Results 21 to 30 of about 6,808 (273)
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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Japanese Abstractive Text Summarization using BERT
Advances in Science, Technology and Engineering Systems Journal, 2019 In this study, we developed an automatic abstractive text summarization algorithm in Japanese using a neural network. We used a sequence-to-sequence encoder-decoder model for experimentation purposes. The encoder obtained a feature-based input vector of sentences using BERT.
Yuuki Iwasaki +3 more
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AUTOMATED SUMMARIZATION OF RESTAURANT REVIEWS USING HYBRID APPROACHES
ICTACT Journal on Soft Computing, 2022 The arena of automatic text summarization incorporates the paramount and relevant information from a large document. This research paper attempts at representing two hybrid models for automatic text summarization.
Shini George, V. Srividhya
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Text Summarization using different Methods for Deep Learning [PDF]
BIO Web of ConferencesIn the current era of rapid information expansion, text summarization has become vital for comprehending textual material. Physically condensing large textual volumes is challenging for humans, especially considering the vast amount of text content ...
Shaker Fatima +3 more
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Automatic Summary Generation of News for People's Daily Online Corpus
Zhishi guanli luntan, 2022 [Purpose/significance] This paper conducts a study for the mainstream news media for People's Daily Online corpus, aiming to provide ideas and practical support for the study of automatic text summarization, which can then ...
Liang Yuan, Wang Dongbo, Huang Shuiqing
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A Comprehensive Review of Arabic Text Summarization
IEEE Access, 2022 The explosion of online and offline data has changed how we gather, evaluate, and understand data. It is frequently difficult and time-consuming to comprehend large text documents and extract crucial information from them.
Asmaa Elsaid +3 more
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Faithful to the Original: Fact Aware Neural Abstractive Summarization
, 2017 Unlike extractive summarization, abstractive summarization has to fuse different parts of the source text, which inclines to create fake facts. Our preliminary study reveals nearly 30% of the outputs from a state-of-the-art neural summarization system ...
Cao, Ziqiang +3 more
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A Neural Attention Model for Abstractive Sentence Summarization
, 2015 Summarization based on text extraction is inherently limited, but generation-style abstractive methods have proven challenging to build. In this work, we propose a fully data-driven approach to abstractive sentence summarization.
Chopra, Sumit +2 more
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End to End Urdu Abstractive Text Summarization With Dataset and Improvement in Evaluation Metric
IEEE AccessUrdu, being a common language in South Asia, has not received significant attention in terms of language processing compared to more advanced languages.
Hassan Raza, Waseem Shahzad
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Deep Recurrent Generative Decoder for Abstractive Text Summarization
, 2017 We propose a new framework for abstractive text summarization based on a sequence-to-sequence oriented encoder-decoder model equipped with a deep recurrent generative decoder (DRGN).
Bing, Lidong +3 more
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