A data package for abstractive opinion summarization, title generation, and rating-based sentiment prediction for airline reviews [PDF]
Data in Brief, 2023 Customer reviews are valuable resources containing customer opinions and sentiments toward the product. The reviews are informative but can be quite lengthy or may contain repetitive information calling for opinion summarization systems that retain only ...
Ayesha Ayub Syed +4 more
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Enhanced transformer for length-controlled abstractive summarization based on summary output area [PDF]
PeerJ Computer ScienceRecent advancements in abstractive summarization models, particularly those built on encoder-decoder architectures, typically produce a single summary for each source text.
Yusuf Sunusi +2 more
doaj +3 more sources
IEEE AccessThe development of abstractive summarization methods is a crucial task in Natural Language Processing (NLP) that presents challenges, which require the creation of intelligent systems that are capable of extracting the main idea from text effectively and
Ayesha Khaliq +5 more
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Text summarization method of argumentative discourse by combining the BERT-transformer model [PDF]
Frontiers in Artificial IntelligenceSummarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing complex texts such as argumentative discourse. Extractive
Yaser Altameemi +4 more
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Key point generation as an instrument for generating core statements of a political debate on Twitter [PDF]
Frontiers in Artificial IntelligenceIdentifying key statements in large volumes of short, user-generated texts is essential for decision-makers to quickly grasp their key content. To address this need, this research introduces a novel abstractive key point generation (KPG) approach ...
Philip Ehnert, Julian Schröter
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Unified extractive-abstractive summarization: a hybrid approach utilizing BERT and transformer models for enhanced document summarization [PDF]
PeerJ Computer ScienceWith the exponential proliferation of digital documents, there arises a pressing need for automated document summarization (ADS). Summarization, a compression technique, condenses a source document into concise sentences that encapsulate its salient ...
Divya S. +3 more
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Abstractive text summarization of low-resourced languages using deep learning [PDF]
PeerJ Computer Science, 2023 Background Humans must be able to cope with the huge amounts of information produced by the information technology revolution. As a result, automatic text summarization is being employed in a range of industries to assist individuals in identifying the ...
Nida Shafiq +5 more
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Abstractive Text Summarization Model with Coherence Reinforcement and No Ground Truth Dependency [PDF]
Jisuanji kexue yu tansuo, 2022 Automatic text summarization aims to compress a given document, which can efficiently reflect the main idea of the source document with a short summary.
CHEN Gongchi, RONG Huan, MA Tinghuai
doaj +1 more source
Journal of ICT, 2021 Text summarization aims to reduce text by removing less useful information to obtain information quickly and precisely. In Indonesian abstractive text summarization, the research mostly focuses on multi-document summarization which methods will not work ...
Henry Lucky, Derwin Suhartono
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A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization
IEEE Access, 2021 Dealing with vast amounts of textual data requires the use of efficient systems. Automatic summarization systems are capable of addressing this issue.
Ayesha Ayub Syed +2 more
doaj +1 more source