Unsupervised Extractive Text Summarization Using Frequency-Based Sentence Clustering
Large texts are not always entirely meaningful: they might include repetitions and useless details, and might not be easy to interpret by humans. Automatic text summarization aims to simplify text by making it shorter and (possibly) more informative. This paper describes a new solution for extractiv...
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| Format: | conferenceObject |
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2022
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| Online Access: | http://hdl.handle.net/10725/16287 https://doi.org/10.1007/978-3-031-15743-1_23 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-031-15743-1_23 |
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