Abstractive-Text-Summarization-Enhancing-Sequence-to-Sequence-Models-Using-Word-Sense-Disambiguatio
PublicThis 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-summarizationdeep-learningnatural-language-processingpython3pytorchresearch-paperresearch-projecttext-to-texttransformerstransformers-models
Creat:2023-02-03T01:59:30
Update:2024-06-01T22:26:32
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