Today, data is the most important thing humanity needs, thus understanding the linguistics of
such a large data is not practically possible so, text summarization is introduced as the …

Text Summarization has been an extensively studied problem. Traditional approaches to
text summarization rely heavily on feature engineering. In contrast to this, we propose a fully …

In this research, we propose the use of Particle Swarm Optimization (PSO) algorithm for the
extraction of summaries for single Arabic documents. The PSO approach is compared with …

Natural language processing is the trending topic in the latest research areas, which allows
the developers to create the human-computer interactions to come into existence. The …

Neural sequence to sequence models have achieved superlative performance in
summarizing text. But they tend to generate generic summaries that under-represent the …

Saat ini, kebutuhan akan mesin peringkas dokumen teks menjadi semakin nyata karena
semakin banyaknya informasi digital yang tersedia baik online maupun offline. Mesih …

Request for quotation (RFQ) is a lengthy document soliciting vendor products and services
according to rigid specifications. This research develops an integrated natural language …

In this research, we propose the use of Firefly algorithm for the extraction of summaries of
single Arabic documents. The proposed approach is compared with two evolutionary …

Automatic text summarization is one of the important challenges of natural language tasks. It
will help the readers save time to get the important information from a lengthy document …

Automatic text summarization is one of the most challenging and interesting problems in
natural language processing (NLP). Text summarization is the process of extracting the most …