Michael Dorna
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Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains Open
Predicting the difficulty of domain-specific vocabulary is an important task towards a better understanding of a domain, and to enhance the communication between lay people and experts. We investigate German closed noun compounds and focus…
New Developments for Robert – Assisting Novice Users Even Better in DIY Projects Open
Do-It-Yourself (DIY) home improvement projects require a combination of specific knowledge and practical abilities. Novice users often lack both and thus tend to fail or be frightful of performing DIY projects – even though they would like…
Predicting Degrees of Technicality in Automatic Terminology Extraction Open
While automatic term extraction is a well-researched area, computational approaches to distinguish between degrees of technicality are still understudied. We semi-automatically create a German gold standard of technicality across four doma…
Instructing Novice Users on How to Use Tools in DIY Projects Open
Novice users require assistance when performing handicraft tasks. Adequate instruction ensures task completion and conveys knowledge and abilities required to perform the task. We present an assistant teaching novice users how to operate e…
Evaluating Knowledge-Based Assistance for DIY Open
We report on the development of a companion system incorporating hierarchical planning, ontology-based knowledge modeling and multimodal cloud-based dialog. As an application scenario, we consider the domain of do-it-yourself (DIY) home im…
Evaluating the Reliability and Interaction of Recursively Used Feature Classes for Terminology Extraction Open
Feature design and selection is a crucial aspect when treating terminology extraction as a machine learning classification problem. We designed feature classes which characterize different properties of terms based on distributions, and pr…