An efficient single document Arabic text summarization using a combination of statistical and semantic features.
Aziz QaroushIbrahim Abu FarhaWasel GhanemMahdi WashahaEman MaaliPublished in: J. King Saud Univ. Comput. Inf. Sci. (2021)
Keyphrases
- text summarization
- semantic features
- arabic language
- natural language processing
- named entity recognition
- information extraction
- semantic information
- document clustering
- automatic text summarization
- multi document summarization
- latent semantic analysis
- question answering
- wordnet
- low level features
- automatic summarization
- text classification
- visual features
- semantic similarity
- text documents
- named entities
- information retrieval
- high level
- query expansion
- pairwise
- document representation
- retrieval systems
- metadata
- machine learning
- text mining
- prior knowledge
- semi supervised