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A Systematic Survey on Multi-document Text Summarization

2021 International Journal of Advanced Trends in Computer Science and Engineering  
Text summarization can be classified based on the number of input documents (single document and multi-document summarization) and based on the characteristics of the summary generated (extractive and  ...  Automatic text summarization is a technique of generating short and accurate summary of a longer text document.  ...  Few of the most document summarization, the summary is generated from a popular approaches such as graph based, cluster based and single document, whereas multi-document  ... 
doi:10.30534/ijatcse/2021/111062021 fatcat:rs7d7bltbba6nj5ph3tx3hpgwm

Literature Survey on Topic Focused Multi-Document Summarization

R. Narmatha, S. Ranjitha, V. Praveena
2015 International Journal of Engineering Research and  
There are two approaches in multi document summarization: abstractive based summarization and extractive based summarization.  ...  Multi-document summarization is the way of generating summaries that are highly related to human generated summaries from multiple documents that are retaining the most important characteristics of the  ...  In previous work for single document summarization differ from multi-document summarization.  ... 
doi:10.17577/ijertv4is080599 fatcat:r7rl2l5uevhidjdackfh7pw3la

Pasokh: A standard corpus for the evaluation of Persian text summarizers

Behdad Behmadi Moghaddas, Mohsen Kahani, Seyyed Ahmad Toosi, Asef Pourmasoumi, Ahmad Estiri
2013 ICCKE 2013  
Keywords-computational processing of Persian;single document automatic summarization;multi-document automatic summarization; evaluation of automatic summarization;evaluation corpus I.  ...  The increasingly vast amount of information, particularly on the Web, has resulted in a profound need for automatic summarization systems.  ...  ACKNOWLEDGMENT The authors are grateful for the aid they received from Dr. Nader Jahangiri and the students of the Department of Linguistics at Ferdowsi University of Mashhad.  ... 
doi:10.1109/iccke.2013.6682873 fatcat:ccgbzr5j2vb27kreywpltoj2fm

Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification [article]

Ahmed Elnaggar, Christoph Gebendorfer, Ingo Glaser, Florian Matthes
2018 arXiv   pre-print
We applied the state of the art multi-task model on three tasks: translation, summarization, and multi-label classification.  ...  This opens a new direction to integrate DL technology more efficiently in the legal domain.  ...  Acknowledgements We gratefully acknowledge the support of Leibniz-Rechenzentrum, Microsoft Corporation and NVIDIA Corporation with hardware which were used for this research.  ... 
arXiv:1810.07513v1 fatcat:qdjmv6mwtvhdfn4thpjgwoxrhq

Big data summarization using semantic feture for IoT on cloud

Yoo-Kang Ji, Yong-Il Kim, Sun Park
2014 Contemporary Engineerng Sciences  
Big data is about the processing and analysis of large data repositories on Cloud computing. Big document summarization method is an important technique for data management of IoT.  ...  The experimental results demonstrate that the proposed method can summarize the big data document comparing with the single node of summarization methods. 1096 Yoo-Kang Ji et al.  ...  Li et al. extended the generic multi-document summarization using LSA for the query based document summarization [7] .  ... 
doi:10.12988/ces.2014.49137 fatcat:aazf6vcu2feldbkos4yco4npj4

Recent developments in text summarization

Inderjeet Mani
2001 Proceedings of the tenth international conference on Information and knowledge management - CIKM'01  
With the explosion in the quantity of on-line text and multimedia information in recent years, demand for text summarization technology is growing.  ...  Increased pressure for technology advances is coming from users of the web, on-line information sources, and new mobile devices, as well as from the need for corporate knowledge management.  ...  MULTI-DOCUMENT SUMMARIZATION Multi-Document Summarization (MDS) is, by definition, the extension of single-document summarization to collections of related documents.  ... 
doi:10.1145/502585.502677 dblp:conf/cikm/Mani01 fatcat:iwewickpdjgdrkz5nkolp7ef4e

Recent developments in text summarization

Inderjeet Mani
2001 Proceedings of the tenth international conference on Information and knowledge management - CIKM'01  
With the explosion in the quantity of on-line text and multimedia information in recent years, demand for text summarization technology is growing.  ...  Increased pressure for technology advances is coming from users of the web, on-line information sources, and new mobile devices, as well as from the need for corporate knowledge management.  ...  MULTI-DOCUMENT SUMMARIZATION Multi-Document Summarization (MDS) is, by definition, the extension of single-document summarization to collections of related documents.  ... 
doi:10.1145/502676.502677 fatcat:ddysknmd2rbaziiaawkemqsn3a

Recent Trends in Deep Learning Based Abstractive Text Summarization

2019 International journal of recent technology and engineering  
Text Summarization has become an important and timely tool for assisting and interpreting text information. It is generally distinguished into: Extractive and Abstractive.  ...  It is open problem in Natural Language Processing (NLP) and a difficult work for humans to understand and generate an abstract manually while it have need of a accurate analysis of the document.  ...  Managing these concepts or factors from single document to multi-document is the ultimate objective for researchers.  ... 
doi:10.35940/ijrte.c4996.098319 fatcat:xvzhfor7cfdujl23cewmlbcdmy

Top approaches to abstractive text summarization: A survey

2020 International Journal of Emerging Trends in Engineering Research  
In text mining, summarization is a task where the gist of the source text is generated by the system. Extractive and abstractive are the two variants of text summarization based on context.  ...  Abstractive text summarization system understands, interpret the original text and presents the text in new form therefore abstractive summarization require more engineering and linguistic efforts.  ...  Abstractive and extractive summarization can be multi document or single document summarization. if the system takes one document as input then it is a single document extractive/abstractive summarization  ... 
doi:10.30534/ijeter/2020/1058102020 fatcat:xxammqkunjdwve3omipqcor6qq

Text Summarization using topic modeling and cluster based MapReduce framework

N. Prameela
2016 International Journal Of Engineering And Computer Science  
Summarization of text collection involves intensive text processing and computations to generate the summary. MapReduce is proven state of art technology for handling Big Data.  ...  Document summarization provides an instrument for faster understanding the collection of text documents and has a number of real life applications.  ...  In single-document summarizers, a single large text document is summarized to another single document summary, whereas in multi-document summarization, a set of text documents (multi documents) are summarized  ... 
doi:10.18535/ijecs/v5i12.29 fatcat:ecakp7imfrc4nejnz3r74wcff4

Keyword based Automatic Summarization of HTML Documents

Shivangi Gupta, Mukesh Rawat
2015 International Journal of Computer Applications  
Multi-document summarization creates information reports that are both concise and comprehensive.  ...  Multi-document summarization [6] can be defined as an automatic procedure which extracts information from multiple texts that is written about the same topic.  ...  ACKNOWLEDGMENTS The authors are thankful to Director, Meerut Institute of Engineering and Technology, Meerut for his support and guidance.  ... 
doi:10.5120/ijca2015906421 fatcat:47jbknwrwjd7bpp6izxsrn6i34

Multi-Document Summarization Using K-Medoids Clustering Approach

Dharani Dharan A C
2017 International Journal for Research in Applied Science and Engineering Technology  
Multi document summarization uses topic modeling and clustering based approach for summarizing the large text collection over MapReduce framework.  ...  Multi document summarization is the process of transforming a set of documents into a single summarized document. The summarized document can give overall idea of the document collection.  ...  Figure 1 1 Methodology of Multi Document Summarization  ... 
doi:10.22214/ijraset.2017.2096 fatcat:vokulnjys5hrpol7lwlifjhpfu

Text Summary Generation Techniques

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Pattern Recognition is pertinent field in autonomous text summarization for extraction of features from relative and non relative text documents.  ...  Here we provide empirical evidence that the method of Deep learning using RNN outperforms various techniques in terms of speed as well as metrics in abstractive summarization of multi-modal documents.  ...  The approach is about summarizing documents with text and images by extracting sentences and images from the original document to generate the extractive multi model summary.  ... 
doi:10.35940/ijitee.g1016.0597s20 fatcat:lzggaegp25dk3pzuh4gmfoncru

Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study

Jianmin Zhang, Jiwei Tan, Xiaojun Wan
2018 Proceedings of the 11th International Conference on Natural Language Generation  
Till now, neural abstractive summarization methods have achieved great success for single document summarization (SDS).  ...  However, due to the lack of large scale multi-document summaries, such methods can be hardly applied to multi-document summarization (MDS).  ...  Acknowledgment This work was supported by National Natural Science Foundation of China (61772036, 61331011) and Key Laboratory of Science, Technology and Standard in Press Industry (Key Laboratory of  ... 
doi:10.18653/v1/w18-6545 dblp:conf/inlg/ZhangT018 fatcat:5y2ny3g3ljhnxgg5357fobilhy

A Proposed Textual Graph Based Model for Arabic Multi-document Summarization

Muneer A., Hoda M.
2016 International Journal of Advanced Computer Science and Applications  
The proposed model is based on textual graph to remove multi-document redundancy and generate coherent summary.  ...  However, such methods developed in a multi-document Arabic text summarization are based on extractive summary and none of them is oriented to abstractive summary.  ...  Single document summarization produces summary for one document about a specific subject whereas multi-document summarization aims to generate a single summary of a group of related documents.  ... 
doi:10.14569/ijacsa.2016.070656 fatcat:6mqswodgmncgngzst2p4hnul3u
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