Results 11 to 20 of about 6,808 (273)
Multi-Encoder Transformer for Korean Abstractive Text Summarization
In this paper, we propose a Korean abstractive text summarization approach that uses a multi -encoder transformer. Recently, in many natural language processing (NLP) tasks, the use of the pre-trained language models (PLMs) for transfer learning has ...
Youhyun Shin
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A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization
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
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Text Summarization and Translation of Summarized Outcome in French [PDF]
Automatic text summarization is increasingly required with the exponential growth of unstructured text through increasing internet and social media usage across the globe. The various approaches are outcomes of extraction-based and abstraction-based.
Vetriselvi T., Mathur Mihir
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Neural Attention Model for Abstractive Text Summarization Using Linguistic Feature Space
Summarization generates a brief and concise summary which portrays the main idea of the source text. There are two forms of summarization: abstractive and extractive.
Aniqa Dilawari +4 more
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The Design of Automatic Summarization of Indonesian Texts Using a Hybrid Approach
This study aims to design a model for automatic text summarization in Indonesian. Automatic text summarization is a system that reduces the number of sentences without losing important information in the document.
Kania Evita Dewi +1 more
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Leveraging Locality in Abstractive Text Summarization
Neural attention models have achieved significant improvements on many natural language processing tasks. However, the quadratic memory complexity of the self-attention module with respect to the input length hinders their applications in long text summarization.
Liu, Yixin +6 more
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A literature review of abstractive summarization methods
The paper contains a literature review for automatic abstractive text summarization. The classification of abstractive text summarization methods was considered.
D. V. Shypik, Petro I. Bidyuk
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An Automatic Abstractive Text Summarization System
Abstractive text summarization is one of the most interesting problems in the research field of Natural Language Processing. Recent advances in sequence to sequence model have made it possible to apply new approaches for abstractive text summarization and perform significantly.
Nasid Habib Barna, Hasnain Heickal
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Amharic Abstractive Text Summarization
content 3 pages, reference 2 pages, 2 figures, presented to AfricaNLP workshop ICLR ...
Zaki, Amr M. +2 more
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EXABSUM: a new text summarization approach for generating extractive and abstractive summaries
Due to the exponential growth of online information, the ability to efficiently extract the most informative content and target specific information without extensive reading is becoming increasingly valuable to readers.
Zakariae Alami Merrouni +2 more
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