Deep learning based abstractive text summarization: approaches, datasets, evaluation measures, and challenges
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
принимаемых решений. Описание содержит общую логику построения системы …