AfriHG: News headline generation for African Languages

Domain:

natural language processing

Record type:

paperdataset

Creator:

OguAkoSorAde

Host:

This paper introduces AfriHG -- a news headline generation dataset created by combining from XLSum and MasakhaNEWS datasets focusing on 16 languages widely spoken by Africa. We experimented with two seq2eq models (mT5-base and AfriTeVa V2), and Aya-101 LLM. Our results show that Africa-centric seq2seq models such as AfriTeVa V2 outperform the massively multilingual mT5-base model. Finally, we show that the performance of fine-tuning AfriTeVa V2 with 313M parameters is competitive to prompting Aya-101 LLM with more than 13B parameters. Accepted to AfricaNLP Workshop at ICLR 2024

Visit

arxiv.org

Tasks

natural language generation summarization

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dadelani/AfriHG

News headline generation for African languages # AfriHG: News Headline Generation for African Langu

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