Cross-Encoder-Based Semantic Evaluation of Extractive and Generative Question Answering in Low-Resourced African Languages

Cross-Encoder-Based Semantic Evaluation of Extractive and Generative Question Answering in Low-Resourced African Languages

Efficient language analysis techniques and models are crucial in the artificial intelligence age for enhancing cross-lingual question answering. Transfer learning with state-of-the-art models has been beneficial in this regard, but the performance of low-resource African languages with morphological...

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Bibliographic Details
Main Authors: Funebi Francis Ijebu, Yuanchao Liu, Chengjie Sun, Nobert Jere, Ibomoiye Domor Mienye, Udoinyang Godwin Inyang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Technologies
Subjects:
cross-lingual question answering
extractive question answering
large language models
semantic answer similarity
low-resourced African languages
Online Access:https://www.mdpi.com/2227-7080/13/3/119
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