An unsupervised method for extractive multi-document summarization based on centroid approach and sentence embeddings

Salima Lamsiyah; Abdelkader El Mahdaouy; Bernard Espinasse; Saïd Ouatik El Alaoui

doi:10.1016/j.eswa.2020.114152

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An unsupervised method for extractive multi-document summarization based on centroid approach and sentence embeddings

Salima Lamsiyah Abdelkader El Mahdaouy Bernard Espinasse Saïd Ouatik El Alaoui

Year: 2020 Journal: Expert Systems with Applications Vol: 167 Pages: 114152-114152 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2020.114152

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Keywords:

Computer science Automatic summarization Natural language processing Sentence Artificial intelligence Cosine similarity Relevance (law) Context (archaeology) Embedding Information retrieval Pattern recognition (psychology)

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Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

An unsupervised method for extractive multi-document summarization based on centroid approach and sentence embeddings

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