Article

RTEU-Transformers A Novel Framework for Temporal Dependency Modeling in Dialogue Summarization

2026-04-22

Abstract excerpt

<title>Abstract</title> <p> This paper proposes a novel deep learning model named <bold>RTEU-Transformers</bold> (Residual Temporal Enhancement Unit) for abstractive text summarization, specifically applied to the <bold>Samsum dataset</bold> , which consists of human-to-human dialogue transcripts. Unlike conventional Transformer-based models that often struggle with conversational context retention and tempo...

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Literature Corpus work: ea8f511e-96c6-5e7d-b521-08a7fad36a12
DOI: 10.21203/rs.3.rs-9140884/v1

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