Abstract: Due to the explosive growth of digital content, automated text summary generation has become a critical task for digesting large amounts of information efficiently. In this work, we propose ...
Abstract: A very relevant challenge of summarizing legal text documents often exceeds the length, therefore being complex, was addressed using pre-trained models such as BART and PEGASUS. In the paper ...
Data were analyzed using thematic analysis informed by knowledge translation frameworks to identify preferred structural, linguistic, and contextual features of the summaries. Results: Participants ...
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