Corpus ID: 211043055

Faculty of Engineering and Technology Master of Computing (MCOM) Multi-Objective Optimization with K-medoids Clustering for Arabic Multi-Document Summarization

@inproceedings{jFacultyOE,
  title={Faculty of Engineering and Technology Master of Computing (MCOM) Multi-Objective Optimization with K-medoids Clustering for Arabic Multi-Document Summarization},
  author={©J {\`O}j and Rana Alqaisi and Wasel Ghanem and Abdel Salam Sayyad and A. Afaneh}
}
Multi-document summarization is one of the most important applications of Natural Language Processing (NLP). It aims to create a shorter version from a set of related documents with preserving the main content and overall meanings. This will eliminate redundancy and preserve the time required to read the whole documents. Text Summarization (TS) is either abstractive or extractive. In extractive summarization, the summary is generated by selecting the most important sentences based on… Expand

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