Extractive Multi-Document Arabic Text Summarization Using Evolutionary Multi-Objective Optimization With K-Medoid Clustering.
Rana AlqaisiWasel GhanemAziz QaroushPublished in: IEEE Access (2020)
Keyphrases
- text summarization
- evolutionary multi objective optimization
- arabic language
- named entity recognition
- natural language processing
- information extraction
- multi document summarization
- question answering
- clustering algorithm
- automatic summarization
- extractive summarization
- multi objective
- clustering method
- query expansion
- text segments
- k means
- conditional random fields
- multidocument summarization
- lexical chains
- named entities
- unsupervised learning
- active learning
- natural language
- image segmentation