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Modern Multi-Document Text Summarization Techniques

2020 International journal of recent technology and engineering  
This survey aims to distinguish the various summarization algorithms based on properties that prove to be valuable in the generation of highly consistent, rational, summaries with reduced redundancy and  ...  In this paper, a thorough comparison of the several multi-document text summarization techniques such as Machine Learning based, Graph based, Game-Theory based and more has been presented.  ...  The three important stages in sentiment analysis are: 1) sentence level, 2) document level and 3) Aspect level.  ... 
doi:10.35940/ijrte.a1945.059120 fatcat:evc3i323wjhlxkavul3clysaha

Graph-Based Methods for Multi-document Summarization: Exploring Relationship Maps, Complex Networks and Discourse Information [chapter]

Rafael Ribaldo, Ademar Takeo Akabane, Lucia Helena Machado Rino, Thiago Alexandre Salgueiro Pardo
2012 Lecture Notes in Computer Science  
In this work we investigate the use of graphs for multi-document summarization.  ...  More importantly, some of them perform almost as good as a deep approach.  ...  As expected, there is a high degree of redundancy in texts, which is natural in multidocument analysis tasks. Such redundancy is frequently indicated by links with very high degree of similarity.  ... 
doi:10.1007/978-3-642-28885-2_30 fatcat:tb6j2sqfwjfblinbxsil3ujt2y

MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report) [article]

George Giannakopoulos, Vangelis Karkaletsis University of the Aegean, Greece)
2010 arXiv   pre-print
This work defines the set of used operators upon n-gram graphs and proposes using these operators within the multi-document summarization process in such subtasks as document analysis, salient sentence  ...  The experimental results of the summarization system, performed upon widely used corpora from the Document Understanding and the Text Analysis Conferences, are promising and provide evidence for the potential  ...  As a sentence splitting module we have used the SentenceSplitter module of the JavaRAP toolkit (see http://www.comp.nus.edu.sg/~qiul/NLPTools/JavaRAP.html).  ... 
arXiv:1012.2042v1 fatcat:z7v7yzbwoje2zkip6ybis7enre

Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation [article]

Zishan Ahmad, Mukuntha N S, Asif Ekbal, Pushpak Bhattacharyya
2020 arXiv   pre-print
In this paper, we define the task of constructing a coherent paragraph from a set of disaster domain tweets, without any parallel data. We tackle the problem by building two systems in pipeline.  ...  Text generator systems have become extremely popular with the advent of recent deep learning models such as encoder-decoder.  ...  Although the work in this paper is different from summarization, it still tackles the problem of removing redundancies and joining sentences to form a coherent paragraph. III.  ... 
arXiv:2008.09333v1 fatcat:zxjwac5kc5at7hyubn3xng6e2y

Automated methods for the summarization of electronic health records: Table 1

Rimma Pivovarov, Noémie Elhadad
2015 JAMIA Journal of the American Medical Informatics Association  
Furthermore, in text processing, mapping from words to concepts remains difficult because of the strong ambiguity of language. 43 Detection of semantic redundancy has been investigated through two approaches  ...  to identifying and aggregating similar information on three different levels of language abstraction: words, concepts, and statements, as investigated within and outside the field of clinical summarization  ...  R.P. and N.E. both identified existing gaps in the literature. R.P. and N.E. wrote the paper.  ... 
doi:10.1093/jamia/ocv032 pmid:25882031 pmcid:PMC4986665 fatcat:3p5ujo7gpjchzn6kiyvdkqrd4e

QUERY-BASED SUMMARIZATION METHODS FOR CONVERSATIONAL AGENTS: AN OVERVIEW

Ketakee Nimavat
2017 International Journal of Advanced Research in Computer Science  
Summarization is a topic that will be of a great important in the coming age since intelligent assistants especially the ones in the form of conversational agents will have to sift through the abundance  ...  It is hoped that the approaches discussed in the paper will be of use to researchers building algorithms in areas of knowledge mining and understanding, such as summarization, that deal with the challenges  ...  in different languages.  ... 
doi:10.26483/ijarcs.v8i8.4788 fatcat:tc7jkg32dzem3hvpqt2ydq75iu

A Study Analysis based on Text Summarization Methods

R. Priyadharshini, M. Marikkannan
2021 Zenodo  
This paper produces the main idea of the text summarization, like what is text summarization and also describes what techniques are used in this field currently.  ...  So that same thing also discovered day by day in the computer era, In the computer field the concept of Text summarization creates the most attention.  ...  Some of the sentences are defined as the important sentences from each main topic by using a set of words and sentences in level features Redundancy in summary.  ... 
doi:10.5281/zenodo.4802977 fatcat:g5w2ar7hgvabjkp6y3so2zbtq4

Multi-document Summarization via Deep Learning Techniques: A Survey [article]

Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng
2021 arXiv   pre-print
We highlight the differences between various objective functions that are rarely discussed in the existing literature.  ...  We propose a novel taxonomy to summarize the design strategies of neural networks and conduct a comprehensive summary of the state-of-the-art.  ...  Text summarization is one of the important tasks of natural language processing that automatically convert a text or a collection of texts within the same topic into a concise summary that contains key  ... 
arXiv:2011.04843v3 fatcat:zfi52xxef5g2tjkaw6hgjpwa5i

Improving Update Summarization by Revisiting the MMR Criterion [article]

Florian Boudin, Juan-Manuel Torres-Moreno, Marc El-Bèze
2010 arXiv   pre-print
Through a participation to the Text Analysis Conference (TAC) 2008 evaluation campaign, we have shown that our method achieves promising results.  ...  This paper describes a method for multi-document update summarization that relies on a double maximization criterion.  ...  This variant of text summarization is called update summarization.  ... 
arXiv:1004.3371v1 fatcat:sn7tb6g6ubfspcazle5logrnfy

MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations

George Giannakopoulos, Jeff Kubina, John Conroy, Josef Steinberger, Benoit Favre, Mijail Kabadjov, Udo Kruschwitz, Massimo Poesio
2015 Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue  
MultiLing is a communitydriven initiative that pushes the state-ofthe-art in Automatic Summarization by providing data sets and fostering further research and development of summarization systems.  ...  In this paper we present an overview of MultiLing 2015, a special session at SIGdial 2015.  ...  The research leading to these results has received funding from the European Regional Development Fund of the European Union and from national funds in the context of the research project 'SentIMAGi -Brand  ... 
doi:10.18653/v1/w15-4638 dblp:conf/sigdial/GiannakopoulosK15 fatcat:prqqp64irveaphrm2y5bts33iq

From text question-answering to multimedia QA on web-scale media resources

Tat-Seng Chua, Richang Hong, Guangda Li, Jinhui Tang
2009 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining - LS-MMRM '09  
The aim of this paper is to extend the text-based QA research to multimedia QA to tackle a range of factoid, definition and "how-to" QA in a common framework.  ...  With the proliferation of text and multimedia information, users are now able to find answers to almost any questions on the Web.  ...  The first step on query analysis aims to expand query by identifying context of text search terms and inferring key high-level visual concepts in query.  ... 
doi:10.1145/1631058.1631069 dblp:conf/mm/ChuaHLT09 fatcat:yqb5axen7vetlbreeaiy74reue

Computational Linguistic Models and Language Technologies for Croatian

Bojana Dalbelo Basic, Zdravko Dovedan, Ida Raffaelli, Sanja Seljan, Marko Tadic
2007 Information Technology Interfaces  
This paper gives an overview of the scientific program "Computational linguistic models and language technologies for Croatian" that has been launched recently.  ...  Finally, the project's aim is to include, through the models and systems developed in the project, the Croatian language in the community of European languages at the level of developed linguistic technologies  ...  field of cognitive psychology, by researching cognitive processes when dealing with text mining, document summarization and indexing tasks.  ... 
doi:10.1109/iti.2007.4283826 fatcat:vgcbpyrfhzgntgpp7rqtaqgofe

Thematic Analysis And Visualization Of Textual Corpus

Anja Habacha Chabi, Ferihane Kboubi, Mohamed Ben Ahmed
2011 International Journal of Computer Science & Engineering Survey  
This allows us at the second level of analysis to identify the relations of thematic associations in a textual corpus.  ...  The semantic analysis of documents is a domain of intense research at present. The works in this domain can take several directions and touch several levels of granularity.  ...  implicit semantic relations (like it is shown in Figure 2 ), such as: -The synonymy (in the same paragraph one concept can be referenced by several different terms to avoid the redundancy).  ... 
doi:10.5121/ijcses.2011.2402 fatcat:nehjuszcrndh3kyim6jmhqt2xq

AN APPROACH FOR TEXT SUMMARIZATION USING DEEP LEARNING ALGORITHM

G. PadmaPriya, K. Duraiswamy
2014 Journal of Computer Science  
Now days many research is going on for text summarization. Because of increasing information in the internet, these kind of research are gaining more and more attention among the researchers.  ...  The f-measure value is the identifier to the performance of the proposed text summarization method.  ...  The features are processed through different levels of the RBM algorithm and the text summary is generated accordingly. The generated result is tested as per the evaluation matrices.  ... 
doi:10.3844/jcssp.2014.1.9 fatcat:wd4wzk6uhnfetit7o7xqk5qjmy

CAST: A Cross-Article Structure Theory for Multi-Article Summarization

Nouf Ibrahim Altmami, Mohamed El Bachir Menai
2020 IEEE Access  
Other applications of CAST could address the redundancy and readability problems, which represent main issues for different tasks, such as the summarization of multiple articles.  ...  The practicality of the theory is showcased by solving a problem that consists to identify the types of relations which exist between each pair of sentences in related sections of different articles.  ...  ACKNOWLEDGMENT This work was supported by the Research Center of the College of Computer and Information Sciences, King Saud University. The authors are grateful for this support.  ... 
doi:10.1109/access.2020.2997881 fatcat:jbecxhopuza3vdtit5qbjtqwcy
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