Papers by Georgios Alexandridis

1 papers
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization (P19-1)

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Challenge: Abstractive text summarization is a demanding, time expensive and generally laborious task.
Approach: They propose a framework for enhancing abstractive text summarization using deep learning techniques and semantic data transformations.
Outcome: The proposed method is evaluated on two popular datasets with encouraging results.

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