Deep learning based abstractive text summarization: approaches, datasets, evaluation measures, and challenges

D Suleiman, A Awajan - Mathematical problems in engineering, 2020 - Wiley Online Library
In recent years, the volume of textual data has rapidly increased, which has generated a
valuable resource for extracting and analysing information. To retrieve useful knowledge …

An enhanced optimized abstractive text summarization traditional approach employing multi-layered attentional stacked LSTM with the attention RNN

M Nafees Muneera, P Sriramya - … for SDGs: Select Proceedings of ICRTAC …, 2023 - Springer
Progress in technology is occurring at an escalating speed all through this world. The
human concentration stretch remains continually lessening, and the time span an individual …

Performance comparison of abstractive text summarization models on short and long text instances

R Lateef, MA Wani - 2021 8th International Conference on …, 2021 - ieeexplore.ieee.org
One of the desirable features of a text summarization system is its ability to generalize on
unseen text. In this paper, models representing three main categories viz, Pointer-Generator …

Domain Specific Fine-tuning of Denoising Sequence-to-Sequence Models for Natural Language Summarization

B Parker, A Sokolov, M Ahmed, M Kalebic… - arxiv preprint arxiv …, 2022 - arxiv.org
Summarization of long-form text data is a problem especially pertinent in knowledge
economy jobs such as medicine and finance, that require continuously remaining informed …

[PDF][PDF] LATS: Low-Resource Abstractive Text Summarization

CB van Yperen, F Frasincar, K Gruber - 2021 - thesis.eur.nl
In this paper we investigate the effectiveness of curriculum learning strategies and data
augmentation techniques on the state-of-the-art abstractive text summarization method …

Generating Sentences of Contrast Relationship

J Qihang, L **aoqiu - Data Analysis and Knowledge …, 2020 - manu44.magtech.com.cn
[Objective] This paper tries to generate contrastive sentences from two related paragraphs,
aiming to establish a new model for creating contrastive paragraphs.[Methods] We …

[PDF][PDF] Research Article Deep Learning Based Abstractive Text Summarization: Approaches, Datasets, Evaluation Measures, and Challenges

D Suleiman, A Awajan - 2020 - academia.edu
In recent years, the volume of textual data has rapidly increased, which has generated a
valuable resource for extracting and analysing information. To retrieve useful knowledge …

СИСТЕМА МОНИТОРИНГА ЗАБОЛЕВАНИЙ В РЕГИОНАЛЬНОМ РАЗРЕЗЕ

АЛ Машкова, МА Милкова, ИВ Неволин - Цифровая экономика, 2020 - elibrary.ru
Предлагается концепция информационной системы для анализа последствий
принимаемых решений. Описание содержит общую логику построения системы …