Learning bilingual word embedding for automatic text summarization in low resource language

Studies in low-resource languages have become more challenging with the increasing volume of texts in today's digital era. Also, the lack of labeled data and text processing libraries in a language further widens the research gap between high and low-resource languages, such as English and Indonesia...

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Podrobná bibliografie

Hlavní autoři:	Rini Wijayanti, Masayu Leylia Khodra, Kridanto Surendro, Dwi H. Widyantoro
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2023-04-01
Edice:	Journal of King Saud University: Computer and Information Sciences
Témata:	Bilingual word embedding Cross-lingual transfer learning Extractive summarization Low-resource language
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1319157823000836
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