3 papers
cs.CL2023
Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition
Michael Beukman, Manuel Fokam
Transfer learning has led to large gains in performance for nearly all NLP tasks while making downstream models easier and faster to train. This has also been extended to low-resou…
cs.AI2023
Hierarchically Composing Level Generators for the Creation of Complex Structures
Michael Beukman, Manuel Fokam, Marcel Kruger +5
Procedural content generation (PCG) is a growing field, with numerous applications in the video game industry and great potential to help create better games at a fraction of the c…
cs.CL2022
The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages
Manuel Fokam, Michael Beukman
Data availability and quality are major challenges in natural language processing for low-resourced languages. In particular, there is significantly less data available than for hi…