Jul 22, 2022 · Text summarization aims to condense large documents into concise summaries while preserving essential information and meaning. A variety of ...
May 3, 2023 · Abstract:Recent pre-trained language models (PLMs) achieve promising results in existing abstractive summarization datasets.
Abstract. Recent pre-trained language models (PLMs) achieve promising results in existing abstractive summarization datasets.
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Extractive summarization extracts essential information from input data based on predefined score calculation techniques, while abstractive summarization ...
Dec 6, 2023 · Recent pre-trained language models (PLMs) achieve promising results in existing abstrac- tive summarization datasets. However, exist-.
In this paper we show the results on text summarization of some solutions analyzed, done on the same dataset (CNN/Dailymail), using the same amount of resources.
Sep 4, 2024 · Unlike prior studies, our work examines state-of-the-art methods, chal- lenges, solutions, comparisons, limitations and charts out future.
Jun 8, 2021 · Text summarization, a method of summarizing a text into its shorter version, has been a research area for many years. It includes two categories ...
Sep 7, 2024 · ... research work done on abstractive text summarization. Getting a gist part from a large text document is known as text summarization. In ...
[10] provides an in-depth analysis of key aspects of abstractive summarization, covering trends, general methodologies, tools, and evaluation techniques in this ...