Results 21 to 30 of about 9,383 (202)
Abstractive and Extractive Approaches for Summarizing Multi-document Travel Reviews
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Travel reviews offer insights into users' experiences at places they have visited, including hotels, restaurants, and tourist attractions. Reviews are a type of multidocument, where one place has several reviews from different users.
Narandha Arya Ranggianto +3 more
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Bottom-Up Abstractive Summarization [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 EMNLP ...
Gehrmann, Sebastian +2 more
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Multi-Task Learning for Abstractive and Extractive Summarization
Data Science and Engineering, 2019 The abstractive method and extractive method are two main approaches for automatic document summarization. In this paper, to fully integrate the relatedness and advantages of both approaches, we propose a general unified framework for abstractive ...
Yangbin Chen +3 more
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Neural Attention Model for Abstractive Text Summarization Using Linguistic Feature Space
IEEE Access, 2023 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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Performance Study on Extractive Text Summarization Using BERT Models
Information, 2022 The task of summarization can be categorized into two methods, extractive and abstractive. Extractive summarization selects the salient sentences from the original document to form a summary while abstractive summarization interprets the original ...
Shehab Abdel-Salam, Ahmed Rafea
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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
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EXABSUM: a new text summarization approach for generating extractive and abstractive summaries
Journal of Big Data, 2023 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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LCSTS: A Large Scale Chinese Short Text Summarization Dataset [PDF]
, 2015 Automatic text summarization is widely regarded as the highly difficult problem, partially because of the lack of large text summarization data set. Due to the great challenge of constructing the large scale summaries for full text, in this paper, we ...
Chen, Qingcai, Hu, Baotian, Zhu, Fangze
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Diverse Decoding for Abstractive Document Summarization
Applied Sciences, 2019 Recently, neural sequence-to-sequence models have made impressive progress in abstractive document summarization. Unfortunately, as neural abstractive summarization research is in a primitive stage, the performance of these models is still far from ideal.
Xu-Wang Han +3 more
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Self-Repetition in Abstractive Neural Summarizers
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2022 We provide a quantitative and qualitative analysis of self-repetition in the output of neural summarizers. We measure self-repetition as the number of n-grams of length four or longer that appear in multiple outputs of the same system. We analyze the behavior of three popular architectures (BART, T5, and Pegasus), fine-tuned on five datasets.
Salkar, Nikita +3 more
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