Searched for: contributor%3A%22Houben%2C+G.J.P.M.+%28promotor%29%22
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Moraes Gomes, F. (author)
doctoral thesis 2022
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Qiu, S. (author)
Crowdsourcing has become a standard approach for the collection of the human input required by scientists and practitioners alike to execute their experiments, or to train, control, and verify the behavior of their intelligent systems. Despite years of successful research and industrial application, how to improve the engagement and satisfaction...
doctoral thesis 2021
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Mesbah, S. (author)
Named Entity Recognition (NER) is an essential information retrieval task. It enables a wide range of natural language processing applications such as semantic search, machine translation, etc. The NER can be formulated as the task of identifying and typing words or phrases in a text that refers to certain classes of interest (e.g., disease,...
doctoral thesis 2020
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Davis, D.J. (author)
doctoral thesis 2019
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Chen, G. (author)
Massive Open Online Courses (MOOCs), as one of the popular options for people to receive education and learn, are endowed with the mission to educate the world. Typically, there are two types of MOOC platforms: topic-agnostic and topic-specific. Topic-agnostic platforms such as edX and Coursera provide courses covering a wide range of topics,...
doctoral thesis 2019
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Zhao, Y. (author)
As one of the most prominent examples of technology-enhanced learning, massive open online courses (MOOCs) have attracted extensive attention of learners, educators, and researchers since 2012. However, a low completion rate is a ubiquitous and severe problem in MOOCs, which means that only a small portion of learners got scores higher than or...
doctoral thesis 2019
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Yang, J. (author)
Crowd knowledge creation plays a central role in many types of Web based information systems, ranging from community question-answering (CQA) systems (e.g. StackOverflow and Quora) to micro-task crowdsourcing systems (e.g. Amazon mTurk and CrowdFlower). In these systems, knowledge demands are generally fulfilled by means of tasks (e.g. questions...
doctoral thesis 2017
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Tao, K. (author)
In the past decade, the Social Web has evolved into both an essential channel for people to exchange information and a new type of mass media. The immense amount of data produced presents new possibilities and challenges: algorithms and technologies need to be developed to extract and infer useful information from the Social Web. One of the main...
doctoral thesis 2014
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Gao, Q. (author)
Microblogging has become a popular mechanism for people to publish, share, and propagate information on the Web. The massive amount of digital traces that people have left in the microblogging sphere, creates new possibilities and poses challenges for user modeling and personalization. How can microblogging activities be exploited to infer...
doctoral thesis 2013
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Hu, B.B. (author)
An increasing number of mobile users demand adaptive services tailored to their specific requirements in a particular situation. Typically, when carrying out the task at hand, police officers need to have up-to-date information contextualized to their current situation in order to support their decision making. In contrast to the traditional...
doctoral thesis 2011
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