Results 1 to 10 of about 6,709 (174)
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
doaj +3 more sources
Improving Abstraction in Text Summarization [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 ive text summarization aims to shorten long text documents into a human readable form that contains the most important facts from the original document.
Kryściński, Wojciech +3 more
core +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
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
doaj +2 more sources
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
Abstractive text summarization for Hungarian [PDF]
Annales Mathematicae et Informaticae, 2021 In our research we have created a text summarization software tool for Hungarian using multilingual and Hungarian BERT-based models. Two types of text summarization method exist: abstractive and extractive. The abstractive summarization is more similar to human generated summarization.
Yang, Zijian Győző +3 more
openaire +3 more sources
Dual Encoding for Abstractive Text Summarization [PDF]
IEEE Transactions on Cybernetics, 2020 Recurrent neural network-based sequence-to-sequence attentional models have proven effective in abstractive text summarization. In this paper, we model abstractive text summarization using a dual encoding model. Different from the previous works only using a single encoder, the proposed method employs a dual encoder including the primary and the ...
Kaichun Yao +5 more
openaire +3 more sources
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
doaj +1 more source