The two authors, V玫 Song Nguy锚n and V玫 Ti岷縩 Th峄媙h are alumni of the Bachelor of Talent Class of 2019 in the Faculty of Information Technology, have recently published an article titled “Interpretable extractive text summarization with meta-learning and BI-LSTM: A study of meta-learning and explainability techniques” in an international journal called Expert Systems with Applications (SCIE-Q1, IF 8.5). This group of students worked under the guidance of Prof. L锚 Ho脿i B岷痗, Head of the Computer Science Department.
鈿★笍 Research highlights: Introducing a new approach to the text summarization problem in Natural language processing (NLP), using meta-learning and BI-LSTM. The performance of this approach is compared to other leading NLP models using rough metrics.
馃搶 Article link:
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