken much less frequently by the analyzed age group mainly due to financial limitations and limited availability of sports infrastructure.

Chinese Semantic Role Labeling Based on Feature Combination

2011 ◽  
Vol 22 (2) ◽  
pp. 222-232 ◽  
Author(s):  
Shi-Qi LI ◽  
Tie-Jun ZHAO ◽  
Han-Jing LI ◽  
Peng-Yuan LIU ◽  
Shui LIU
Keyword(s):  
Semantic Role ◽  
Feature Combination ◽  
Semantic Role Labeling

scholarly journals CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics

2021 ◽  
Author(s):  
Angelo Salatino ◽  
Francesco Osborne ◽  
Enrico Motta
Keyword(s):  
Computer Science ◽  
Digital Libraries ◽  
Gold Standard ◽  
Research Trends ◽  
Alternative Methods ◽  
Relevant Research ◽  
Research Topics ◽  
Research Papers ◽  
Research Areas ◽  
Unsupervised Approach

AbstractClassifying scientific articles, patents, and other documents according to the relevant research topics is an important task, which enables a variety of functionalities, such as categorising documents in digital libraries, monitoring and predicting research trends, and recommending papers relevant to one or more topics. In this paper, we present the latest version of the CSO Classifier (v3.0), an unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive taxonomy of research areas in the field of Computer Science. The CSO Classifier takes as input the textual components of a research paper (usually title, abstract, and keywords) and returns a set of research topics drawn from the ontology. This new version includes a new component for discarding outlier topics and offers improved scalability. We evaluated the CSO Classifier on a gold standard of manually annotated articles, demonstrating a significant improvement over alternative methods. We also present an overview of applications adopting the CSO Classifier and describe how it can be adapted to other fields.

scholarly journals A deep learning unsupervised approach for fault diagnosis of household appliances

2020 ◽  
Vol 53 (2) ◽  
pp. 10749-10754
Author(s):  
Francesco Cordoni ◽  
Gianluca Bacchiega ◽  
Giulio Bondani ◽  
Robert Radu ◽  
Riccardo Muradore
Keyword(s):  
Deep Learning ◽  
Fault Diagnosis ◽  
Household Appliances ◽  
Unsupervised Approach
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