Searched for: contributor%3A%22Houben%2C+G.J.P.M.+%28promotor%29%22
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Zhu, P. (author)
Questions are critical for information-seeking and learning. Automatic Question Generation (AQG) involves the subjects of Information Retrieval (IR) and Natural Language Processing (NLP), and focuses on automatically creating questions for various applications, subjects which have been studied for decades. In this thesis, we study how to create...
doctoral thesis 2024
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Draws, T.A. (author)
doctoral thesis 2023
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Balayn, A.M.A. (author)
Machine learning (ML) is an artificial intelligence technology that has a great potential for being adopted in various sectors of activities. Yet, it is now also increasingly recognized as a hazardous technology. Failures in the outputs of an ML system might cause physical or social harms. Besides, the development and deployment of an ML system...
doctoral thesis 2023
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Penha, G. (author)
Conversational search is a sub-field of Information Retrieval (IR) that focuses on solving information needs through natural language conversations. Searching for information is an inherently interactive task, and conversations offer a promising solution. One that might change the current search paradigm. In this thesis, we focus on retrieval...
doctoral thesis 2023
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Najafian, S. (author)
My thesis investigates what makes good explanations for group recommendations, considering the privacy concerns of group members. Let’s give an example. Have you ever been to lunch with other colleagues on a business trip? Do you recall how long it took you to pick a restaurant? In these situations, recommender systems could help people decide,...
doctoral thesis 2023
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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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