Text Summarization 2015


Notes:

  • Fuzzy relational clustering
  • Human aided machine summarization (HAMS)
  • Intweetive
  • Machine aided human summarization (MAHS)
  • Text summarizer

Resources:

Wikipedia:

References:

See also:

Text Summarization 2014


Lcsts: A large scale chinese short text summarization dataset B Hu, Q Chen, F Zhu – arXiv preprint arXiv:1506.05865, 2015 – arxiv.org Abstract: Automatic text summarization is widely regarded as the highly difficult problem, partially because of the lack of large text summarization data set. Due to the great challenge of constructing the large scale summaries for full text, in this paper, we introduce a large … Cited by 10 Related articles All 11 versions

Scientific Documents clustering based on Text Summarization PV Amoli, OS Sh – International Journal of Electrical and …, 2015 – search.proquest.com Abstract In this paper a novel method is proposed for scientific document clustering. The proposed method is a summarization-based hybrid algorithm which comprises a preprocessing phase. In the preprocessing phase unimportant words which are frequently … Cited by 5 Related articles All 3 versions

Incrests: Towards real-time incremental short text summarization on comment streams from social network services CY Liu, MS Chen, CY Tseng – IEEE Transactions on …, 2015 – ieeexplore.ieee.org Abstract—This paper focuses on the problem of short text summarization on the comment stream of a specific message from social network services (SNS). Due to the high popularity of SNS, the quantity of comments may increase at a high rate right after a social message … Cited by 3 Related articles All 3 versions

Evolutionary algorithms for extractive automatic text summarization YK Meena, D Gopalani – Procedia Computer Science, 2015 – Elsevier Abstract Due to the exponential growth of documents on internet, users want all the relevant data at one place without any hassle. This led to the growth of Automatic Text Summarization. For extractive text summarization in which representative sentences from … Cited by 2 Related articles All 2 versions

Improving Performance of Text Summarization SA Babar, PD Patil – Procedia Computer Science, 2015 – Elsevier Abstract Today, the tremendous information is available on the internet; it is difficult to get the information fast and most efficiently. There are so many text materials available on the internet, in order to extract the most relevant information from it, we need a good … Cited by 2 Related articles All 2 versions

Domain independent framework for automatic text summarization YK Meena, D Gopalani – Procedia Computer Science, 2015 – Elsevier Abstract Due to the exponential growth of documents on internet, users want all the relevant data at one place without any hassle. This led to the growth of Automatic Text Summarization. For this purpose a number of methods have been proposed by … Cited by 2 Related articles All 2 versions

Automatic text summarization A Patil, K Pharande, D Nale… – International Journal of …, 2015 – search.proquest.com Abstract This paper investigates on sentence extraction based single Document summarization. It saves time in our daily work once we get summarized data. Today there are so many Documents, articles, papers and reports available in digital form, but most of … Cited by 2 Related articles All 4 versions

A supervised approach to arabic text summarization using adaboost R Belkebir, A Guessoum – New Contributions in Information Systems and …, 2015 – Springer Abstract In recent years, research in text summarization has become very active for many languages. Unfortunately, looking at the effort devoted to Arabic text summarization, we find much fewer attention paid to it. This paper presents a Machine Learning-based approach … Cited by 2 Related articles All 2 versions

An Improvised Extractive Approach to Hindi Text Summarization KV Kumar, D Yadav – Information Systems Design and Intelligent …, 2015 – Springer Abstract Text summarization is defined as a task of minimizing a text that is produced from one or more texts such that the actual significant information in the texts is not lost. A text summarization tool compresses the text and displays only the important content to the … Cited by 2 Related articles All 3 versions

A dynamic programming algorithm for tree trimming-based text summarization M Nishino, N Yasuda, T Hirao… – … of NAACL HLT, 2015 – anthology.aclweb.org Abstract Tree trimming is the problem of extracting an optimal subtree from an input tree, and sentence extraction and sentence compression methods can be formulated and solved as tree trimming problems. Previous approaches require integer linear programming (ILP) … Cited by 2 Related articles All 5 versions

Random indexing and modified random indexing based approach for extractive text summarization N Chatterjee, PK Sahoo – Computer Speech & Language, 2015 – Elsevier Abstract Random Indexing based extractive text summarization has already been proposed in literature. This paper looks at the above technique in detail, and proposes several improvements. The improvements are both in terms of formation of index (word) vectors of … Cited by 2 Related articles All 4 versions

Unstructured Text Summarization Approach in the Age of Big Data: A Review T Sandhya, S Machchhar – Data Mining and Knowledge …, 2015 – ciitresearch.org Abstract Text summarization is the task of reducing a text document with help of a software in order to generate a summary that retains the most important parts of the original document. It is not simple for individuals to manually summarize expansive reports of content … Cited by 1 Related articles All 2 versions

Feature Priority Based Sentence Filtering Method for Extractive Automatic Text Summarization YK Meena, D Gopalani – Procedia Computer Science, 2015 – Elsevier Abstract Due to increasing amount of text data available on internet it becomes difficult for users to get the desired information quickly. In order to reduce this access time a summary could be utilized generated using Automatic Text Summarization. In general it could be … Cited by 1 Related articles All 2 versions

Text Summarization Basing on Font and Cue-Phrase Feature for a Single Document S Lakshmi, KS Deepthi, C Suresh – Emerging ICT for Bridging the Future- …, 2015 – Springer Abstract In recent times owing to the magnitude of data present digitally across networks over a wide range of databases the need for text summarization has never been higher. The following paper deals with summarization of text derived from the syntactic and semantic … Cited by 1 Related articles

Multi-document text summarization for competitor intelligence: a methodology based on topic identification and artificial bee colony optimization S Chakraborti – Proceedings of the 30th Annual ACM Symposium on …, 2015 – dl.acm.org Abstract Today’s extremely competitive business landscape necessitates regular information gathering about competitor companies by every organization. With increasing adoption of Internet and various social media technologies by companies, the web has become a rich … Cited by 2 Related articles

Summarization of changes in dynamic text collections using Latent Dirichlet Allocation model M Kar, S Nunes, C Ribeiro – Information Processing & Management, 2015 – Elsevier In the area of Information Retrieval, the task of automatic text summarization usually assumes a static underlying collection of documents, disregarding the tem. … Cited by 4 Related articles All 4 versions

Automatic text summarization of wikipedia articles D Hingu, D Shah, SS Udmale – Communication, Information & …, 2015 – ieeexplore.ieee.org Abstract—The main objective of a text summarization system is to identify the most important information from the given text and present it to the end users. In this paper, Wikipedia articles are given as input to system and extractive text summarization is presented by … Cited by 2 Related articles

Trends in extractive and abstractive techniques in text summarization N Bhatia, A Jaiswal – International Journal of Computer …, 2015 – search.proquest.com Abstract Text Summarization was proved to be an advantage over manually summarizing the large data. It condenses the salient features from the text by preserving the content and serves the meaningful summary. Classification can be done in two ways-extractive and … Cited by 1 Related articles All 5 versions

Automatic text document summarization based on machine learning G Silva, R Ferreira, RD Lins, L Cabral… – Proceedings of the …, 2015 – dl.acm.org … General Terms Algorithms, Experimentation Keywords Text Summarization; Extractive features; Sentence Scoring Methods 1. INTRODUCTION Automatic document summarization is a research area that was born in the early 1950’s. … Cited by 2 Related articles

Literature Review on Automatic Text Summarization: Single and Multiple Summarizations N Bhatia, A Jaiswal – International Journal of Computer …, 2015 – search.proquest.com Abstract The online information available on world wide web is in enormous amount. Search engines like Google, Yahoo were developed to retrieve information from the databases. But actual results were not obtained as the electronic information is increasing day by day. … Cited by 1 Related articles All 5 versions

Efficient Keyword Extraction And Text Summarization For Reading Articles On Smart Phone. H Jeong, Y Ko, J Seo – Computing and Informatics, 2015 – Citeseer Abstract. These days, we can connect to the Internet from almost anywhere, allowing us to access web content, including newspapers, magazines, blogs and websites, using mobile devices such as a smart phone. However, people sometimes struggle to read and use the … Cited by 1 Related articles All 4 versions

A New Similarity Measure and Mathematical Model for Text Summarization RM Alguliyev, RM Aliguliyev, NR Isazade – Problems of Information …, 2015 – jpit.az This paper proposes a new text similarity measure and mathematical model for automatic text summarization. Model consists of two stages. At the first stage, for detection of topics the sentences in document collection are clustered. At the second stage, the model generates … Cited by 1 Related articles All 3 versions

Improving graph based multidocument text summarization using an enhanced sentence similarity measure K Sarkar, K Saraf, A Ghosh – Recent Trends in Information …, 2015 – ieeexplore.ieee.org Abstract-Multi document summarization is a process to produce a single summary from a set of related documents collected from heterogeneous sources. Since the documents may contain redundant information, the performance of a multi document summarization … Cited by 1 Related articles

The automatic summarization of text documents in the Cognitive Integrated Management Information System M Hernes, M Maleszka, NT Nguyen… – Computer Science …, 2015 – ieeexplore.ieee.org … in the work of A.Dudczak [10]. Also E. Branny, M. Gajecki [46] present an algorithm for text summarization in Polish. … [3] R. Barzilay and M. Elhadad , “Using lexical chains for text summarization”, Inteligent Scalable Text Summ Cited by 3 Related articles All 3 versions

Multiple Text Document Summarization System using hybrid Summarization technique H Dave, S Jaswal – Next Generation Computing Technologies ( …, 2015 – ieeexplore.ieee.org … Abstract—Text Summarization plays an important role in the area of text mining and natural language processing. … Text Summarization aims to compress the source text into a shorter and concise form with preserving its information content and overall meaning. … Related articles

Text Summarization using Fuzzy Relational Clustering Algorithm SA Kinariwala, BM Kulkarni – … Journal Of Scientific Research And Education, 2015 – ijsae.in Abstract The amount of stored data is increasing day by day. The automatic document summarization is used to solve the problem of information overload. The general technique to generate the summary is to use clustering, where sentence clustering plays vital role. … Related articles

Feature Selection for Language Independent Text Forum Summarization VA Grozin, NF Gusarova, NV Dobrenko – International Conference on …, 2015 – Springer … more detail subsequently. The obvious solution is to use techniques of text summarization. But important information … and so on. There is a number of the works devoted to multi-lingual aspects of text summarization. For example, in … Cited by 2 Related articles All 2 versions

Text Summarization Using Cuckoo Search Optimization Algorithm SH Mirshojaei, B Masoomi – Journal of Computer & Robotics, 2015 – qjcr.ir Abstract Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is … Related articles All 4 versions

Multilingual text summarization with UNL P Bhatia – … ), 2015 International Conference on Advances in, 2015 – ieeexplore.ieee.org Abstract—The paper presents an algorithm for single document text summarization. Text Summarization is extraction of important information from the large documents by neglecting the unnecessary information with the help of different algorithms and providing the … Related articles

A Quantitative and Qualitative Assessment of Automatic Text Summarization Systems J Batista, R Ferreira, H Tomaz, R Ferreira… – Proceedings of the …, 2015 – dl.acm.org Abstract Text summarization is the process of automatically creating a shorter version of one or more text documents. This paper presents a qualitative and quantitative assessment of the 22 state-of-the-art extractive summarization systems using the CNN corpus, a dataset … Cited by 4 Related articles

Automatic Text Summarization Using Latent Drichlet Allocation (LDA) for Document Clustering EY Hidayat, F Firdausillah, K Hastuti, IN Dewi… – International Journal of …, 2015 – ijain.org Abstract In this paper, we present Latent Drichlet Allocation in automatic text summarization to improve accuracy in document clustering. The experiments involving 398 data set from public blog article obtained by using python scrapy crawler and scraper. Several steps of … Related articles All 2 versions

Text Summarization Using Semantic Analysis of Frequent Terms J Rohilla, U Yadav – MR International Journal of Engineering & …, 2015 – mriu.edu.in Abstract Due to growing amount of data and comparatively less amount of information on web, it becomes necessary to introduce a mechanism that can easily search out relevant information from that bulk of data. This direction approaches to the concept of text … Related articles All 2 versions

Integrating Text Summarization and Reranking in GIR systems A Janisha, S Hameed – 2015 – csidl.org Abstract—Availability and access of on-line resources have grown exponentially in the last few years. The information retrieval process that focuses on efficient access to information stored in huge document databases has been focus of interest of many researchers. … Related articles

New approaches for enhancing Text Summarization HEED Hasan – cu.edu.eg Sim (Si, Sj) Similarity between sentence i and sentence j. Si Sentence i in the document. tij Frequency of term i in sentence j. gi The total number of times that a word i occurs in the whole document. Lij Local weight of term i in sentence j. Gj Global weight of term i in the … All 2 versions

Automatic multi-document Arabic text summarization using clustering and keyphrase extraction HN Fejer, N Omar – Journal of Artificial Intelligence, 2015 – search.proquest.com Abstract Automatic text summarization has become important due to the rapid growth of information texts since it is very difficult for human beings to manually summarize large documents of texts. A full understanding of the document is essential to form an ideal … Related articles All 5 versions

Kannada text summarization using Latent Semantic Analysis JK Geetha, N Deepamala – Advances in Computing, …, 2015 – ieeexplore.ieee.org Abstract-Text Summarization is a method of reducing the original text document into a short description. This short version retains the meaning and information content of the original text document. It is a difficult task for human beings to generate the summary for very large … Related articles

Text Summarization Using Hierarchical Clustering Algorithm And Expectation Maximization Clustering Algorithm MMP Lokhande, MN Gawande, MS Koprade… – d.researchbib.com ABSTRACT Due to an exponential growth in the generation of web data, the need for text summarization of web documents has become very critical. Web data can be accessed by different ways, large amount of data is available which makes searching for relevant … Related articles

Analysis On Extractive Automatic Text Summarization Using Machine Learning N Preethi – ijcrcst.com Abstract: Automatic summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most important points of the original document. With the increasing popularity of Internet and the variety of information … Related articles

Extractive Text Summarization Using Modified Weighing and Sentence Symmetric Feature Methods SD Kavila, Y Radhika – International Journal of Modern …, 2015 – search.proquest.com Abstract Text Summarization is a process that converts the original text into summarized form without changing the meaning of its contents. It finds its usefulness in many areas when the time to go through a large content is limited. This paper presents a comparative … Related articles All 4 versions

Text Summarization using Clustering Technique and SVM Technique KM ShivaKumar, R Soumya – International Journal of Applied …, 2015 – academia.edu Abstract The Text Summarization is one of the problem under Natural Language Processing. This system which gives a single summarized document from multiple related documents. The summarizer provides an accurate result to the input query in the form of a precise text … Related articles

A Survey of Various Methods for Text Summarization V Dalal, Y Shelar – academia.edu Abstract:-Document summarization means retrieved short and important text from the source document. In this paper, we studied various techniques. Plenty of techniques have been developed on English summarization and other Indian languages but very less efforts … Related articles

Improving the Performance for Single and Multi-document Text Summarization via LSA & FL MPD Patil, PM Mane – academia.edu ABSTRACT The automation of the process of summarizing documents assumes a basic part in numerous applications. Automatic Text Summarization has been deliberate on keep hold of the essential data without concerning the archive quality. This paper proposes on … Related articles All 2 versions

Conceptual Framework For Abstractive Text Summarization N Munot, SS Govilkar – academia.edu ABSTRACT As the volume of information available on the Internet increases, there is a growing need for tools helping users to find, filter and manage these resources. While more and more textual information is available online, effective retrieval is difficult without … Related articles

Automatic Text Summarization With Statistical, Linguistic and Cohesion Features NR Patil, GK Patnaik – ijettjournal.org Abstract—In recent days, the large amount of information getting increased on internet; it is difficult for the user to go through all the information available on web. Automatic summarization system is used to reduce the user’s time in reading the whole information … Related articles

Automatic Text Summarization A Rajkhowa – krishisanskriti.org Abstract—In today’s fast growing information world, text summarization has become an important matter for interpreting text information. It is the process of summarizing a source text to a shorter version containing all its information and overall meaning. There are two … Related articles

A Review Paper On Text Summarization Of Hindi Documents N Jhatta, AK Bathla – 2015 – ijrcar.com Abstract:-A summary of a document is a (much) shorter text conveys the most important information from the source document. Summary of the text must contain important information from the document. Summary of the text can be generated from a single … Related articles All 3 versions

An approach to automatic summarization for Chinese text based on the combination of spectral clustering and LexRank K Wu, P Shi, D Pan – Fuzzy Systems and Knowledge Discovery …, 2015 – ieeexplore.ieee.org … IV. EXPERIMENTS AND DISCUSSIONS We use the text summarization corpus supplied by Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology. … In: Advances in automatic text summarization. pp 15–22 . … Related articles

Graph Based Technique for Hindi Text Summarization KV Kumar, D Yadav, A Sharma – Information Systems Design and …, 2015 – Springer Abstract Automatic Summarization is the process of generating or extracting the important sentences from the given input document. Since there are many such systems for English language so this proposed system is mainly focused on the Hindi language. The basic … Related articles All 3 versions

On Definition of Automatic Text Summarization PMS Conrad – The Second International Conference on Digital …, 2015 – researchgate.net ABSTRACT Research in the continuously growing field of automatic text summarization is branched into extractive and abstractive approaches. Over the past few decades, major advances have occurred in extractive summarization and a smooth transition from … Related articles

Big Data Text Summarization for Events: A Problem Based Learning Course T Kanan, X Zhang, M Magdy, E Fox – Proceedings of the 15th ACM/IEEE- …, 2015 – dl.acm.org Abstract Problem/project Based Learning (PBL) is a highly effective student-centered teaching method, where student teams learn by solving problems. This paper describes an instance of PBL applied to digital library education. We show the design, implementation, … Related articles

Improving Clustering Quality by Automatic Text Summarization M Pourvali, S Orlando, M Gharagozloo – Asia Information Retrieval …, 2015 – Springer Abstract Automatic text summarization is the process of reducing the size of a text document, to create a summary that retains the most important points of the original document. It can thus be applied to summarize the original document by decreasing the importance or … Related articles All 2 versions

Abstractive Multi-Document Text Summarization Using Automatic Text Summarizer Algorithm S Sridevi, S Priya – jrret.com Abstract-The number of web pages on the World Wide Web is increasing very rapidly. Consequently, a search engine like Google, AltaVista, and Bing etc. provides a long list of URLs to the end user. So, it becomes very difficult to review and analyze each web page … Related articles

Text Summarization by using Genetic Algorithm Method AA Mohammed – 2015 – repository.sustech.edu Automatic text summarization is a process of rewriting text into a shorter compressed version from the original text. Extraction focuses on the selection of particular pieces of text from a document where the sentences and/or phrases with the highest score are considered as …

A Graph Based Ranking Strategy for Automated Text Summarization N Agrawal, S Sharma, P Sinha, S Bagai – journals.du.ac.in ABSTRACT Text summarization is a process of capturing the idea and line of thought from an original text and inculcating the same into a short coherent text. Automated text summarization aims to meet this objective of retaining all the key ideas instilled in the text … Related articles

A Novel Approach Towards Automatic Text Summarization Using Lexical Chains S Katiyar, SK Borgohain – server2.docfoc.com Abstract—Text summarization is a process of extracting text by virtue of reduction of document contents while preserving the salient information intact. By using different set of parameters like position, format and type of sentences in an input text, frequency of words … Related articles

Automatic Text Summarization Using Importance of Sentences for Email Corpus S Nadella – 2015 – repository.asu.edu ABSTRACT With the advent of Internet, the data being added online is increasing at enormous rate. Though search engines are using IR techniques to facilitate the search requests from users, the results are not effective towards the search query of the user. The … Related articles All 2 versions

A Comparative Study Of Hindi Text Summarization Techniques: Genetic Algorithm And Neural Network PG Student, DM COE – 2015 – academicscience.co.in Abstract Automatic text summarization is a process which filters out the most essential part of the original source text/s. It eliminates the redundant, less important content and provides you with the vital information in a shorter version usually half a length of original text. As it … Related articles

Intweetive Text Summarization JM Jean-Valere Cossu, ESJ Torres-Moreno – Citeseer Abstract. The amount of user generated contents from various social medias allows analyst to handle a wide view of conversations on several topics related to their business. Nevertheless keeping up-to-date with this amount of information is not humanly feasible. … Related articles All 3 versions

Summarization as the base for text assessment NN Karanikolas – … INFORMATION (IC-ININFO 2014): Proceedings of …, 2015 – scitation.aip.org We present a model that apply shallow text summarization as a cheap (in resources needed) process for Automatic (machine based) free text answer Assessment (AA). The evaluation of the proposed method induces the inference … All 2 versions

A Multi-Document Hindi Text Summarization Technique Using Fuzzy Logic AS Bhoir, A Gulati – data.conferenceworld.in ABSTRACT Today it is very difficult, laborious and time consuming task to extract information manually from large amount of data available. Many summarization techniques have been developed for English language but very less research work is carried out in the area of … Related articles

Hybrid Keyword Extraction Algorithm and Cosine Similarity for Improving Sentences Cohesion in Text Summarization R Darmawan, RS Wahono – Journal of Intelligent Systems, 2015 – journal.ilmukomputer.org Abstract As the amount of online information increases, systems that can automatically summarize text in a document become increasingly desirable. The main goal of a text summarization is to present the main ideas in a document in less space. In the create text … Related articles

Figure-Associated Text Summarization and Evaluation BP Ramesh, RJ Sethi, H Yu – PloS one, 2015 – journals.plos.org Abstract Biomedical literature incorporates millions of figures, which are a rich and important knowledge resource for biomedical researchers. Scientists need access to the figures and the knowledge they represent in order to validate research findings and to generate new … Related articles All 13 versions

Weighted Archetypal Analysis used for Text Summarization MVS Shakhapure, AR Kulkarni – ijarcce.com Abstract: This paper demonstrate a summarization system that generates a summary for a given documents based on sentence similarity measures using weighted archetypal analysis. Most of the former approaches for multi document summarization give the … Related articles All 2 versions

Bilingual Text Summarization RMB Sayed – 2015 – fayoum.edu.eg With the revolution of the information age and the evolution of the World Wide Web, computer users face a lot of lengthy text. Users need to read all the available documents to determine the most relevant ones. In addition, they may prefer to have a shorter version of …

Analytic-Synthetic Processing Of Information as Smart-Based Environment for Text Summarization B Shannaq, R Adebiaye – researchgate.net ABSTRACT: The context of this paper is concentrated using the Text Summarization Application (TSA), which is an analysis and design software for complex structures, a smart- based environment implemented with C# programming language. In this paper, important … Related articles All 2 versions

A Survey on Various Methodologies of Automatic Text Summarization R Lahkar, AK Barman – International Journal of Engineering Research and …, 2015 – ijert.org Abstract Conversion of text-to-text, to generate summary has been a key research area now a days. Automatic text summarization reduces human effort in generating summary from text document (s) with the help of computer program. Various approaches, methods and …

A Template Based Algorithm For Automatic Summarization And Dialogue Management For Text Documents PG Desai, H Sarojadevi, NN Chiplunkar – esatjournals.net … Database search for finding the answer is done after the question is expanded. Researchers of [18] present a two-phased process for text summarization. … Text summarization is the process of putting together meaningful text present in a document in a condensed format. … Related articles All 2 versions

Auto Text Summarization R Shelke, P Sarode, S Satyan – irjcjournals.org ABSTRACT As the amount of textual Information increases, we come across a need for Automatic Text Summarizers which can provide important textual data from large, well- structured document formats. Automatic summarization is an issue of common concern in … Related articles All 2 versions

Automatic Text Summarization And Deadwood Removal For Punjabi … M Kumar, A Singla – ijesrt.com ABSTRACT Due to large information over the internet it becomes very difficult and laborious task to get the useful information. Automatic text summarization is one of the techniques which give the shorthand information which is half as the original text. This paper … Related articles

Using Distributed Word Representations and mRMR Discriminant Analysis for Multilingual Text Summarization H Oufaida, P Blache, O Nouali – … on Applications of Natural Language to …, 2015 – Springer Abstract Multilingual summarization task aims to develop summarization systems that are fully or partly language free. Extractive techniques are at the center of such systems. They use statistical features to score and extract most relevant sentences to form a summary … Related articles All 2 versions

Multi-document English Text Summarization using Latent Semantic Analysis S Patil, AT Bhole – ijser.org Abstract—In today’s busy schedule, everybody expects to get the information in short but meaningful manner. Huge long documents consume more time to read. For this, we need summarization of document. Work has been done on Single-document but need of … Related articles

Exploiting Rhetorical Relations To Multiple Documents Text Summarization NAH Zahri, F Fukumoto, M Suguru… – International Journal of …, 2015 – search.proquest.com Abstract Many of previous research have proven that the usage of rhetorical relations is capable to enhance many applications such as text summarization, question answering and natural language generation. This work proposes an approach that expands the benefit of … Related articles All 2 versions

Tutorial on Abstractive Text Summarization A Siddharthan – nlgsummer.github.io Error correction for Multilingual Summarization Extractive approaches are limited in how they can address noisy input (output of machine transation) Replace sentences with similar ones from extraneous English Documents (Evans et al., 2004) Improves Readability Exact … Related articles

Automatic text summarization with context based keyword extraction B Lanjewar – International Journal, 2015 – ijarcsms.com Abstract: Text summarization is an important area in Natural Language Processing (NLP). It uses techniques such as keyword extraction to identify meaningful keywords from the documents. Keyword and feature extraction is a fundamental problem in text data mining … Related articles

New graph-based text summarization method Q Fatima, M Cenek – … ), 2015 IEEE Pacific Rim Conference on, 2015 – ieeexplore.ieee.org Wide Web as well as on databases off line created a critical need for efficient text summarizers that significantly reduce its size while maintaining its integrity. In this paper, we present a new multigraph-based text summarizer method. This method is unique in that it … Cited by 1 Related articles All 2 versions

Steds: Social Media Based Transportation Event Detection with Text Summarization K Fu, CT Lu, R Nune, JX Tao – 2015 IEEE 18th International …, 2015 – ieeexplore.ieee.org Abstract—Ubiquitous user-input contents on social media and online services have generated a tremendous amount of information. Such information has great potential applications in various areas such as events detection and text summarization. In this … Related articles All 3 versions

Document Features-Enabled Text Summarization System for Information Retrieval P Yadav – ijcsonline.com Abstract Information retrieval has become a challenging problem due to the explosion of information availability. Retrieving of suitable documents for the user’s query has become big problem in document retrieval tasks. This paper presents a method called, document … Related articles

A survey of text summarization techniques for sentence extraction R Ahmadi – ACADEMIE ROYALE DES SCIENCES D OUTRE-MER …, 2015 – ardsj.com Abstract: With the increasing growth of the availability of information, information retrieval techniques have come to be of great importance; meantime, automatic summarizing of the texts along with helping user with understanding the highlighted points of the text in … Related articles

Design and Development of an Automatic Text Summarization Using Pragmatic-Enabled Features with LMS based Neural network CS Kameswari, JA Chandulal – 2015 – irjet.net ABSTRACT The main intend of the text summarization is to generate a condensed version of one or more texts using computer techniques. This will help reader to decide if a document contains needed information with minimum effort and time loss. In past decades, a number … Related articles All 2 versions

Extraction of Significant lexical Associations to Classify the Essential Perspectives for Text Summarization N Asadi, K Badie, MT Mahmoudi… – Proceedings of the …, 2015 – search.proquest.com Abstract In this paper, a text summarization algorithm is proposed based on classifying the essential perspectives in texts. The algorithm is concerned with extracting significant lexical associations as the features for classification. Experimental results show that these … Related articles All 2 versions

Automatic Text Summarization Excerption System Using Fuzzy Values Based on Title and Number of Useful Sentences P Mehta, K Chheda, A Kukreja – ijiset.com Abstract An experimental approach is proposed to address the problem of improving content selection in automatic text summarization by using combination of frequency allocation and fuzzy values. The pre-processing step consists of stopword elimination and stemming. In … Related articles

Using text mining to support text summarization E Reategui, D Epstein – Anais do Simpósio Brasileiro de Informática na …, 2015 – br-ie.org Resumo Reading and writing texts are foundational abilities required for daily activities, human interaction and almost all school disciplines. However, it is not uncommon to find students with reading and writing difficulties. Those difficulties interfere on their learning … Related articles All 2 versions

Data-Driven Unsupervised Evaluation of Automatic Text Summarization Systems E Yagunova, O Makarova, E Pronoza – Mexican International Conference …, 2015 – Springer Abstract Automatic text summarization is a text compression problem with many applications in natural language processing. In this paper we focus the problem of the evaluation of text summarization system. We propose an unsupervised approach based on keywords: it … Related articles

Text Summarization Based on Genetic Fuzzy Techniques S CHINTALURI, RP REDDY, K Nara – 2015 – ijsetr.com Abstract: The tremendous information available on the internet makes it difficult to understand the important information. In order to understand the significance of this huge amount of data, a summarization technique is needed. This paper focuses on a … Related articles All 2 versions

Keyphrase based Evaluation of Automatic Text Summarization F Elghannam, T El-Shishtawy – arXiv preprint arXiv:1505.06228, 2015 – arxiv.org Abstract: The development of methods to deal with the informative contents of the text units in the matching process is a major challenge in automatic summary evaluation systems that use fixed n-gram matching. The limitation causes inaccurate matching between units in a … Related articles All 8 versions

Multilingual Text Summarization PB Bhatia – 2015 – dspace.thapar.edu The volume of information has been increased almost in all fields like education, medical and science etc. This high volume is due to social networking and other activities. The management of data becomes a huge problem. It consumes a lot of time and effort to read … Related articles

Text Summarization using Neural Networks and Rhetorical Structure Theory MK AR – ijarcce.com Abstract: A new technique for summarization is presented here for summarizing articles known as text summarization using neural network and rhetorical structure theory. A neural network is trained to learn the relevant characteristics of sentences by using back … Related articles All 2 versions

Annotated suffix tree similarity measure for text summarization M Yakovlev, E Chernyak – ceur-ws.org Abstract. The paper describes an attempt to improve the TextRank algorithm. TextRank is an algorithm for unsupervised text summarisation. It has two main stages: first stage is representing a text as a weighted directed graph, where nodes stand for single sentences, … Related articles All 2 versions

Genetic Clustering Algorithm for Extractive Text Summarization SS Benjumea, E León – Computational Intelligence, 2015 IEEE …, 2015 – ieeexplore.ieee.org Abstract—Automatic text summarization has be-come a relevant topic due to the information overload. This automatization aims to help humans and machines to deal with the vast amount of text data (structured and un-structured) offered on the web and deep web. In … Related articles

Text Summarization Using Ant Colony Optimization Algorithm OF HASSAN – 2015 – repository.sustech.edu Automatic text summarization plays increasingly an important role with the exponential growth of documents on the Web. Numerous approaches have been proposed to identify important contents for automatic text summarization. Sentence scoring approaches mark … Related articles

Optimal Features Set for Extractive Automatic Text Summarization YK Meena, P Dewaliya… – 2015 Fifth International …, 2015 – ieeexplore.ieee.org Abstract-The goal of text summarization is to reduce the size of the text while preserving its important information and overall meaning. With the availability of internet, data is growing leaps and bounds and it is practically impossible summarizing all this data manually. … Cited by 1 Related articles All 3 versions

Text Summarization and Speech Synthesis for the Automated Generation of Personalized Audio Presentations S Lawless, P Lavin, M Bayomi, JP Cabral… – … on Applications of …, 2015 – Springer Abstract In today’s fast-paced world, users face the challenge of having to consume a lot of content in a short time. This situation is exacerbated by the fact that content is scattered in a range of different languages and locations. This research addresses these challenges … Cited by 1 Related articles All 3 versions

A survey on existing extractive techniques for query-based text summarization N Rahman, B Borah – Advanced Computing and …, 2015 – ieeexplore.ieee.org Abstract-Condensation of document information from the text according to the query is primarily a concerned matter due to the rapid growth of information. In fact, there is not usually enough time to scan through the contents and understand each document and … Related articles All 2 versions

Abstractive Methods for Text Summarization A Siddharthan – homepages.abdn.ac.uk Error correction for Multilingual Summarization Extractive approaches are limited in how they can address noisy input (output of machine transation) Replace sentences with similar ones from extraneous English Documents (Evans et al., 2004) Improves Readability Exact … Related articles All 2 versions

Arabic Text Summarization Using Latent Semantic Analysis FM Ba-Alwi, GH Gaphari, FN Al-Duqaimi – search.proquest.com Abstract The main objective of this paper is to address Arabic text summarization using latent semantic analysis technique. LSA is a vectorial semantic form of analyzing relationships between a set of sentences. It is concerned with the word description as well … Related articles All 3 versions

Text Summarization Using Particle Swarm Optimization Algorithm ABDEY MAHJOUB – 2015 – repository.sustech.edu Automatic text summarization is the process of creating a small version from the original text. Extraction approach is one of way of extracting the most important sentences in document, this approach is used to select sentences after calculating the score for each sentence, … Related articles

Extractive Summarization Method for Arabic Text-ESMAT MS Binwahlan – ijcttjournal.org … This reason gave the author of this paper, strong motivation to participate in a pushing Arabic language into the concern domain of automatic text summarization researchers by proposing an extractive summarization method. … Related articles All 2 versions

Word concept extraction using HOSVD for automatic text summarization A Biyabangard, MS Abadeh – AI & Robotics (IRANOPEN), 2015, 2015 – ieeexplore.ieee.org Abstract—Computers understand little about the meaning of human language. Vector space models of semantics are beginning to overcome these limits. In this regard, one of the modern issues is using high dimensional data, which is formulated as tensors. Also, due … Related articles

A Genetic Based Optimization Model for Extractive Multi-Document Text Summarization HH Saleh, NJ Kadhim, AA Bara’a – researchgate.net Abstract Extractive multi-document text summarization–a summarization with the aim of removing redundant information in a document collection while preserving its salient sentences–has recently enjoyed a large interest in proposing automatic models. This … Related articles All 2 versions

Multi-document Arabic Text Summarization KSAL Harazin – 2015 – library.iugaza.edu.ps ABSTRACT With the rapid growth of data on the internet, there is an essential need for automatic summarization systems. A lot of automatic text summarization researches have been done for English and other languages. Recently, there has been growing interest in … Related articles

Computing Lexical Chains for Automatic Arabic Text Summarization H Zidoum, A Al-maamari, N Al-Amri, A Al-Yahyai… – iieng.org Abstract—Automatic Text Summarization has received a great deal of attention in the past couple of decades. It has gained a lot of interest especially with the proliferation of the Internet and the new technologies. Arabic as a language still lacks research in the field of … Related articles

A Study on the Use of Word Embeddings and PageRank for Vietnamese Text Summarization V Phung, L De Vine – Proceedings of the 20th Australasian Document …, 2015 – dl.acm.org Abstract Automatic text summarization is the process of automatically reducing the length of documents without losing the primary ideas. Due to the flood of digital text-based information, there is a great demand for summarization systems. In this paper, we … Cited by 2 Related articles

Multi-document Text Summarization Using Random Indexing and Clustering A Rawata, PK Sahoob, N Chatterjeea – ambrishrawat.com Abstract Extractive text summarization for a set of documents suffers from two serious problems, viz. repetition of information in several documents, complementary information existing on the same theme across different documents. As a consequence, algorithms … Related articles

Study On Text Summarization Using Extractive Methods SM Saleem, R Krithiga, SK Rani, SC Sindhya – ijsetr.org Abstract-Text summarization is a challenging problem nowadays, due to large amount of information is developed and became more widespread. Text summarization is an inventing source text into a shorter version to preserve the information contents and overall meaning … Related articles

Application Of Rhetorical Relations Between Sentences To Cluster-Based Text Summarization NAH Zahri, F Fukumoto, M Suguru, OB Lynn – Citeseer ABSTRACT Many of previous research have proven that the usage of rhetorical relations is capable to enhance many applications such as text summarization, question answering and natural language generation. This work proposes an approach that expands the benefit of … Related articles All 5 versions

The Effect of Text Summarization as a Cognitive Strategy on the Achievement of Male and Female Language Learners’ Reading Comprehension I Khoshnevis, S Parvinnejad – International Journal of Learning and …, 2015 – macrothink.org Abstract This study aims at investigating the effect of teaching the summarization of text as a cognitive strategy on achievement of male and female students’ reading comprehension. 60 English undergraduates studying at the University of Tonekabon participated in this study. … Related articles All 2 versions

Indonesian Text Summarization based on Naïve Bayes Method A Najibullah – Proceeding Of The International …, 2015 – publikasiilmiah.unwahas.ac.id Abstract In this paper we present a system for generating summary by sentence extraction. To determine the weight of sentence, we use text features, such as sentence position, sentence relative length, average term frequency, keyword extraction, key phrase … Related articles All 4 versions

PSO-Based Feature Selection for Arabic Text Summarization AM Al-Zahrani, H Mathkour, H Abdalla – Journal of Universal Computer …, 2015 – jucs.org Abstract: Feature-based approaches play an important role and are widely applied in extractive summarization. In this paper, we use particle swarm optimization (PSO) to evaluate the effectiveness of different state-of-the-art features used to summarize Arabic … Related articles All 5 versions

Automatic Text Summarization S AJMERA – 2015 – faculty.iitmandi.ac.in Abstract With the increasing amount of information, it has become difficult to take out concise information. Thus it is necessary to build a system that could present human quality summaries. Automatic text summarization is a tool that provides summaries of a given …

Arabic text summarization based on graph theory N Alami, M Meknassi, SA Ouatik… – 2015 IEEE/ACS 12th …, 2015 – ieeexplore.ieee.org Abstract-Automatic text summarization is a process of reducing the length of original document without affecting the content by extracting important information from huge amount of text data. The main goal is to facilitate the task of reading and searching information in …

Ontology-Based Automatic Text Summarization Using FarsNet M Ramezani, MR Feizi-Derakhshi – Advances in Computer Science: an …, 2015 – acsij.org Abstract To summarize a text means to compress the text source into a shorter text in a way that the informational content is kept the same. With regard to the irregular volume of information available on the internet, manual summarization of huge volume of …

A Survey On Short Text Summarization Of Comment Streams On Social Network Sites MPS Choudhari, SS Nandgaonkar – ijarcet.org Abstract—Now-a-Days, the popularity of social networking services has increased tremendously, so the quantity of comments can increase at a high rate immediately after a social message is published. Thus the system focuses on the problem of short text … Related articles

Functional Summarization of Non-Text Data SJ Simske, M Vans, M Sturgill – NIP & Digital Fabrication …, 2015 – ingentaconnect.com … Conclusions Existing text summarization engines can be used to summarize non-text (image/video, binary, genetic and other life science) data. These summaries can then be used effectively to classify the data, 378 © 2015 Society for Imaging Science and Technology Page … Related articles

Text Semantics Based Automatic Summarization for Chinese Videos X Wang, T Zha, C Wu, J Fang… – Chinese Journal of …, 2015 – ejournal.org.cn … II. Related Works Similar to text summarization, video summarization is abstraction of given video or a category of videos. To date, video summarization is mainly achieved by using key frames extracted from original video sequences. Generally speaking, … Related articles All 4 versions

Using Summarization As A Technique To Teach Reading Narrative Text To The Tenth Graders Of SMA Negeri 1 Krembung R WIDYAWATI – Jurnal Mahasiswa Teknologi Pendidikan, 2015 – ejournal.unesa.ac.id Abstrak Dalam tesis ini, membaca dipilih sebagai subjek yang ingin dipelajari karena merupakan salah satu alat dasar dalam pembelajaran bahasa. Keterampilan membaca dalam mengajar bahasa Inggris untuk SMA memiliki peran besar dalam mendukung keterampilan lain dalam … All 2 versions