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Sentiment-Aware Extractive and Abstractive Summarization for Unstructured Text Mining [PDF]

Junyi Liu, Stanley Kok
openalex  

Trends and Trajectories in the Rise of Large Language Models in Radiology: Scoping Review.

JMIR Med Inform
Al Zaabi A, Alshibli R, AlAmri A, AlRuheili I, Lutfi SL.   +4 more
europepmc   +1 more source

Task-Specific Transformer-Based Language Models in Health Care: Scoping Review.

JMIR Med Inform
Cho HN, Jun TJ, Kim YH, Kang H, Ahn I, Gwon H, Kim Y, Seo J, Choi H, Kim M, Han J, Kee G, Park S, Ko S.   +13 more
europepmc   +1 more source

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Abstractive Summarization

International Journal on Semantic Web and Information Systems, 2016
Customization of information from web documents is an immense job that involves mainly the shortening of original texts. This task is carried out using summarization techniques. In general, an automatically generated summary is of two types – extractive and abstractive.
J. Balaji, T.V. Geetha, Ranjani Parthasarathi   +2 more
openaire   +1 more source

Graph-based abstractive biomedical text summarization

Journal of Biomedical Informatics, 2022
Summarization is the process of compressing a text to obtain its important informative parts. In recent years, various methods have been presented to extract important parts of textual documents to present them in a summarized form. The first challenge of these methods is to detect the concepts that well convey the main topic of the text and extract ...
Azadeh Givchi, Reza Ramezani, Ahmad Baraani-Dastjerdi   +2 more
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Abstractive multi-document summarization

2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017
Abstractive multi-document summarization aims at generating new sentences whose elements originate from different source sentence. It can be achieved via phrase selection and merging approach which aims at constructing new sentences by exploring syntactic units such as fine-grained noun and verb phrase.
N. S. Ranjitha, Jagadish S Kallimani
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Abstractive Thai Opinion Summarization

Advanced Materials Research, 2014
With the advancement in the Internet technology, customers can easily share opinions on services and products in forms of reviews. There can be large amounts of reviews for popular products. Manually summarizing those reviews for important issues is a daunting task. Automatic opinion summarization is a solution to the problem.
Orawan Chaowalit, Ohm Sornil
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Abstractive Summarization with the Aid of Extractive Summarization

2018
Currently the abstractive method and extractive method are two main approaches for automatic document summarization. To fully integrate the relatedness and advantages of both approaches, we propose in this paper a general framework for abstractive summarization which incorporates extractive summarization as an auxiliary task.
Yangbin Chen, Yun Ma, Xudong Mao, Qing Li   +3 more
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Abstractive text summarization

2019
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Graph-Based Abstractive Summarization

2018
Customization of information from web documents is an immense job that involves mainly the shortening of original texts. Extractive methods use surface level and statistical features for the selection of important sentences. In contrast, abstractive methods need a formal semantic representation, where the selection of important components and the ...
Balaji Jagan, Ranjani Parthasarathi, null Geetha T. V.   +2 more
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