abstractive summarization - Axtarish в Google
Abstractive summarization is a technique in the field of Natural Language Processing that involves generating concise, coherent, and information-rich summaries by overcoming challenges through semantic and discourse analysis, as well as utilizing technologies like neural networks.
18 авг. 2022 г. · Abstractive summarization concentrates on the most critical information in the original text and creates a new set of sentences for the summary.
Abstractive Text Summarization is the task of generating a short and concise summary that captures the salient ideas of the source text.
25 окт. 2024 г. · In contrast to extractive summarizing, abstractive Summarization is a more effective method. The capacity to create unique sentences that convey ...
Two types of note summarization are possible, but one is a clear winner for call center success. Prodigal's abstractive summarization examples can help you.
8 июл. 2023 г. · In this example, we will demonstrate how to fine-tune BART on the abstractive summarization task (on conversations!) using KerasHub, and generate summaries ...
4 сент. 2024 г. · This survey presents a comprehensive overview, delving into state-of-the-art techniques, prevailing challenges, and prospective research directions.
This work explores the use of data-efficient content selectors to over-determine phrases in a source document that should be part of the summary. We use this ...
4 июл. 2022 г. · In this tutorial, we tackle the single-document summarization task with an abstractive modeling approach.
TL;DR: A summarization model combining a new intra-attention and reinforcement learning method to increase summary ROUGE scores and quality for long sequences.
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