ACCUMULATE: ACquiring CrUcial Medical information Using LAnguage Technology KU Leuven
Automatically recognize crucial information in the free text of clinical reports.
Automatically recognize crucial information in the free text of clinical reports.
Several research fields share the goal of developing domain independent languages and techniques for search and optimisation. Main-stream areas are operations research, constraint programming and satisfiability checking of propositional logic. A new development is the emergence of search systems based on expressive logics with origins in the area of knowledge representation that prove well-suited in knowledge-intense domains. This approach ...
The project proposes to develop Firm-centric Technology Roadmaps (FTRMs) and to improve technology valuation models based on them. Anticipating technology evolutions has become a critical business skill. Evaluating a potential technology opportunity in relation to the organization's own technological capabilities is critical for success. We address three gaps in the literature. First, we develop a methodology for quantifying Technology ...
Thanks to recent deep learning breakthroughs, Natural Language Processing (NLP) has seen significant progress. Yet, this progress mainly concerns high-resource languages (e.g., English), and many seemingly basic tasks have not been satisfactorily solved, especially for many low-resource languages (e.g., Dutch). We thus observe a performance gap among languages, caused by a discrepancy in the amount of both (i) available training data, and ...
Mathematics has always been a central curricular domain in elementary and secondary education worldwide. In the preschool years, the focus is mostly on very basic numerical abilities (the counting words, identifying or comparing numerosities), and in the first years of primary school this is further systematized in the form of simple arithmetic. Recent studies, however, have shown that children are already able to reason about more complex ...