Development of Automatic Rule-based Semantic Tagger and Karaka Analyzer for Hindi

Hindi is the third most-spoken language in the world (615 million speakers) and has the fourth highest native speakers (341 million). It is an inflectionally rich and relatively free word-order language with an immense vocabulary set. Despite being such a celebrated language across the globe, very few Natural Language Processing (NLP) applications and tools have been developed to support it computationally. Moreover, most of the existing ones are not efficient enough due to the lack of semantic information (or contextual knowledge). Hindi grammar is based on Paninian grammar and derives most of its rules from it. Paninian grammar very aggressively highlights the role of karaka theory in free-word order languages. In this article, we present an application that extracts all possible karakas from simple Hindi sentences with an accuracy of 84.2% and an F1 score of 88.5%. We consider features such as Parts of Speech tags, post-position markers (vibhaktis), semantic tags for nouns and syntactic structure to grab the context in different-sized word windows within a sentence. With the help of these features, we built a rule-based inference engine to extract karakas from a sentence. The application takes in a text file with clean (without punctuation) simple Hindi sentences and gives back karaka tagged sentences in a separate text file as output.

Neoliberal Approach in Higher Education

Differentiation strategies face higher uncertainty and dynamism because of design and functionality of their service in higher education. This is closely related with contextual knowledge and neoliberal approach. Researchers provide the contextual knowledge of neoliberal approach in Pakistan and state of social justice regarding higher education in the country. Neoliberal approach in education has been identified as a new trend in developing countries. Business approach in education has started treating education as a commodity and students as a costumer. Knowledge-based economy is one of the strongest factors influencing the neoliberal approach in higher education. There are certain circumstances for adaptation of this approach in higher education; however, the intellectual community needs to be aware of the pros of this approach. Humanitarian approach need to be taken care of by the government bodies in higher education. Ethical and leadership programs based on agile management may be helpful for faculty members to reduce social injustice through their teaching approach.

BUSINESS SUSTAINABILITY PRACTICE AND OPERATIONAL MANAGEMENT INHOTEL INDUSTRY IN AQABA SPECIAL AUTHORITY ECONOMIC ZONE AUTHORITY (ASEZA)

The objectives of this paper are to explore the understanding of tourism through business sustainability through the management of the environmental and operating practices of five-star hotels in Aqaba Jordan. Data would be obtained from a variety of outlets, including paper analyses, impressions, and questionnaires. Semi-structured interviews are typically used to retrieve and supply details. The primary purpose of such interviews is to collect contextual knowledge from the sampled community. It also seeks to include useful knowledge on specific problems and to gain a range of perspectives on specific issues. It is planned to pilot the paper and pencil surveys and the test details to be gathered by field visits and semi-structured interviews. The findings reveal that hotels in Aqaba have used reuse or recycle glass or plastics. In order to encourage sustainable practices in the hotel industry in Jordan, we need to build distinction and competitive advantages by cost savings. The sustained success of economic operations is of utmost importance to companies, whether in the production or service sectors. This emphasis on sustainability is especially relevant to the growth of tourism and hospitality destinations. Established and Emerging economies have embraced environmental and organizational sustainability as a core.

EXTRACTING TOPICS FROM A TV CHANNEL'S FACEBOOK PAGE USING CONTEXTUALIZED DOCUMENT EMBEDDING

Topic models extract meaningful words from text collection, allowing for a better understanding of data. However, the results are often not coherent enough, and thus harder to interpret. Adding more contextual knowledge to the model can enhance coherence. In recent years, neural network-based topic models become available, and the development level of the neural model has developed thanks to BERT-based representation. In this study, we suggest a model extract news on the Aljazeera Facebook page. Our approach combines the neural model (ProdLDA) and the Arabic Pre-training BERT transformer model (AraBERT). Therefore, the proposed model produces more expressive and consistent topics than ELMO using different topic model algorithms (ProdLDA and LDA) with 0.883 in topic coherence.

The role of historical and contextual knowledge in enterprise search

PurposeThe purpose of the study is to examine enterprise searching practices across different work areas and work tasks in an enterprise search system in an international biotechnology company.Design/methodology/approachA mixed-method approach studying employees' authentic search activities during a 4-month period by log data, questionnaire survey and interviews. The log data analysed the entire active searcher group, whereas the questionnaire and interviews focused on frequent searchers.FindingsThe three studies provided insight into the searching activities and an understanding of the way searchers used the enterprise search system to search for information as part of their work tasks. The data identified three searcher groups, each with specific search characteristics. Four work task types were identified, and for all four types the searchers applied a tracing searching technique with use of contextual and historical relationships as paths.Practical implicationsThe findings point to the importance of knowledge on historical and contextual relations in enterprise search.Originality/valueThe work sheds new light on enterprise searchers' information search practices. A significant contribution is the identification of a tracing search method used in relation to four essential work task types. Another contribution is the importance of historical and contextual knowledge to support the tracing search and decide what paths to follow.

Clients Coming Out – Men speak out about purchasing sex in New Zealand’s decriminalised environment

<p>This thesis explores the client experience of purchasing sex in New Zealand in the context of decriminalisation. This research was conducted at a time when speculation over the impact of decriminalisation on the conduct of clients was at an all-time high. Despite vast speculation by critics, little to no research exists on client populations in New Zealand. This thesis addresses this knowledge gap and offers an initial insight into the experiences of clients in this context. The research that forms the basis of this thesis involved qualitative semi-structured interviews with 12 men and women who purchase sex in New Zealand, along with three key informants with broader contextual knowledge of clients. The clients interviewed constituted a diverse group, and in many ways, they challenged common stereotypes. For example, while all participants were motivated by sexual desire, half the sample placed more significance on their desire for human interaction. Hegemonic masculinity was also discussed as motivating their engagements with the sex industry. The interviews also revealed the impacts of purchasing sex on participants, which related more to their interactions with sex workers than the physical act of having sex. Lastly, the research explored participants’ interactions with sex workers under decriminalisation, finding that they emphasised clear communication, respect of sex worker’s boundaries, and a desire to purchase sex ethically. There are three key conclusions of this thesis. Firstly, that client stereotypes are inapplicable to the entire client population as the participants challenged many and provided support for the ‘every man perspective’. Second, that support exists for non-sexual client motivations, and following the impacts participants discussed, sex workers and their services can be considered therapeutic and supporting the well-being of participants. Lastly, that legal context does make a difference on the conduct within sex industries and under decriminalisation. The participants’ conduct was driven by an awareness for sex worker rights and working conditions, thus producing an informed, harm-reductionist approach to purchasing sex.</p>

Clients Coming Out – Men speak out about purchasing sex in New Zealand’s decriminalised environment

<p>This thesis explores the client experience of purchasing sex in New Zealand in the context of decriminalisation. This research was conducted at a time when speculation over the impact of decriminalisation on the conduct of clients was at an all-time high. Despite vast speculation by critics, little to no research exists on client populations in New Zealand. This thesis addresses this knowledge gap and offers an initial insight into the experiences of clients in this context. The research that forms the basis of this thesis involved qualitative semi-structured interviews with 12 men and women who purchase sex in New Zealand, along with three key informants with broader contextual knowledge of clients. The clients interviewed constituted a diverse group, and in many ways, they challenged common stereotypes. For example, while all participants were motivated by sexual desire, half the sample placed more significance on their desire for human interaction. Hegemonic masculinity was also discussed as motivating their engagements with the sex industry. The interviews also revealed the impacts of purchasing sex on participants, which related more to their interactions with sex workers than the physical act of having sex. Lastly, the research explored participants’ interactions with sex workers under decriminalisation, finding that they emphasised clear communication, respect of sex worker’s boundaries, and a desire to purchase sex ethically. There are three key conclusions of this thesis. Firstly, that client stereotypes are inapplicable to the entire client population as the participants challenged many and provided support for the ‘every man perspective’. Second, that support exists for non-sexual client motivations, and following the impacts participants discussed, sex workers and their services can be considered therapeutic and supporting the well-being of participants. Lastly, that legal context does make a difference on the conduct within sex industries and under decriminalisation. The participants’ conduct was driven by an awareness for sex worker rights and working conditions, thus producing an informed, harm-reductionist approach to purchasing sex.</p>

Management of Pedagogical Supervision and Teacher Performance in the Teaching of English in Peru

This research was done to determine the relationship between supervision and teacher practice in an English teaching center with a high student population in Lima Perú. This is a quantitative approach basic type study with a non-experimental transversal design where 5 and 7 point Likert-type-scale questionnaires were used to provide data that was analyzed with descriptive and inferential statistics. A non-probabilistic sample of intention or convenience was used to select the respondents. 210 teachers from different branches in Lima were selected to respond to the questionnaires. A descriptive analysis of the statistics was used to interpret the results on the supervisors functions and the teacher performance level in each one of the study areas after the supervisory service had been offered. To contrast the data for the hypothesis test to determine the relationship between supervision and teaching performance (content knowledge of the discipline, teaching skills, contextual knowledge, learner-focus teaching, professionalism), the Spearman correlation coefficient was used. A direct, meaningful and high correlation level was found. The results of the current study will benefit other English language centers management to implement changes and improvements to the supervision service that will result in better teaching performance and student achievement.

The Organic Turn: Coping With Pandemic and Non-pandemic Challenges by Integrating Evidence-, Theory-, Experience-, and Context-Based Knowledge in Advising Health Policy

The COVID-19 pandemic has posed an extraordinary challenge for public health and health policy. Questions have arisen concerning the main strategies to cope with this situation and the lessons to be learned from the pandemic. This conceptual paper aims to clarify these questions via sociological concepts. Regarding coping strategies used during the pandemic, there is a strong tendency for health policymakers to rely on expert knowledge rather than on evidence-based knowledge. This has caused the evidence-based healthcare community to respond to urgent demands for advice by rapidly processing new knowledge. Nonetheless, health policymakers still mainly rely on experts in making policy decisions. Our sociological analysis of this situation identified three lessons for coping with pandemic and non-pandemic health challenges: (1) the phenomenon of accelerating knowledge processing could be interpreted from the organizational innovation perspective as a shift from traditional mechanistic knowledge processing to more organic forms of knowledge processing. This can be described as an “organic turn.” (2) The return of experts is part of this organic turn and shows that experts provide both evidence-based knowledge as well as theoretical, experiential, and contextual knowledge. (3) Experts can use theory to expeditiously provide advice at times when there is limited evidence available and to provide complexity-reducing orientation for decisionmakers at times where knowledge production leads to an overload of knowledge; thus, evidence-based knowledge should be complemented by theory-based knowledge in a structured two-way interaction to obtain the most comprehensive and valid recommendations for health policy.

Investigating Health Context: Using Geospatial Big Data Ecosystem (Preprint)

BACKGROUND Enabling the use of spatial context is vital to understanding today’s digital health problems. Any given location is associated with many different contexts. The strategic transformation of population health, epidemiology, and eHealth studies require vast amounts of integrated digital data. Needed is a novel analytical framework designed to leverage location to create new contextual knowledge. GeoARK, a research resource has the robust, locationally integrated, social, environmental, and infrastructural information to address today’s complex questions, investigate context and to spatially-enable health investigations. GeoARK is different from other GIS resources in that it has taken the layered world of GIS and flattened it into a Big Data table that ties all the data and information together using location and developing its context. OBJECTIVE It is paramount to build a robust spatial data analytics framework that integrates social, environmental, and infrastructural knowledge base to empower health researchers’ use of geospatial context to timely answer population health issues. The goal is two-fold in that it embodies an innovative technological approach and serves to ease the educational burden for health researchers to think spatially about their problems. METHODS A unique analytical tool using location as the key is developed. It allows integration across source, geography, and time to create a geospatial big table with over 162 million individual locations (X-Y points that serve as rows) and 5549 attributes (represented as columns). The concept of context (adjacency, proximity, distance, etc.) has been quantified through geo-analytics and captured as new distance, density, or neighbor attributes within the system. Development of geospatial analytics permit contextual extraction and investigator-initiated eHealth and mHealth analysis across multiple attributes. RESULTS We built a unique geospatial big data ecosystem called Geospatial Analytical Research Knowledgebase (GeoARK). Analytics on this big table occur across resolution groups, sources, and geographies for extraction and analysis of information to gain new insights. Case studies, including telehealth assessment, income inequality and health outcomes disparity, and COVID-19 risk assessment, demonstrate the capability to support robust and efficient geospatial understanding of a wide spectrum of population health questions. CONCLUSIONS This research has identified, compiled, transformed, standardized, and integrated the multifaceted data required to better understand the context of health events within a large location-enabled database. The GeoARK system empowers health professionals to engage more complex research where the synergisms of health and geospatial information will be robustly studied beyond what could be accomplished today. No longer is the need to know how to do geospatial processing an impediment to the health researcher, but rather the development of how to think spatially becomes the greater challenge.