A multi-objective memetic algorithm for query-oriented text summarization: Medicine texts as a case study

Automatic text summarization is a topic of great interest in many fields of knowledge. Particularly, query-oriented extractive multi-document text summarization methods have increased their importance recently, since they can automatically generate a summary according to a query given by the user. O...

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Veröffentlicht in:	Expert systems with applications 2022-07, Vol.198, p.116769, Article 116769
Hauptverfasser:	Sanchez-Gomez, Jesus M., Vega-Rodríguez, Miguel A., Pérez, Carlos J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Case studies Datasets Documents Medicine Medicine texts Memetic algorithm Multi-objective optimization Multiple objective analysis Optimization Queries Query-oriented summarization Recall-oriented understudy for gisting evaluation Texts
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