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Extractive Based Automatic Text Summarization

Sagar M Patel
2017 Journal of Computers  
In this paper, we discuss some of the extractive based text summarization approaches used by researchers. We also provide the features for extractive based text summarization process.  ...  We also present the available linguistic preprocessing tools with their features, which are used for automatic text summarization.  ...  Next, we present different techniques used by researchers for extractive based text summarization.  ... 
doi:10.17706/jcp.12.6.550-563 fatcat:76mcs4ifejabpa7hyjjwtrmiom

A text-extraction based summarizer

Tomek Strzalkowski, Gees C. Stein, G. Bowden Wise
1996 Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -  
In this paper we describe an automated summarizer that can generate both short indicative abstracts, useful for quick scanning of a list of documents, as well as longer informative digests that can serve  ...  as surrogates for the full text.  ...  Acknowledgements We would like to acknowledge the significant contributions to this project from two former members of our group: Fang Lin and Wang Jin.  ... 
doi:10.3115/1119089.1119123 dblp:conf/tipster/StrzalkowskiSW98a fatcat:pksz5xtjqbhhdeawt53n6mygna

Implemented Text Rank based Automatic Text Summarization using Keyword Extraction

Anurag Kumar Yadav, Mukesh Kumar, Ayonija Pathre
2020 International research journal of innovations in engineering and technology  
The Automatic text summarization is a kind of technique for generating a precise and concise summary.  ...  In this research paper, we are adopting implemented text rank based Automatic Text Summarization to achieve quality summary and quality keywords which are required for text summarization.  ...  To keep things simple, from Python NLTK toolkit, any machine learning library can be used [12] [13] [14] . Here are the steps for creating a simple text summarizer by using Python programming.  ... 
doi:10.47001/irjiet/2020.411003 fatcat:ekkyw2icj5bz7mv6lail2i3o6e

Topic Modeling Based Extractive Text Summarization

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
All extractive sub-summaries are later combined to generate a summary for any given source document. We utilize the lesser used and challenging WikiHow dataset in our approach to text summarization.  ...  In this paper, we propose a novel method to summarize a text document by clustering its contents based on latent topics produced using topic modeling techniques and by generating extractive summaries for  ...  CONCLUSION & FUTURE ENHANCEMENTS We have proposed a novel extractive text summarization method that builds upon the existing summarization techniques.  ... 
doi:10.35940/ijitee.f4611.049620 fatcat:to2izh7xb5aurgkgqhka2qqhku

Evolutionary Algorithm for Extractive Text Summarization

Rasim ALGULIEV, Ramiz ALIGULIYEV
2009 Intelligent Information Management  
The extractive summarization systems are typically based on techniques for sentence extraction and aim to cover the set of sentences that are most important for the overall understanding of a given document  ...  Abstractive summarization may compose novel sentences, unseen in the original sources. In our study we focus on sentence based extractive document summarization.  ...  Systems for extractive summarization are typically based on technique for sentence extraction, and attempt to identify the set of sentences that are most important for the overall understanding of a given  ... 
doi:10.4236/iim.2009.12019 fatcat:kb3aonicljgrxdlhb3aso463ou

Extractive Text Summarization using Neural Networks [article]

Aakash Sinha, Abhishek Yadav, Akshay Gahlot
2018 arXiv   pre-print
In contrast to this, we propose a fully data-driven approach using feedforward neural networks for single document summarization.  ...  Text Summarization has been an extensively studied problem. Traditional approaches to text summarization rely heavily on feature engineering.  ...  These techniques give poor results for general text summarization [8, 23, 24] .  ... 
arXiv:1802.10137v1 fatcat:5ds2oybrn5haldm2i6rbu2zc4y

Bengali text summarization by sentence extraction [article]

Kamal Sarkar
2012 arXiv   pre-print
Many techniques have been developed for summarizing English text(s). But, a very few attempts have been made for Bengali text summarization.  ...  In an automatic text summarization process, a text is given to the computer and the computer returns a shorter less redundant extract or abstract of the original text(s).  ...  Conclusion This paper discusses a single document text summarization method for Bengali. Many techniques have been developed for summarizing English text(s).  ... 
arXiv:1201.2240v1 fatcat:4rulg2a4l5er5hmoeiq3zothoy

Extracting sentence segments for text summarization

Wesley T. Chuang, Jihoon Yang
2000 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00  
We present an approach to the design of an automatic text summarizer that generates a summary by extracting sentence segments. First, sentences are broken into segments by special cue markers.  ...  Then a supervised learning algorithm is used to train the summarizer to extract important sentence segments, based on the feature vector.  ...  We have developed an automatic text summarizer based on sentence segment extraction.  ... 
doi:10.1145/345508.345566 dblp:conf/sigir/ChuangY00 fatcat:jmnmikuj5zfffefshxpxduzfti

Extractive text Summarization using Genetic Clustering Algorithm

Alok Rai, Yashashree Patil, Pooja Sulakhe, Gaurav Lal
2016 IJARCCE  
Therefore supported the analysis of already planned model of extractive text summarisation, We are developing extractive text summarization tool based on genetic algorithm named AETS..  ...  For this, extractive summarizing tool supported verified algorithm is required.  ...  It's helpful in convalescent data for user. Hence, we tend to propose a technique to expeditiously summarized text so as to induce sorted information.  ... 
doi:10.17148/ijarcce.2016.51228 fatcat:i4n6rw2lxrgwpccpb6ivdb7a7i

Application of Extractive Text Summarization Algorithms to Speech-to-Text Media [chapter]

Domínguez M. Victor, Fidalgo F. Eduardo, Rubel Biswas, Enrique Alegre, Laura Fernández-Robles
2019 Lecture Notes in Computer Science  
This paper presents how speech-to-text summarization can be performed using extractive text summarization algorithms.  ...  Experimental results showed that Luhn and TextRank obtained the best performance for the task of extractive speech-to-text summarization on the samples evaluated.  ...  Acknowledgement This research is supported by the INCIBE grant "INCIBEC-2015-27359" corresponding to the "Ayudas para la Excelencia de los Equipos de Investigación avanzada en ciberseguridad" and by the  ... 
doi:10.1007/978-3-030-29859-3_46 fatcat:vhnlwh65k5h4demo7jjf76762u

Evolutionary Algorithms for Extractive Automatic Text Summarization

Yogesh Kumar Meena, Dinesh Gopalani
2015 Procedia Computer Science  
The goal of this paper is to give a survey on the important techniques and methodologies that are employed using Genetic Algorithms in Automatic Text Summarization.  ...  For extractive text summarization in which representative sentences from the document itself are selected as summary, various statistical, knowledge based and discourse based methods are proposed by researchers  ...  It is similar to GA except it does not use mutation and crossover. Rest of the paper is organized as in section 2 we discuss related work in the area of Evolutionary extractive text summarization.  ... 
doi:10.1016/j.procs.2015.04.177 fatcat:avkbbtoqkbh4rdfesjqlnyydse

A Survey of Text Summarization Extractive Techniques

Vishal Gupta, Gurpreet Singh Lehal
2010 Journal of Emerging Technologies in Web Intelligence  
It is very difficult for human beings to manually summarize large documents of text. Text Summarization methods can be classified into extractive and abstractive summarization.  ...  In this paper, a Survey of Text Summarization Extractive techniques has been presented.  ...  Multi-document extractive summarization Multi document extractive summarization deals with extraction of summarized information from multiple texts written about the same topic.  ... 
doi:10.4304/jetwi.2.3.258-268 fatcat:anms2x4aczftdnedejeo2tznwm

Information-content based sentence extraction for text summarization

D. Mallett, J. Elding, M.A. Nascimento
2004 International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.  
This paper proposes the FULL-COVERAGE summarizer: an efficient, information retrieval oriented method to extract non-redundant sentences from text for summarization purposes.  ...  We show that our method can produce sentence-based summaries that are up to 78% smaller than the original text with only 3% loss in retrieval performance.  ...  Conclusions We have presented a technique for extracting keysentences from a document in order to use such sentences as a summary of the same.  ... 
doi:10.1109/itcc.2004.1286634 dblp:conf/itcc/MallettEN04 fatcat:kxfcsjbfunf3phbw3ugeyt3qcu

A Deep Look into Extractive Text Summarization

Jhonathan Quillo-Espino, Rosa María Romero-González, Ana-Marcela Herrera-Navarro
2021 Journal of Computer and Communications  
This document represents a derived model of text mining application in today's world. We demonstrate the way of performing the summarization. Random values were used to check its performance.  ...  This investigation has presented an approach to Extractive Automatic Text Summarization (EATS).  ...  Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper.  ... 
doi:10.4236/jcc.2021.96002 fatcat:2lgot3k5xjgvxmdv66qf5vye6m

Extractive text summarization system to aid data extraction from full text in systematic review development

Duy Duc An Bui, Guilherme Del Fiol, John F. Hurdle, Siddhartha Jonnalagadda
2016 Journal of Biomedical Informatics  
In this study, we developed a text summarization system aimed at enhancing productivity and reducing errors in the traditional data extraction process.  ...  Methods-We developed a computer system that used machine learning and natural language processing approaches to automatically generate summaries of full-text scientific publications.  ...  Acknowledgments This study was supported in part by grants 1R01LM011416-02, 4R00LM011389-02 and R01-LM010981 from the National Library of Medicine.  ... 
doi:10.1016/j.jbi.2016.10.014 pmid:27989816 pmcid:PMC5362293 fatcat:droid6aq4fg7pdhb4ypuwuef3a
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