Semantic-Aware Hybrid Text Summarization Using Supervised Sentence Scoring and Redundancy Control
A semantic- aware hybrid text summarization framework that integrates supervised extractive sentence scoring with constrained abstractive generation and employs an interpretable sentence importance model based on lexical, positional, and semantic features, learned using a Gradient Boosting Regressor.