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View all- Gupta SSharaff ANagwani N(2023)Frequent item-set mining and clustering based ranked biomedical text summarizationThe Journal of Supercomputing10.1007/s11227-022-04578-179:1(139-159)Online publication date: 1-Jan-2023
Automatic Text Summarization (ATS) is an essential field in natural language processing that attempts to condense large text documents so that users can assimilate information quickly. It finds uses in medical document summarization, ...
Existing graph-based methods for extractive document summarization represent sentences of a corpus as the nodes of a graph in which edges depict relationships of lexical similarity between sentences. This approach fails to capture ...
We investigate eighteen shallow sentence scoring techniques and ensemble strategies.Experiments were performed in several datasets for single- and multi-document task.Ensemble strategies lead to improvements over the individual scoring ...
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