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Abstractive-Text-Summarization-Enhancing-Sequence-to-Sequence-Models-Using-Word-Sense-Disambiguatio

This repository contains code and resources for abstractive text summarization (TS) using a novel framework that leverages knowledge-based word sense disambiguation (WSD) and semantic content generalization to enhance the performance of sequence-to-sequence (seq2seq) neural-based TS.

abstractive-summarization deep-learning natural-language-processing python3 pytorch research-paper research-project text-to-text transformers transformers-models

Creat：2023-02-03T01:59:30

Update：2024-06-01T22:26:32

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