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Abstract. Many modern neural document summarization systems based on encoder-decoder networks are designed to produce abstractive summaries.
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Sep 7, 2019 · Abstract:We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive ...
Abstractive summarization is differentiated from extractive summarization by the model's ability to paraphrase, but paraphrasing ability is not directly ...
We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive summarization.
Oct 13, 2023 · Abstract: Abstractive summarization aims to generate a concise summary covering the input document's salient information.
Apr 20, 2022 · Abstract:Automatic summarization is the process of shortening a set of textual data computationally, to create a subset (a summary) that ...
In this paper, we propose a generative approach for abstractive summarization, which creates summaries based on a language model. The main goal of our paper ...
We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive summarization.
This paper gives the comparison of various neural network based abstractive text summarization models and also discuss the types of summarization based on ...
Abstractive summarization aims to generate a concise summary covering the input document's salient information. Within a report document, ...
Missing: Abstractiveness Document