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Found 10 papers, 8 papers with code
Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition
Transfer learning has led to large gains in performance for nearly all NLP tasks while making downstream models easier and faster to train.
Hierarchically Composing Level Generators for the Creation of Complex Structures
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 cost of manual creation.
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
African languages are spoken by over a billion people, but are underrepresented in NLP research and development.
Augmentative Topology Agents For Open-Ended Learning
In this work, we tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents and increasingly challenging environments.
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages
We participated in the WMT 2022 Large-Scale Machine Translation Evaluation for the African Languages Shared Task.
The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages
Data availability and quality are major challenges in natural language processing for low-resourced languages.
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
We focus on two questions: 1) How can pre-trained models be used for languages not included in the initial pre-training?
Adaptive Online Value Function Approximation with Wavelets
We further demonstrate that a fixed wavelet basis set performs comparably against the high-performing Fourier basis on Mountain Car and Acrobot, and that the adaptive methods provide a convenient approach to addressing an oversized initial basis set, while demonstrating performance comparable to, or greater than, the fixed wavelet basis.
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and large studios.
Towards Objective Metrics for Procedurally Generated Video Game Levels
With increasing interest in procedural content generation by academia and game developers alike, it is vital that different approaches can be compared fairly.
