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Automatic text summarization approaches
2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), 2017Automated Text Summarization (ATS) systems are very significant in many fields in Natural Language Processing (NLP). ATS generates a shorter version of the source text that contains most of the relevant information in the original text which can help users to find the required information they are looking for saving time and resources.
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Automatic Text Summarization and Classification
Proceedings of the ACM Symposium on Document Engineering 2018, 2018In this tutorial, we consider important aspects (algorithms, approaches, considerations) for tagging both unstructured and structured text for downstream use. This includes summarization, in which text information is compressed for more efficient archiving, searching, and clustering.
Steven J. Simske, Rafael Lins
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A method for Automatic Text Summarization based on Rhetorical Analysis and Topic Modeling
Int. J. Comput., 2020This article describes the original method of automatic summarization of scientific and technical texts based on rhetorical analysis and using topic modeling. The proposed method combines the use of a linguistic knowledge base and machine learning.
Tatiana Batura +2 more
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Automatic Text Summarization and Keyword Extraction using Natural Language Processing
International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-], 2020The process of gaining and absorbing the knowledge from various sources is a time-consuming process where people, mainly youth spend time surfing over the internet for relevant information.
Avinash Payak +3 more
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Automatic Text Summarization on Social Media
Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control, 2020In the Natural Language Processing (NLP) community, automatic text summarization is considered to be a very difficult problem. The textual content on the web, in particular, is growing at an exponential rate.
Zhang Kerui, Haichao Hu, Li Yuxia
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An Intelligent Automatic Text Summarizer
2009This paper describes an intelligent text summarizer that summarizes a given piece of text into three different summaries based on three different algorithms. This summarizer uses statistical methods to summarize a text like considering the frequency of words, rare words etc. It then gives a meaningful title to the main text and finally selects the best
M. Shoaib Jameel +5 more
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Automatic text summarization of news articles
2017 International Conference on Big Data, IoT and Data Science (BID), 2017Text Summarization has always been an area of active interest in the academia. In recent times, even though several techniques have being developed for automatic text summarization, efficiency is still a concern. Given the increase in size and number of documents available online, an efficient automatic news summarizer is the need of the hour.
Prakhar Sethi +3 more
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Automatic text summarization for government news reports based on multiple features
Journal of Supercomputing, 2023Yanni Yang +3 more
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Study of automatic text summarization approaches in different languages
Artificial Intelligence Review, 2021Yogesh Kumar, K. Kaur, Sukhpreet Kaur
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2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2014
Annapurna P Patil +4 more
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Annapurna P Patil +4 more
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