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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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An Optimized Stochastic Gradient Descent Approach to a Bidirectional Long Short-Term Memory with Bidirectional Contextual Embeddings for Extractive Text Summarisation

2026Nigerian Journal of PhysicsJournalOpen access

10.62292/njp.v35i2.2026.592 Full text0 citations

Authors

7 authors across 2 institutions in 2 countries.

Khadijha-Kuburat AbdullahFirst author
- Olabisi Onabanjo University (NG)
as printed: Khadijha-Kuburat A. Abdullah
Tola J. Odule
- Olabisi Onabanjo University (NG)
Ayobami J. Ajayi
- Olabisi Onabanjo University (NG)
Omobola E. Oladiran
- Olabisi Onabanjo University (NG)
Olufunmilayo A. Lawal
- Olabisi Onabanjo University (NG)
Emmanuel F. Ologunleko
Olatunde D. TijaniSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Topic Modelinglevel 3 · 0.83
Biomedical Text Mining and Ontologieslevel 3 · 0.07
Text and Document Classification Technologieslevel 3 · 0.03

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · Nigerian Journal of Physics · 0 citations
https://openalex.org/W7161976090

An Optimized Stochastic Gradient Descent Approach to a Bidirectional Long Short-Term Memory with Bidirectional Contextual Embeddings for Extractive Text Summarisation · Sankore