Academic literature on the topic 'Job Embeddings'

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Journal articles on the topic "Job Embeddings"

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Gereme, Fantahun, William Zhu, Tewodros Ayall, and Dagmawi Alemu. "Combating Fake News in “Low-Resource” Languages: Amharic Fake News Detection Accompanied by Resource Crafting." Information 12, no. 1 (2021): 20. http://dx.doi.org/10.3390/info12010020.

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The need to fight the progressive negative impact of fake news is escalating, which is evident in the strive to do research and develop tools that could do this job. However, a lack of adequate datasets and good word embeddings have posed challenges to make detection methods sufficiently accurate. These resources are even totally missing for “low-resource” African languages, such as Amharic. Alleviating these critical problems should not be left for tomorrow. Deep learning methods and word embeddings contributed a lot in devising automatic fake news detection mechanisms. Several contributions
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Gereme, Fantahun, William Zhu, Tewodros Ayall, and Dagmawi Alemu. "Combating Fake News in “Low-Resource” Languages: Amharic Fake News Detection Accompanied by Resource Crafting." Information 12, no. 1 (2021): 20. http://dx.doi.org/10.3390/info12010020.

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The need to fight the progressive negative impact of fake news is escalating, which is evident in the strive to do research and develop tools that could do this job. However, a lack of adequate datasets and good word embeddings have posed challenges to make detection methods sufficiently accurate. These resources are even totally missing for “low-resource” African languages, such as Amharic. Alleviating these critical problems should not be left for tomorrow. Deep learning methods and word embeddings contributed a lot in devising automatic fake news detection mechanisms. Several contributions
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Fernández-Reyes, Francis C., and Suraj Shinde. "CV Retrieval System based on job description matching using hybrid word embeddings." Computer Speech & Language 56 (July 2019): 73–79. http://dx.doi.org/10.1016/j.csl.2019.01.003.

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Tuncer, Isilay, Kemal Can Kara, and Askin Karakas. "Determining abbreviations in Kariyer.net domain." New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, no. 12 (April 30, 2020): 01–07. http://dx.doi.org/10.18844/gjpaas.v0i12.4980.

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In this paper, studies determining abbreviations and their meanings in job texts are explained. The data used in this study consist of job texts stored in the Kariyer.net database. The applied method consists of two separate steps: first, the words and phrases in all job text documents are vectorised with the Word2Vec model. The phrases and abbreviations that are compatible with each other in the proximity of these word vectors are then checked and matched. In the second step, sentences with abbreviations and their meanings in the dataset are defined by the rules determined by Regex. Then, the
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Kuodytė, Vilija, and Linas Petkevičius. "Education-to-Skill Mapping Using Hierarchical Classification and Transformer Neural Network." Applied Sciences 11, no. 13 (2021): 5868. http://dx.doi.org/10.3390/app11135868.

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Skills gained from vocational or higher education form an essential component of country’s economy, determining the structure of the national labor force. Therefore, knowledge on how people’s education converts to jobs enables data-driven choices concerning human resources within an ever-changing job market. Moreover, the relationship between education and occupation is also relevant in times of global crises, such as the COVID-19 pandemic. Healthcare system overload and skill shortage on one hand, and job losses related to lock-downs on the other, have exposed a necessity to identify target g
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Choi, Yunsu, and Jeongwon Cha. "Korean Named Entity Recognition and Classification using Word Embedding Features." Journal of KIISE 43, no. 6 (2016): 678–85. http://dx.doi.org/10.5626/jok.2016.43.6.678.

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Huq, Ziaul, and Faizul Huq. "Embedding JIT in MRP: The case of job shops." Journal of Manufacturing Systems 13, no. 3 (1994): 153–64. http://dx.doi.org/10.1016/0278-6125(94)90001-9.

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Lee, Jaeyun, and Incheol Kim. "Visual Commonsense Reasoning with Vision-Language Co-embedding and Knowledge Graph Embedding." Journal of KIISE 47, no. 10 (2020): 985–98. http://dx.doi.org/10.5626/jok.2020.47.10.985.

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Guo, Teng, Feng Xia, Shihao Zhen, et al. "Graduate Employment Prediction with Bias." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 670–77. http://dx.doi.org/10.1609/aaai.v34i01.5408.

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The failure of landing a job for college students could cause serious social consequences such as drunkenness and suicide. In addition to academic performance, unconscious biases can become one key obstacle for hunting jobs for graduating students. Thus, it is necessary to understand these unconscious biases so that we can help these students at an early stage with more personalized intervention. In this paper, we develop a framework, i.e., MAYA (Multi-mAjor emploYment stAtus) to predict students' employment status while considering biases. The framework consists of four major components. Firs
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Arachie, Augustine Ebuka, Emmanuel Kalu Agbaeze, Hope Ngozi Nzewi, and Emmanuela Obianuju Agbasi. "Job crafting, a bottom-up job characteristic of academics with an embeddedness potential." Management Research Review 44, no. 7 (2021): 949–69. http://dx.doi.org/10.1108/mrr-07-2020-0432.

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Purpose The frequent turnover of academic instructors (lecturers) to other organizations and countries despite the autonomies their job offer them necessitated; this study aims to examine the relationship between job crafting (JC) and embeddedness of lecturers to their jobs. Design/methodology/approach A survey research design was adopted. This study is carried out in the south-east region of Nigeria. The population of the study consisted of 8,051 academic staff of six randomly selected public universities in the region and a sample size of 367 was determined using Krejcie and Morgan (1970) fo
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Dissertations / Theses on the topic "Job Embeddings"

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Valgimigli, Lorenzo. "Job Recommendation Based on Deep Learning Methods for Natural Language Processing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20467/.

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La ricerca di nuove soluzioni sempre più efficienti, da quando l’essere umano viveva nelle caverne ad oggi, ci ha spinto a sviluppare nuovi strumenti sempre più sofisticati e precisi. Con l’arrivo del computer, un altro grande passo in avanti è stato fatto potendo risolvere velocemente quei problemi complessi ma che possono essere espressi in maniera formale. Diversamente, esistono problemi più o meno semplici, ma difficili da porre con una certa formalità come capire una frase. Per questo tipo di problemi sono nate le Intelligenze Artificiali o le Artificial Neural Network e successivamente,
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Fleming, James. "The Moral Economy of Swedish Labour Market Co-operation and Job Security in the Neoliberal Era." Thesis, Uppsala universitet, Institutionen för kulturantropologi och etnologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447536.

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In the neoliberal era, there has been a global trend towards increased labour market insecurity and inequality, even in countries traditionally emblematic of union strength and socio-economic security such as Sweden. In this study, I present the first ethnographic research conducted in anthropology of negotiations between the central Swedish union and employer peak bodies (known as the ‘labour market partners’). These negotiations were conducted in 2020 against the background of a political crisis and political pressure to modernise and liberalise longstanding and fundamental job security prot
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Pombo, José Luís Fava de Matos. "Landing on the right job : a machine learning approach to match candidates with jobs applying semantic embeddings." Master's thesis, 2019. http://hdl.handle.net/10362/60405.

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Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>Job application’ screening is a challenging and time-consuming task to execute manually. For recruiting companies such as Landing.Jobs it poses constraints on the ability to scale the business. Some systems have been built for assisting recruiters screening applications but they tend to overlook the challenges related with natural language. On the other side, most people nowadays specially in the IT-sector use the Internet to look for jobs, however, given the huge amount
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Book chapters on the topic "Job Embeddings"

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"Embedding skills training in economic development – Collective Education in Tasmania Case Study." In OECD Reviews on Local Job Creation. OECD, 2019. http://dx.doi.org/10.1787/890052a4-en.

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Mkrttchian, Vardan. "Human Capital Management in the Context of the Implementation of Digital Intelligent Decision Support Systems and Knowledge Management." In Knowledge Management, Innovation, and Entrepreneurship in a Changing World. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2355-1.ch006.

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The basis for improving the quality of human capital in the framework of building a digital economy is the creation, mass implementation, and widespread use of digital intelligent systems in the business processes. This chapter develops the fundamental foundations of increasing the efficiency of using digital technologies and building the enterprise's information and computing infrastructure for embedding intelligent decision support and knowledge management systems in the organizational management system, which will contribute to the growth of labour productivity and increase the intellectuality of jobs. It is shown that the decisive role is played by artificial intelligence methods: intellectual analysis and modelling, decision support systems, learning avatars using neural networks, and geoinformation systems. A special role in the chapter is given to knowledge management methods, it is shown that the effectiveness of their use depends on how different economic agents acquire, generate, disseminate, and use new knowledge necessary for successful management activities.
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Darapureddy, Nagadevi, Muralidhar Kurni, and Saritha K. "A Comprehensive Study on Artificial Intelligence and Robotics for Machine Intelligence." In Methodologies and Applications of Computational Statistics for Machine Intelligence. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7701-1.ch011.

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Artificial intelligence (AI) refers to science-generating devices with functions like reasoning, thinking, learning, and planning. A robot is an intelligent artificial machine capable of sensing and interacting with its environment utilizing integrated sensors or computer vision. In the present day, AI has become a more familiar presence in robotic resolutions, introducing flexibility and learning capabilities. A robot with AI provides new opportunities for industries to produce work safer, save valuable time, and increase productivity. Economic impact assessment and awareness of the social, legal, and ethical problems of robotics and AI are essential to optimize the advantages of these innovations while minimizing adverse effects. The impact of AI and robots affects healthcare, manufacturing, transport, and jobs in logistics, security, retail, agri-food, and construction. The chapter outlines the vision of AI, robot's timeline, highlighting robot's limitations, hence embedding AI to robotic real-world applications to get an optimized solution.
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Mkrttchian, Vardan. "Human Capital Management in the Context of the Implementation of Digital Intelligent Decision Support Systems and Knowledge Management." In Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9023-2.ch010.

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The basis for improving the quality of human capital in the framework of building a digital economy is the creation, mass implementation, and widespread use of digital intelligent systems in the business processes. This chapter develops the fundamental foundations of increasing the efficiency of using digital technologies and building the enterprise's information and computing infrastructure for embedding intelligent decision support and knowledge management systems in the organizational management system, which will contribute to the growth of labour productivity and increase the intellectuality of jobs. It is shown that the decisive role is played by artificial intelligence methods: intellectual analysis and modelling, decision support systems, learning avatars using neural networks, and geoinformation systems. A special role in the chapter is given to knowledge management methods, it is shown that the effectiveness of their use depends on how different economic agents acquire, generate, disseminate, and use new knowledge necessary for successful management activities.
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Kuentzer, Lucas, Marcel Schwarzenbarth, Daniel Siladjev, and Georg Rock. "evoDash – A Transdisciplinary Vision for an Education Platform and a Simulation-Based Vehicle Development Process." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200066.

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In the wake of environmental disasters and accelerating climate change the challenges facing humanity seem bigger than ever. In the public eye private transport and mobility are two of the most apparent fields in need of a sustainable evolution. Around the globe car manufacturers and developers of innovative mobility solutions are hard at work in shaping the future of transport and travel. Like many modern problems these fields require a transdisciplinary approach and collaboration of disciplines in order to design a solution. At Trier University of Applied Sciences, the student team proTRon has been building highly efficient mobility concepts since 2005 and developing the prototype for a law- and safety-compliant urban vehicle concept since 2015. In this industry-oriented collaboration project the students get the chance to work in a realistic environment emulating a vehicle development process, preparing them for a job in the mobility industry as the next generation of system developers and engineers with a transdisciplinary attitude. Within the framework of this project students acquire competencies in communication and cooperation as well as gain expertise in areas like sustainability, efficiency, and organization. This paper introduces “evoDash”, a human-vehicle interface prototype for the urban vehicle concept proTRon EVOLUTION with a focus on usability and modularity. Designed and developed by students it is a software architecture based on Android and central part of a vision for a transdisciplinary education platform, which provides the foundation for future software and hardware development projects working towards an innovative and sustainable human-vehicle interface. The modular architecture of the platform provides the necessary interfaces and layout options for the functionalities that result from innovative ideas and student projects, embedding them into a usable and individually adjustable framework that will be subject to continuous iterations in order to optimize usability, safety and security. This paper proposes a simulation-based process model focused on rapid prototyping. It aims at providing a possible framework for transdisciplinary engineering projects and education.
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Conference papers on the topic "Job Embeddings"

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Giabelli, Anna, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, and Andrea Seveso. "Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/708.

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In this paper, we present Skills2Graph, a tool that, starting from a set of users’ professional skills, identifies the most suitable jobs as they emerge from a large corpus of 2.5M+ Online Job Vacancies (OJVs) posted in three different countries (the United Kingdom, France, and Germany). To this aim, we rely both on co-occurrence statistics - computing a count-based measure of skill-relevance named Revealed Comparative Advantage (rca) - and distributional semantics - generating several embeddings on the OJVs corpus and performing an intrinsic evaluation of their quality. Results, evaluated thr
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Schnitzer, Steffen, Dominik Reis, Wael Alkhatib, Christoph Rensing, and Ralf Steinmetz. "Preselection of documents for personalized recommendations of job postings based on word embeddings." In SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing. ACM, 2019. http://dx.doi.org/10.1145/3297280.3297602.

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Lacic, Emanuel, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, and Elisabeth Lex. "Should we embed? A study on the online performance of utilizing embeddings for real-time job recommendations." In RecSys '19: Thirteenth ACM Conference on Recommender Systems. ACM, 2019. http://dx.doi.org/10.1145/3298689.3346989.

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Luo, Haiyan, Shichuan Ma, Anand Joseph Bernard Selvaraj, and Yu Sun. "Learning job representation using directed graph embedding." In KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2019. http://dx.doi.org/10.1145/3326937.3341263.

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Zhang, Le, Ding Zhou, Hengshu Zhu, et al. "Attentive Heterogeneous Graph Embedding for Job Mobility Prediction." In KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2021. http://dx.doi.org/10.1145/3447548.3467388.

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Huang, Shell Ying, Xi Guo, Wen Jing Hsu, and Wei Lin Lim. "Embedding simulation in yard crane dispatching to minimize job tardiness in container terminals." In 2012 Winter Simulation Conference - (WSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/wsc.2012.6465137.

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Romadon, Annalisa Wahyu, Kemas M. Lhaksmana, Isman Kurniawan, and Donni Richasdy. "Analyzing TF-IDF and Word Embedding for Implementing Automation in Job Interview Grading." In 2020 8th International Conference on Information and Communication Technology (ICoICT). IEEE, 2020. http://dx.doi.org/10.1109/icoict49345.2020.9166364.

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Jaramillo, Catalina M., Paul Squires, Harold G. Kaufman, Andre Mendes da Silva, and Julian Togelius. "Word embedding for job market spatial representation: tracking changes and predicting skills demand." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377850.

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Adshead, Deborah Alison. "Embedding Information Rights into Higher Education in the UK." In Third International Conference on Higher Education Advances. Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/head17.2017.5272.

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Estimates suggest that a data breach costs an organisation over $4 million and that the total global cost of breaches will soon exceed $2 trillion. Hacking is part of the problem but errors in processing by individuals are still the most reported reasons for data breaches in the UK. With predictions of more jobs involving data processing in the future and the exponential growth in accessible personal data, it is increasingly important that this problem is taken more seriously. This Information Commissioner’s Office (ICO) sponsored research constitutes stage one of a study into the teaching of
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López-Parra, Marcelo, Vicente Borja, Alejandro Ramírez-Reivich, and Osiris Ricardo-Torres. "Embedding the Innovation Process in the CDMIT: Mexican Engineers Face New Challenges Today." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70167.

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Since 1976 the Mechanical Design Center of UNAM (CDMIT) has worked under the premise that experiential learning is a scheme that substantially helps in the task of educating engineers. The work of the CDMIT over the years has yielded good results that have underpinned the education process of its engineering students. Using real-world sponsored projects to integrate engineering knowledge taught in the classroom is not a novel idea though; CDMIT’s method of organizing teams of students essentially follows Kolb’s framework of learning through experience (LTE). The CDMIT implemented a way of brin
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