Project MUDCAT

since March 2022

Apl. Prof. Dr. Sabine Schulte im Walde

The distinction between abstract and concrete words (such as dream in contrast to banana) represents a semantic categorisation highly relevant for Natural Language Processing (NLP) purposes. In this vein, our project MUDCAT investigates the notion of abstractness from a data-driven and application-oriented point of view. While the most long-standing discussions about abstractness have taken place in the cognitive sciences, we address and enhance critical issues in existing definitions, data collections and characterisations, and broaden and optimise the perspective towards effective exploitation in NLP approaches.

German Research Foundation (DFG)