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pro vyhledávání: '"Rensing, Christoph"'
Most learners fail to develop deep text comprehension when reading textbooks passively. Posing questions about what learners have read is a well-established way of fostering their text comprehension. However, many textbooks lack self-assessment quest
Externí odkaz:
http://arxiv.org/abs/2110.04123
Autor:
Rensing, Christoph
Kommerzielle Anbieter von Internet-Diensten müssen in die Lage versetzt werden, über eine Anpassung ihrer Geschäftsmodelle unmittelbar auf Marktsituationen zu reagieren und schnell neue Dienste implementieren zu können. Dazu bedürfen sie u.a. ei
Externí odkaz:
http://tuprints.ulb.tu-darmstadt.de/383/1/rensing.pdf
Task selection in micro-task markets can be supported by recommender systems to help individuals to find appropriate tasks. Previous work showed that for the selection process of a micro-task the semantic aspects, such as the required action and the
Externí odkaz:
http://arxiv.org/abs/1707.06562
Publikováno v:
In Computers in Industry May 2016 78:70-79
Autor:
Lucke, Ulrike, Rensing, Christoph
Publikováno v:
In Pervasive and Mobile Computing October 2014 14:3-16
Publikováno v:
Artificial Intelligence in Education
With the rising success of adversarial attacks on many NLP tasks, systems which actually operate in an adversarial scenario need to be reevaluated. For this purpose, we pose the following research question: How difficult is it to fool automatic short
Publikováno v:
Artificial Intelligence in Education
Reading is a crucial skill in the 21st century. Thus, scaffolding text comprehension by automatically generated questions may greatly profit learners. Yet, the state-of-the-art methods for automatic question generation, answer-aware neural question g