Graph-based biomedical text summarization: An itemset mining and sentence clustering approach

Conclusion The carried out research suggests that the incorporation of domain-specific knowledge and frequent itemset mining equips the summarization system in a better way to address the informativeness measurement of the sentences. Moreover, clustering the graph nodes (sentences) can enable the summarizer to target different main subthemes of a source document efficiently. The evaluation results show that the proposed approach can significantly improve the performance of the summarization systems in the biomedical domain. Graphical abstract
Source: Journal of Biomedical Informatics - Category: Information Technology Source Type: research