In recent years, the trend of deploying digital systems in numerous industries has hiked. The
health sector has observed an extensive adoption of digital systems and services that …

The automatic summarization of scientific articles differs from other text genres because of
the structured format and longer text length. Previous approaches have focused on tackling …

We have seen a lot of interesting developments and research in text summarization. While
numerous approaches for summarization have been widely studied and applied in various …

The importance estimation of sentences plays an important role in the extractive
summarization of multi-documents. This paper introduces a method to estimate the …

We present a new dataset for tweet summarization. The dataset includes six events
collected from Twitter from October 10 to November 9, 2016. Our dataset features two …

With abundant user data and computing power, using machine learning to automate or
minimize our task has become a recent trend. These resources are useful in providing some …

The paper describes automatic summarization as one of the topics that help the e-learning
system to be more adaptable to content generation. This article treats automatic …

Sentence scoring is a vital step in an extractive summarization system. This paper presents
a model for improving the quality of the scoring step, which benefits sentence selection to …

Text summarization is challenging, but an interesting task of natural language processing.
While this task has been widely studied in English, it is still an early stage in Vietnamese …

3-бөлiм Информатика Раздел 3 Информатика Section 3 Computer science Page 1 76
Mussina AB et al. 3-бөлiм Информатика Раздел 3 Информатика Section 3 Computer …