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   Articles with "abstractive summarization" as a keyword



D-MmT: A concise decoder-only multi-modal transformer for abstractive summarization in videos

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recommendations! Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.04.072

Abstract: Abstract Multi-modal abstractive summarization for videos is an emerging task, aiming to integrate multi-modal and multi-source inputs (video, audio transcript) into a compressed textual summary. Although recent multi-encoder-decoder models on this task have shown promising… read more here.

Keywords: multi modal; summarization videos; abstractive summarization; concise ... See more keywords

A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3052783

Abstract: Dealing with vast amounts of textual data requires the use of efficient systems. Automatic summarization systems are capable of addressing this issue. Therefore, it becomes highly essential to work on the design of existing automatic… read more here.

Keywords: abstractive text; abstractive summarization; survey; text summarization ... See more keywords

Abstractive Summarization Model for Summarizing Scientific Article

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3420163

Abstract: Researchers consistently publish articles to contribute to science. However, it has become difficult to understand the terms employed in the document along with the way the semantic content is associated with other terms because of… read more here.

Keywords: summarization model; article; abstractive summarization; graph based ... See more keywords

A Comprehensive Survey of Abstractive Text Summarization Based on Deep Learning

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/7132226

Abstract: With the rapid development of the Internet, the massive amount of web textual data has grown exponentially, which has brought considerable challenges to downstream tasks, such as document management, text classification, and information retrieval. Automatic… read more here.

Keywords: abstractive summarization; text summarization; summarization; survey ... See more keywords

An Abstractive Summarization Model Based on Joint-Attention Mechanism and a Priori Knowledge

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recommendations! Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13074610

Abstract: An abstractive summarization model based on the joint-attention mechanism and a priori knowledge is proposed to address the problems of the inadequate semantic understanding of text and summaries that do not conform to human language… read more here.

Keywords: abstractive summarization; priori knowledge; level; word ... See more keywords

Inter- and Intra-Modal Contrastive Hybrid Learning Framework for Multimodal Abstractive Summarization

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recommendations! Published in 2022 at "Entropy"

DOI: 10.3390/e24060764

Abstract: Internet users are benefiting from technologies of abstractive summarization enabling them to view articles on the internet by reading article summaries only instead of an entire article. However, there are disadvantages to technologies for analyzing… read more here.

Keywords: inter intra; abstractive summarization; intra modal; contrastive hybrid ... See more keywords

Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages

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recommendations! Published in 2022 at "Future Internet"

DOI: 10.3390/fi14030069

Abstract: Abstractive summarization is a technique that allows for extracting condensed meanings from long texts, with a variety of potential practical applications. Nonetheless, today’s abstractive summarization research is limited to testing the models on various types… read more here.

Keywords: reddit; social media; abstractive summarization; posts comment ... See more keywords

Summary-Sentence Level Hierarchical Supervision for Re-Ranking Model of Two-Stage Abstractive Summarization Framework

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recommendations! Published in 2024 at "Mathematics"

DOI: 10.3390/math12040521

Abstract: Fine-tuning a pre-trained sequence-to-sequence-based language model has significantly advanced the field of abstractive summarization. However, the early models of abstractive summarization were limited by the gap between training and inference, and they did not fully… read more here.

Keywords: stage; abstractive summarization; model; sentence ... See more keywords

Enhanced transformer for length-controlled abstractive summarization based on summary output area

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recommendations! Published in 2025 at "PeerJ Computer Science"

DOI: 10.7717/peerj-cs.2667

Abstract: Recent advancements in abstractive summarization models, particularly those built on encoder-decoder architectures, typically produce a single summary for each source text. Controlling the length of summaries is crucial for practical applications, such as crafting cover… read more here.

Keywords: length; summary output; summarization; abstractive summarization ... See more keywords