A domain-specific terminology-extraction system

Terminology ◽  
1998 ◽  
Vol 5 (2) ◽  
pp. 183-201 ◽  
Author(s):  
Maria Teresa Pazienza
Keyword(s):  
Language Processing ◽  
Information Sources ◽  
New Technologies ◽  
Personal Information ◽  
Information Filtering ◽  
Terminology Extraction ◽  
User Interests ◽  
Domain Specific ◽  
Suitable Form ◽  
The Right

Recently, new technologies have combined to produce a sharp increase in the availability of on-line texts and their access involves end-users with different skills. The demand for tools for information retrieval, extraction, organization and integration is becoming more and more pressing to filter relevance and sort the large number of retrieved documents. It is not the amount of information that gives the value but the access at the right time and in the most suitable form to an acceptable amount of relevant documents. Moreover the increasing availability of new information-transmission technologies demands more personal information filtering. Users are no longer interested in standard summaries and choices; they need (and most of the current user interests are on) filters that they can (directly) specify to fit their preferences and requirements. One such approach could only work on information sources dynamically adaptable to changing application needs. As a consequence the interaction between application domains and information sources needs to be stressed. Natural Language Processing (NLP) tools may be helpful in identifying relevant aspects of documents providing not only the identification of morphologic or structural properties of the texts but also stressing what are salient passages in them. The identification of subsentences capturing relevant terms may be a first step to be acquainted with specific topics of a document. The availability of a system able to capture such terms, in different languages and application domains, could optimize users ' requirements.

scholarly journals Analysing the Twitter accounts of licensed Sports gambling operators in Spain: a space for responsible gambling?

2021 ◽  
Vol 34 (4) ◽  
pp. 65-79
Author(s):  
Alejandra Hernández-Ruiz ◽  
Yoan Gutiérrez
Keyword(s):  
Social Networks ◽  
Language Processing ◽  
Web Application ◽  
New Technologies ◽  
Freedom Of Expression ◽  
Responsible Gambling ◽  
Online Gambling ◽  
Sports Gambling ◽  
Gambling Operators ◽  
The Right

Apart from the economic impact of the online gambling industry, the social, public order and health-related consequences of the industry merit analysis to inform appropriate action, regulatory or otherwise. The omnipresence of ICTs, the inability to use technologies properly, along with the growth of online gambling channels, have acted simultaneously as a catalyst for the spread of pathological and problematic gambling. In this context, social networks have become a highly effective platform to instil positive attitudes towards the products of gambling operators. This work uses the Natural Language Processing based web application “GPLSI Social Analytics” to track, in real time, the conversations generated on Twitter about the Spanish domain accounts of the main online sports gambling operators. The findings indicate that most of the messages about these operators are positive and surprise is the predominant emotion associated with them. The notion of responsible online gambling barely receives a mention in the conversations analysed. Given the role of new technologies as access facilitators and potential enhancers of addictive behaviours, it is necessary to adopt measures directed at social networks that guarantee the coexistence of the right to freedom of expression with the protection of the most vulnerable populations.

A Tracer Study of ICT Graduate Students at Mzuzu University, Malawi

Mousaion ◽  
2019 ◽  
Vol 36 (3) ◽  
Author(s):  
Chimango Nyasulu ◽  
Winner Chawinga ◽  
George Chipeta
Keyword(s):  
Language Processing ◽  
Mobile Application ◽  
First Century ◽  
Application Development ◽  
Job Requirements ◽  
Level Of Satisfaction ◽  
Information And Communication ◽  
Quantitative Design ◽  
The Right ◽  
The University

Governments the world over are increasingly challenging universities to produce human resources with the right skills sets and knowledge required to drive their economies in this twenty-first century. It therefore becomes important for universities to produce graduates that bring tangible and meaningful contributions to the economies. Graduate tracer studies are hailed to be one of the ways in which universities can respond and reposition themselves to the actual needs of the industry. It is against this background that this study was conducted to establish the relevance of the Department of Information and Communication Technology at Mzuzu University to the Malawian economy by systematically investigating occupations of its former students after graduating from the University. The study adopted a quantitative design by distributing an online-based questionnaire with predominantly closed-ended questions. The study focused on three key objectives: to identify key employing sectors of ICT graduates, to gauge the relevance of the ICT programme to its former students’ jobs and businesses, and to establish the level of satisfaction of the ICT curriculum from the perspectives of former ICT graduates. The key findings from the study are that the ICT programme is relevant to the industry. However, some respondents were of the view that the curriculum should be strengthened by revising it through an addition of courses such as Mobile Application Development, Machine Learning, Natural Language Processing, Data Mining, and LINUX Administration to keep abreast with the ever-changing ICT trends and job requirements. The study strongly recommends the need for regular reviews of the curriculum so that it is continually responding to and matches the needs of the industry.

A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic (Preprint)

2020 ◽  
Author(s):  
Rohan Pandey ◽  
Vaibhav Gautam ◽  
Ridam Pal ◽  
Harsh Bandhey ◽  
Lovedeep Singh Dhingra ◽  
...  
Keyword(s):  
Machine Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Machine Translation ◽  
Language Processing ◽  
User Feedback ◽  
Who Guidelines ◽  
The Times ◽  
The Right ◽  
Local Languages

BACKGROUND The COVID-19 pandemic has uncovered the potential of digital misinformation in shaping the health of nations. The deluge of unverified information that spreads faster than the epidemic itself is an unprecedented phenomenon that has put millions of lives in danger. Mitigating this ‘Infodemic’ requires strong health messaging systems that are engaging, vernacular, scalable, effective and continuously learn the new patterns of misinformation. OBJECTIVE We created WashKaro, a multi-pronged intervention for mitigating misinformation through conversational AI, machine translation and natural language processing. WashKaro provides the right information matched against WHO guidelines through AI, and delivers it in the right format in local languages. METHODS We theorize (i) an NLP based AI engine that could continuously incorporate user feedback to improve relevance of information, (ii) bite sized audio in the local language to improve penetrance in a country with skewed gender literacy ratios, and (iii) conversational but interactive AI engagement with users towards an increased health awareness in the community. RESULTS A total of 5026 people who downloaded the app during the study window, among those 1545 were active users. Our study shows that 3.4 times more females engaged with the App in Hindi as compared to males, the relevance of AI-filtered news content doubled within 45 days of continuous machine learning, and the prudence of integrated AI chatbot “Satya” increased thus proving the usefulness of an mHealth platform to mitigate health misinformation. CONCLUSIONS We conclude that a multi-pronged machine learning application delivering vernacular bite-sized audios and conversational AI is an effective approach to mitigate health misinformation. CLINICALTRIAL Not Applicable

AI and Migration Management

2020 ◽  
pp. 768-787
Author(s):  
Petra Molnar
Keyword(s):  
Human Rights ◽  
New Technologies ◽  
Forced Migration ◽  
Fundamental Rights ◽  
International Human Rights Law ◽  
Privacy Rights ◽  
International Regulation ◽  
Development Technology ◽  
And Migration ◽  
The Right

This chapter focuses on how technologies used in the management of migration—such as automated decision-making in immigration and refugee applications and artificial intelligence (AI) lie detectors—impinge on human rights with little international regulation, arguing that this lack of regulation is deliberate, as states single out the migrant population as a viable testing ground for new technologies. Making migrants more trackable and intelligible justifies the use of more technology and data collection under the guide of national security, or even under tropes of humanitarianism and development. Technology is not inherently democratic, and human rights impacts are particularly important to consider in humanitarian and forced migration contexts. An international human rights law framework is particularly useful for codifying and recognizing potential harms, because technology and its development are inherently global and transnational. Ultimately, more oversight and issue specific accountability mechanisms are needed to safeguard fundamental rights of migrants, such as freedom from discrimination, privacy rights, and procedural justice safeguards, such as the right to a fair decision maker and the rights of appeal.

scholarly journals Collecting specialty-related medical terms: Development and evaluation of a resource for Spanish

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pilar López-Úbeda ◽  
Alexandra Pomares-Quimbaya ◽  
Manuel Carlos Díaz-Galiano ◽  
Stefan Schulz
Keyword(s):  
Language Processing ◽  
Classification Problem ◽  
Snomed Ct ◽  
Language Resources ◽  
Clinical Specialty ◽  
Controlled Vocabularies ◽  
Clinical Text ◽  
Domain Specific ◽  
Medical Terms ◽  
Core Vocabulary

Abstract Background Controlled vocabularies are fundamental resources for information extraction from clinical texts using natural language processing (NLP). Standard language resources available in the healthcare domain such as the UMLS metathesaurus or SNOMED CT are widely used for this purpose, but with limitations such as lexical ambiguity of clinical terms. However, most of them are unambiguous within text limited to a given clinical specialty. This is one rationale besides others to classify clinical text by the clinical specialty to which they belong. Results This paper addresses this limitation by proposing and applying a method that automatically extracts Spanish medical terms classified and weighted per sub-domain, using Spanish MEDLINE titles and abstracts as input. The hypothesis is biomedical NLP tasks benefit from collections of domain terms that are specific to clinical subdomains. We use PubMed queries that generate sub-domain specific corpora from Spanish titles and abstracts, from which token n-grams are collected and metrics of relevance, discriminatory power, and broadness per sub-domain are computed. The generated term set, called Spanish core vocabulary about clinical specialties (SCOVACLIS), was made available to the scientific community and used in a text classification problem obtaining improvements of 6 percentage points in the F-measure compared to the baseline using Multilayer Perceptron, thus demonstrating the hypothesis that a specialized term set improves NLP tasks. Conclusion The creation and validation of SCOVACLIS support the hypothesis that specific term sets reduce the level of ambiguity when compared to a specialty-independent and broad-scope vocabulary.

scholarly journals Teleworking: A New Reality Conditioned by the Right to Privacy

Laws ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 64
Author(s):  
Carlos Arroyo-Abad
Keyword(s):  
New Technologies ◽  
Legal Framework ◽  
Right To Privacy ◽  
The Right To Privacy ◽  
Work From Home ◽  
Provision Of Services ◽  
The Right

Faced with protecting the right to privacy and, with it, the inviolability of homes, the development of new technologies and the possibility of developing work from home has opened the door to a series of new conflicts that require us to provide a specific legal framework by which such situations can be addressed. In the Spanish case, we speak of Law 10/2021 from 9 July on remote working. The objective of this study is to assess the scope as well as the problems that this law generates during its application, regarding controlling the provision of services. However, we not only identify the incidental factors, but also provide a necessary reinterpretation of the right to privacy from the perspective of the inviolability of homes, especially when its current articulation may operate to the detriment of employees’ rights, as contradictory as this may seem.

scholarly journals Embracing Industry 4.0: Empirical Insights from Malaysia

Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 30
Author(s):  
Mansoor Ahmed Soomro ◽  
Mohd Hizam-Hanafiah ◽  
Nor Liza Abdullah ◽  
Mohd Helmi Ali ◽  
Muhammad Shahar Jusoh
Keyword(s):  
Industry 4.0 ◽  
New Technologies ◽  
Descriptive Study ◽  
Digital Transformation ◽  
Quantitative Approach ◽  
Survey Questionnaire ◽  
Digital Revolution ◽  
Leadership Strategy ◽  
The Right ◽  
The Cost

Industry 4.0 revolution, with its cutting-edge technologies, is an enabler for businesses, particularly in reducing the cost and improving the productivity. However, a large number of organizations are still too in their infancy to leverage the true potential of Industry 4.0 and its technologies. This paper takes a quantitative approach to reveal key insights from the companies that have implemented Industry 4.0 technologies. For this purpose, 238 technology companies in Malaysia were studied through a survey questionnaire. As technology companies are usually the first in line to adopt new technologies, they can be studied better as leaders in adopting the latest technologies. The findings of this descriptive study surfaced an array of insights in terms of Industry 4.0 readiness, Industry 4.0 technologies, leadership, strategy, and innovation. This research paper contributes by providing 10 key empirical insights on Industry 4.0 that can be utilized by managers to pace up their efforts towards digital transformation, and can help the policymakers in drafting the right policy to drive the digital revolution.

Risk Assessment vs. Right to Privacy: The Access to Health Information on the Insurance Candidate through Questionnaires and the Right to Privacy

2013 ◽  
Vol 20 (1) ◽  
pp. 63-78
Author(s):  
Maria Inês de Oliveira Martins
Keyword(s):  
International Law ◽  
Health Information ◽  
Personal Information ◽  
Relevant Information ◽  
Right To Privacy ◽  
The Right To Privacy ◽  
Access To Health ◽  
Health Related ◽  
Principle Of Proportionality ◽  
The Right

Abstract The need of private insurers for information on the candidate’s health risks is recognized by the law, which places pre-contractual duties of disclosure upon the candidates. When the risks are influenced by health factors, e.g. in the case of life- and health insurances, it implies the provision of health information by the candidates, who thus voluntarily limit their right to privacy. This consent, however, often happens in a context of factual coercion to contract. Next to this, from a legal standpoint, the collection of personal information must respond to the principle of proportionality. Against this background, this article assesses the compatibility of questionnaire techniques that rely on open-ended health related questions with the right to privacy, as protected by Portuguese and international law. It then analyses the extent of pre-contractual duties of disclosure as defined by the Portuguese Insurance Act, which requires the candidate to volunteer all the relevant information independently of being asked for it. In doing so, the article also refers to some other European countries. It concludes that the relevant Portuguese legislation is incompatible both with Portuguese constitutional law and with international law.

Humor Comprehension and Appreciation: An fMRI Study

2006 ◽  
Vol 18 (11) ◽  
pp. 1789-1798 ◽  
Author(s):  
Angela Bartolo ◽  
Francesca Benuzzi ◽  
Luca Nocetti ◽  
Patrizia Baraldi ◽  
Paolo Nichelli
Keyword(s):  
Left Hemisphere ◽  
Language Processing ◽  
Inferior Frontal Gyrus ◽  
Brain Lesion ◽  
Superior Temporal Gyrus ◽  
Middle Temporal Gyrus ◽  
Stage Model ◽  
Human Beings ◽  
Two Stage ◽  
The Right

Humor is a unique ability in human beings. Suls [A two-stage model for the appreciation of jokes and cartoons. In P. E. Goldstein & J. H. McGhee (Eds.), The psychology of humour. Theoretical perspectives and empirical issues. New York: Academic Press, 1972, pp. 81–100] proposed a two-stage model of humor: detection and resolution of incongruity. Incongruity is generated when a prediction is not confirmed in the final part of a story. To comprehend humor, it is necessary to revisit the story, transforming an incongruous situation into a funny, congruous one. Patient and neuroimaging studies carried out until now lead to different outcomes. In particular, patient studies found that right brain-lesion patients have difficulties in humor comprehension, whereas neuroimaging studies suggested a major involvement of the left hemisphere in both humor detection and comprehension. To prevent activation of the left hemisphere due to language processing, we devised a nonverbal task comprising cartoon pairs. Our findings demonstrate activation of both the left and the right hemispheres when comparing funny versus nonfunny cartoons. In particular, we found activation of the right inferior frontal gyrus (BA 47), the left superior temporal gyrus (BA 38), the left middle temporal gyrus (BA 21), and the left cerebellum. These areas were also activated in a nonverbal task exploring attribution of intention [Brunet, E., Sarfati, Y., Hardy-Bayle, M. C., & Decety, J. A PET investigation of the attribution of intentions with a nonverbal task. Neuroimage, 11, 157–166, 2000]. We hypothesize that the resolution of incongruity might occur through a process of intention attribution. We also asked subjects to rate the funniness of each cartoon pair. A parametric analysis showed that the left amygdala was activated in relation to subjective amusement. We hypothesize that the amygdala plays a key role in giving humor an emotional dimension.

scholarly journals A Learning Analytics Framework to Analyze Corporal Postures in Students Presentations

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1525
Author(s):  
Felipe Vieira ◽  
Cristian Cechinel ◽  
Vinicius Ramos ◽  
Fabián Riquelme ◽  
Rene Noel ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Pattern Mining ◽  
New Technologies ◽  
Personal Information ◽  
Sequential Pattern Mining ◽  
Complex Problem ◽  
Sequential Pattern ◽  
Background Information ◽  
Professional Relationships

Communicating in social and public environments are considered professional skills that can strongly influence career development. Therefore, it is important to proper train and evaluate students in this kind of abilities so that they can better interact in their professional relationships, during the resolution of problems, negotiations and conflict management. This is a complex problem as it involves corporal analysis and the assessment of aspects that until recently were almost impossible to quantitatively measure. Nowadays, a number of new technologies and sensors have being developed for the capture of different kinds of contextual and personal information, but these technologies were not yet fully integrated inside learning settings. In this context, this paper presents a framework to facilitate the analysis and detection of patterns of students in oral presentations. Four steps are proposed for the given framework: Data collection, Statistical Analysis, Clustering, and Sequential Pattern Mining. Data Collection step is responsible for the collection of students interactions during presentations and the arrangement of data for further analysis. Statistical Analysis provides a general understanding of the data collected by showing the differences and similarities of the presentations along the semester. The Clustering stage segments students into groups according to well-defined attributes helping to observe different corporal patterns of the students. Finally, Sequential Pattern Mining step complements the previous stages allowing the identification of sequential patterns of postures in the different groups. The framework was tested in a case study with data collected from 222 freshman students of Computer Engineering (CE) course at three different times during two different years. The analysis made it possible to segment the presenters into three distinct groups according to their corporal postures. The statistical analysis helped to assess how the postures of the students evolved throughout each year. The sequential pattern mining provided a complementary perspective for data evaluation and helped to observe the most frequent postural sequences of the students. Results show the framework could be used as a guidance to provide students automated feedback throughout their presentations and can serve as background information for future comparisons of students presentations from different undergraduate courses.

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