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06/03/2023
Adapting Pretrained ASR Models to Low-resource Clinical Speech using Epistemic Uncertainty-based Data Selection
While there has been significant progress in ASR, African-accented clini...
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02/17/2023
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
Africa is home to over 2000 languages from over six language families an...
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11/07/2022
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
In recent years, multilingual pre-trained language models have gained pr...
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07/07/2022
BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus
BibleTTS is a large, high-quality, open speech dataset for ten languages...
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08/16/2021
Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards
Developing documentation guidelines and easy-to-use templates for datase...
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04/11/2021
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks
Deep learning-based models have recently outperformed state-of-the-art s...
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03/29/2021
Contextual Text Embeddings for Twi
Transformer-based language models have been changing the modern Natural ...
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03/29/2021
English-Twi Parallel Corpus for Machine Translation
We present a parallel machine translation training corpus for English an...
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03/29/2021
NLP for Ghanaian Languages
NLP Ghana is an open-source non-profit organization aiming to advance th...
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03/22/2021
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
With the success of large-scale pre-training and multilingual modeling i...
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03/22/2021
MasakhaNER: Named Entity Recognition for African Languages
We take a step towards addressing the under-representation of the Africa...
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02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
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12/02/2020
Graph Neural Networks for Improved El Niño Forecasting
Deep learning-based models have recently outperformed state-of-the-art s...
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10/05/2020