Automatic Summarization 2014

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Automatic Summarization | Automatic Summarization 2011 | Automatic Summarization 2012 | Automatic Summarization 2013

Automatic summarization of bug reports S Rastkar, GC Murphy, G Murray – Software Engineering, IEEE …, 2014 – Abstract—Software developers access bug reports in a project’s bug repository to help with a number of different tasks, including understanding how previous changes have been made and understanding multiple aspects of particular defects. A developer’s interaction … Cited by 3 Related articles All 4 versions

Preferences in Wikipedia abstracts: Empirical findings and implications for automatic entity summarization D Xu, G Cheng, Y Qu – Information Processing & Management, 2014 – Elsevier Abstract The volume of entity-centric structured data grows rapidly on the Web. The description of an entity, composed of property-value pairs (aka features), has become very large in many applications. To avoid information overload, efforts have been made to … Cited by 4 Related articles All 4 versions

An approach to automatic text summarization using WordNet AR Pal, D Saha – Advance Computing Conference (IACC), …, 2014 – Abstract—Text Summarization is the procedure by which the significant portions of a text are retrieved. Most of the approaches perform the summarization based on some hand tagged rules, such as format of the writing of a sentence, position of a sentence in the text, … Cited by 3 Related articles

A multi-document summarization system based on statistics and linguistic treatment R Ferreira, L de Souza Cabral, F Freitas… – Expert Systems with …, 2014 – Elsevier Abstract The massive quantity of data available today in the Internet has reached such a huge volume that it has become humanly unfeasible to efficiently sieve useful information from it. One solution to this problem is offered by using text summarization techniques. … Cited by 4 Related articles All 3 versions

Automatic documentation generation via source code summarization of method context PW McBurney, C McMillan – … of the 22nd International Conference on …, 2014 – Abstract A documentation generator is a programming tool that creates documentation for software by analyzing the statements and comments in the software’s source code. While many of these tools are manual, in that they require specially-formatted metadata written … Cited by 3 Related articles All 4 versions

An Automatic Text Summarization Using Lexical Cohesion And Correlation Of Sentences AR Kulkarni, SS Apte – IJRET: International Journal of Research in … – Abstract Due to substantial increase in the amount of information on the Internet, it has become extremely difficult to search for relevant documents needed by the users. To solve this problem, Text summarization is used which produces the summary of documents such … Cited by 1 Related articles

A Survey of Automatic Video Summarization Techniques SP Rajendra, N Keshaveni – … and Computational System, 2014 – ABSTRACT Over the past few years, there has been a massive increase in amount of video content created. Massive growth in video content poses problem of information overload and management of content. In order to manage the growing videos on the web and also to … Cited by 1 Related articles

VideoZoom: An Interactive System for Video Summarization, Browsing and Retrieval K Juengling, S Blunsden, C Versino – Advances in Visual Computing, 2014 – Springer Abstract The amount of video surveillance cameras and with that the amount of recorded data is enormous. Thus, efficient methods for using and analyzing this data have to be found. In this paper, we propose VideoZoom, an interactive system for summarization, … Cited by 1 Related articles

A Bayesian Method to Incorporate Background Knowledge during Automatic Text Summarization A Louis – Proceedings of ACL: Short Papers, 2014 – Abstract In order to summarize a document, it is often useful to have a background set of documents from the domain to serve as a reference for determining new and important information in the input document. We present a model based on Bayesian surprise which … Cited by 1 Related articles All 7 versions

A Type-2 Fuzzy Logic based system for linguistic summarization of video monitoring in indoor intelligent environments B Yao, H Hagras, D Alghazzawi… – Fuzzy Systems (FUZZ- …, 2014 – Abstract—Video monitoring can provide vital context awareness information from indoor intelligent environments where privacy is not a limitation. However, there is a need to develop linguistic summarization tools which are capable of summarizing in a layman … Cited by 1 Related articles

DiffNet: Automatic differential functional summarization of dE-MAP networks BS Seah, SS Bhowmick, CF Dewey – Methods, 2014 – Elsevier Abstract The study of genetic interaction networks that respond to changing conditions is an emerging research problem. Recently, Bandyopadhyay et al.(2010) proposed a technique to construct a differential network (dE-MAPnetwork) from two static gene interaction networks … Cited by 1 Related articles All 3 versions

Automatic Summarization Based on Mutual Information H Huo, XH Liu – Applied Mechanics and Materials, 2014 – Trans Tech Publ Many existing automatic summarization methods often process a text based on the paragraphs. These methods ignore the correlation degree among paragraphs, which lead to the inaccuracy of the extracted summary. To solve the problem, we present a method … All 2 versions

Automatic text summarization T Kumar – 2014 – Automatic summarization is the procedure of decreasing the content of a document with a machine (computer) program so as to make a summary that holds the most critical sentences of the text file (document). Extracting summary from the document is a difficult … Related articles All 2 versions

TextSum: An Automatic Text Summarization Tool using Bayesian Classification G Rohini, PKS Rao, C Avinash – Recent Trends in …, 2014 – Abstract Automatic text summarization is the process of summarizing text from one or more documents in order to help the reader to determine if [s] he has to read the document (s) in full. Although automatic summarization is around for many years, there is a renewed … Related articles

On choosing an effective automatic evaluation metric for microblog summarisation S Mackie, R McCreadie, C Macdonald… – Proceedings of the 5th …, 2014 – Abstract Popular microblogging services, such as Twitter, are engaging millions of users who constantly post and share information about news and current events each day, resulting in millions of messages discussing what is happening in the world. To help users … Related articles All 7 versions

Automatic Summarization of Text Documents Written in Hindi Language D Kaur, R Kaur – 2014 – Abstract—A summary of a document is a 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 document or from multiple … Related articles All 2 versions

Automatic summarization of risk factors preceding disease progression an insight-driven healthcare service case study on using medical records of diabetic patients PYS Hsueh, XX Zhu, MJH Hsiao, SYF Lee, V Deng… – World Wide Web, 2014 – Springer Abstract In this study we consider the problem of how to derive insight from medical records to define and improve healthcare services. As noted in many guidelines, risk factors are important to determining the care plan of chronic disease patients, eg, pre-diabetic or … Related articles

Efficient video viewing system for racquet sports with automatic summarization focusing on rally scenes S Kawamura, T Fukusato, T Hirai… – ACM SIGGRAPH 2014 …, 2014 – This paper presents a system for viewing important rallies efficiently in racquet sports videos. There are several long matches in a tournament; thus, watching racquet sports can be timeconsuming. Liu et al.[2009] proposed a racquet sports video summarization system …

Importance of Surface Methods in Human and Automatic Text Summarization NM Preradovi?, D Boras, M Vlaini? – Abstract—Both human and automatic summaries enable a concise display of the most important information from the original text. Summaries written by the author of the document, expert in the field, professional summarizer or generated by the automatic … Related articles

Comparing different knowledge sources for the automatic summarization of biomedical literature L Plaza – Journal of biomedical informatics, 2014 – Elsevier Objective: Automatic summarization of biomedical literature usually relies on domain knowledge from external sources to build rich semantic representations of the documents to be summarized. In this paper, we investigate the impact of the knowledge source used on … Related articles All 4 versions

Automatic summarizer for mobile devices using sentence ranking measure R Yazhini – Recent Trends in Information Technology (ICRTIT …, 2014 – Abstract—The modern digital world is immersed in tons of information in the form of electronic documents. To overcome the consequences of system failure, the fault tolerance system uses redundant information too. While surfing in the mobile devices, since they … Related articles

Automatic Summarization for Terminology Recommendation: the case of the NCBO Ontology Recommender P López-García, S Schulz, R Kern – Abstract. The National Center for Biomedical Ontology (NCBO) ontology recommender helps users choose a biomedical terminology by analyzing a submitted document. Submitting a single document might not be representative and result in poor … Related articles

OutbreakSum: Automatic Summarization of Texts Relating to Disease Outbreaks R Gruss, D Morgado, N Craun, C Shea-Blymyer – 2014 – The goal of the fall 2014 Disease Outbreak Project (OutbreakSum) was to develop software for automatically analyzing and summarizing large collections of texts pertaining to disease outbreaks. Although our code was tested on collections about specific diseases–a small …

Distributional Semantics For Robust Automatic Summarization JCK Cheung – 2014 – … The thesis of this dissertation is that distributional semantics can support the semantic infer- ence that is required for robust automatic summarization. By robust summarization, I mean first of all that the summarization system should be wide-coverage and easy to adapt to a new …

Folksonomy-Based Improvement of Extraction-Based Automatic Summarization Y OKANO, A ZHYGMANOVSKYI, N MATSUMOTO… – Abstract: In this paper, we propose improvement of extraction-based summary using folksonomy. Conventional automatic summarization systems evaluate importance of sentences from term frequency, the title, sentence positions, and sentence length. Our … Related articles

Automatic Summarization of Text-Based Documents on Corpus for Generating an Effective Summary MK Shanmugapriya, MM Saratha – Abstract – Mostly the traditional methods used the similarity between sentences in the document to extract most significant sentence. Indexing weights of the document terms are utilized to compute the sentence similarity value which remains insensitive on context. To avoid this problem, … Related articles All 2 versions

Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning C Rioux, SA Hasan, Y Chali – Abstract This paper explores alternate algorithms, reward functions and feature sets for performing multi-document summarization using reinforcement learning with a high focus on reproducibility. We show that ROUGE results can be improved using a unigram and … Related articles All 5 versions

Automatic Summarization of Soccer Highlights Using Audio-visual Descriptors A Raventos, R Quijada, L Torres, F Tarres – arXiv preprint arXiv:1411.6496, 2014 – Abstract: Automatic summarization generation of sports video content has been object of great interest for many years. Although semantic descriptions techniques have been proposed, many of the approaches still rely on low-level video descriptors that render … Related articles All 2 versions

Unsupervised Sentence Enhancement for Automatic Summarization JCK Cheung, G Penn – Abstract We present sentence enhancement as a novel technique for text-to-text generation in abstractive summarization. Compared to extraction or previous approaches to sentence fusion, sentence enhancement increases the range of possible summary sentences by … Cited by 1 Related articles All 4 versions

Automatic Summarization LH Belguith, M Ellouze, MH Maaloul, M Jaoua… – … Language Processing of …, 2014 – Springer Abstract This chapter addresses automatic summarization of Semitic languages. After a presentation of the theoretical background and current challenges of automatic summarization, we present different approaches suggested to cope with these challenges. … Related articles All 3 versions

Automatic Summarization of Activities Depicted in Instructional Videos by Use of Speech Analysis J Rafferty, CD Nugent, J Liu, L Chen – Ambient Assisted Living and Daily …, 2014 – Springer Abstract Existing activity recognition based assistive living solutions have adopted a relatively rigid approach to modelling activities. To address the deficiencies of such approaches, a goal-oriented solution has been proposed that will offer a method of flexibly … Related articles All 3 versions

[BOOK] Automatic Text Summarization: Some Important Concepts JM Torres-Moreno – 2014 – Wiley Online Library Summary This chapter provides an overview of automatic text summarization: preprocessing, types of summary, their uses and generation algorithms. It also provides an introduction to the problems related to the evaluation of summaries. Automatic text … All 3 versions

A Hybrid Method for Automatic Text Summarization using Fuzzy Inference M Javanmard, H Samardar – Abstract Due to the daily growth of information and electronically documents, and converting these documents to the main medium for the transmission of information, large amount of data are produced every day. Considering the massive amount of data, it is almost … Related articles

Automatic Medical Text Summarisation to Support Evidence-based Medicine A SARKER – Abstract Clinical guidelines urge medical practitioners to perform Evidence-based Medicine: a practice that requires practitioners to incorporate the best available evidence from published research, when making clinical decisions. Due to the abundance of published … Related articles

Automatic Persian text summarizer using simulated annealing and genetic algorithm E Mahdipour, M Bagheri – Abstract: Automatic text summarization is a process to reduce the volume of text documents using computer programs to create a text summary with keeping the key terms of the documents. Due to cumulative growth of information and data, automatic text … Related articles All 2 versions

The Summarization of Fault Line Selection of Small Current Grounding System ZX Zhang, ZL Wang, K Li – Applied Mechanics and Materials, 2014 – Trans Tech Publ With the development of power technology and the improvement of reliability of power supply of power user requirement, small current grounding system become the main grounding mode of distribution network. Small current grounding power system fault line selection is …

Appendix 2: Automatic Text Summarization Resources JM Torres-Moreno – Automatic Text Summarization – Wiley Online Library … Appendix 2: Automatic Text Summarization Resources. Juan-Manuel Torres-Moreno. Published Online: 24 SEP 2014. DOI: 10.1002/9781119004752.app2. Copyright © 2014 John Wiley & Sons, Inc. Book Title. Automatic Text Summarization. Additional Information. How to Cite. …

Automatic abstractive summarization of meeting conversations T Oya – 2014 – Nowadays, there are various ways for people to share and exchange information. Phone calls, E-mails, and social networking applications are tools which have made it much easier for us to communicate. Despite the existence of these convenient methods for exchanging … Related articles All 3 versions

Automatic text summarization with statistical and linguistic features using successive thresholds E PadmaLahari, DVN Kumar… – … Control and Computing …, 2014 – Abstract–Text summarization is an emerging technique for finding out the summary of the text document. Text summarization is nothing but summarizing the content of given text document. Text summarization has got so uses such as Due to the massive amount of …

Comparison of clustering technique used in automatic Document summarization KP Bhagat, MD Ingle – Abstract:-In today’s world Users deals with the different data over the web, multi document summarization is the process for summarizing the data from the different files without losing their semantic content as per user query. Various techniques has been discovered to … Related articles

An Algebraic Approach for Sentence Based Feature Extraction Applied for Automatic Text Summarization NK Batcha, NA Aziz – Advanced Science Letters, 2014 – In the existing approaches of Automatic Text Summarization (ATS) which uses the algebraic reduction method Non-negative Matrix Factorization (NMF), the approximation process is more concerned towards convergence and feature selection from the original text into W … Related articles

Document Summarization Retrieval System Based on Web User Needs K Poojitha, M Revathi, MJS Kumar – Abstract Existing models for document summarization mostly use the similarity between sentences in the document to extract the most salient sentences. The documents as well as the sentences are indexed using traditional term indexing measures, which do not take … Related articles

Automatic Twitter Topic Summarization D Wen, G Marshall – … and Engineering (CSE), 2014 IEEE 17th …, 2014 – Abstract—This paper aims to generate digests of tweets from live trending and ongoing topics. The primary purpose is to group the tweets by importance or usefulness so that an end user can be presented with a reasonable extract of the most important content from …

Automated summarization assessment system: quality assessment without a reference summary A Abdi, N Idris – 2014 – Abstract—this paper presents an algorithm that can be used to assess the quality of the summaries without a gold standard. This algorithm is based on linguistic knowledge. An innovative aspect of our algorithm lies in its ability to improve the performance of existing … Related articles All 4 versions

Research about Automatic Text Summarization Based on Discourse Structure of Chinese MN Zhang, W Fu – Advanced Materials Research, 2014 – Trans Tech Publ A new automatic text summarization based on discourse structure of Chinese is proposed and build a summarization system. System has 3 steps: first, generates contributing the text physical structure tree; after that, it analyses the content of original texts by fusing the … All 2 versions

Automatic text summarizer AP Patil, S Dalmia, SAA Ansari, T Aul… – Advances in …, 2014 – Abstract—In today’s fast-growing information age we have an abundance of text, especially on the web. New information is constantly being generated. Often due to time constraints we are not able to consume all the data available. It is therefore essential to be able to … Related articles

A Survey on Automatic Text Summarization CS Saranyamol, L Sindhu – Abstract-With the proliferation of online information, text summarization has become essential to provide enhanced mechanisms to perceive and present effective textual information. It is very difficult for human beings to manually summarize large documents of … Related articles

Automatic keyframe summarization of user-generated video EC Eckstrand – 2014 – DTIC Document Abstract: The explosive growth of user-generated video presents opportunities and challenges. The videos may possess valuable information that was once unavailable. On the other hand, the information may be buried or difficult to access with traditional methods … Related articles All 2 versions

Visual surveillance briefing system: Event-based video retrieval and summarization S Yun, K Yun, SW Kim, Y Yoo… – Advanced Video and …, 2014 – Abstract This paper presents a visual surveillance briefing (VSB) system which provides event-based retrieval and briefing functions. Traditional event-based video retrieval systems usually aim to analyze the appearance of objects rather than the motion information (eg … Related articles

Automatic labelling of topic models learned from Twitter by summarisation AE Cano Basave, Y He, R Xu – 2014 – Latent topics derived by topic models such as Latent Dirichlet Allocation (LDA) are the result of hidden thematic structures which provide further insights into the data. The automatic labelling of such topics derived from social media poses however new challenges since … Related articles All 2 versions

Automatic Movie Summarization Based on the Visual-Audio Features C Li, Y Xie, X Luan, K Zhang… – … Science and Engineering ( …, 2014 – Abstract—Automatic movie summarization based on the visual-audio features is introduced. The importance evaluation model for video clips chooses face detection and atwitter shot detection as the basis. Against the difficult of movie’s speech endpoint detection, speech …

Audio-visual summarization system for rt plan evaluation E Patentscope – 2014 – ABSTRACT A method for reviewing a treatment plan (24) for delivering radiation therapy to a patient. The treatment plan (24) includes geometric analysis data, dose distribution analysis data, dose volume histogram data, parametric analysis data or deliverability analysis data …

Personalized blog ranking and Summarization system to aid E learning S Swamynathan – 2014 – newlineWeb mining makes use of data mining technique to automatically newlinediscover and extract the pattern of meaningful information from web newlinedocuments Most of the current web documents are the contents of social newlinenetworking sites that are highly … Related articles All 4 versions

Information Retrieval System Using Vector Space Model for Document Summarization VA Chavan, SR Durugkar – 2014 – Abstract—Document summarization is the process of reducing size of text document and that retains the most important content of the original document into the reduced document (Summary). In recent year there are huge work has been done in document … Related articles

A Novel Features Based Automated Gurmukhi Text Summarization System G Singh – 2014 – Abstract: Today it is very di?cult, laborious and time consuming task to extract information manually from large amount of data available. A need of Automatic Text Summarization Tool is growing which will create complete and understandable summarized text of input text … Related articles

Designing and Implementing a Real-Time Speech Summarizer System DY Cheng, CH Chen, YR Wu, CC Lo… – … , Consumer and Control …, 2014 – Abstract—As the number of speech and video documents increases on the Internet and portable devices proliferate, speech summarization becomes increasingly essential. Relevant research in this domain has typically focused on broadcasts and news; however, … Related articles All 2 versions

Automatic multi-document summarization for Indonesian documents using hybrid abstractive-extractive summarization technique G Yapinus, A Erwin, M Galinium… – … (ICITEE), 2014 6th …, 2014 – Abstract—This paper discusses the development of multi-document summarization for Indonesian documents by using hybrid abstractive-extractive summarization approach. Multidocument summarization is a technology that able to summarize multiple documents … Related articles

Provide a method for automatic text summarization based on Ontology-Medicine and Support Vector machine A Mohagheghi, EK Khah, SRK Tabakh – Scientia Guaianae, 2014 – Abstract Automatic text summarization attempts to generate a concise version of the original document so that the main point of the original document is preserved. In according to increase amount of medical texts and not having enough time to read all the texts; … All 2 versions

Analysis of Sentence Scoring Methods for Extractive Automatic Text Summarization YK Meena, D Gopalani – … of the 2014 International Conference on …, 2014 – Abstract Automatic text summarization is a major area of research in the domain of information systems. Most of the methods requires domain knowledge in order to produce a coherent and meaningful summary. In Extractive text summarization, sentences are …

Appendix 1: Information Retrieval, NLP and Automatic Text Summarization JM Torres-Moreno – Automatic Text Summarization, 2014 – Wiley Online Library In order to understand the issues and algorithms used in NLP and ATS, readers should have prior knowledge of basic IR techniques. For information about IR please consult works by [VAN 79],[BAE 99] and [MAN 08] 2 and for information about statistical NLP and IE consult All 2 versions

Automatic text summarization based on multi-agent particle swarm optimization H Asgari, B Masoumi… – Intelligent Systems (ICIS), …, 2014 – Abstract—Text summarization is the objective extraction of some parts of the text, such as sentence and paragraph, as the document abstract. If there are documents with a large amount of information, extractive text summarization would be arisen as an NP-complete … Related articles

Automatic Labelling of Topic Models Learned from Twitter by Summarisation AEC Basave, Y He, R Xu – Abstract Latent topics derived by topic models such as Latent Dirichlet Allocation (LDA) are the result of hidden thematic structures which provide further insights into the data. The automatic labelling of such topics derived from social media poses however new … Related articles All 6 versions

Automatic Multiple Document Text Summarization Using Wordnet and Agility Tool D Kumar, N Rajender Nath – Global Journal of Computer …, 2014 – Abstract The number of web pages on the World Wide Web is increasing very rapidly. Consequently, search engines like Google, AltaVista, Bing etc. provides a long list of URLs to the end user. So, it becomes very difficult to review and analyze each web page … All 2 versions

An Automatic Topic Summarization Using Content Anatomy IR Sinduja, SS Kannan – 2014 – Abstract A topic is defined as a seminal event or activity along with all directly related events and activities. It is represented by a chronological sequence of documents published by different authors on the Internet. We define a task called topic anatomy, which summarizes … Related articles

A Context Based Text Summarization System R Ferreira, F Freitas, LS Cabral, RD Lins… – … (DAS), 2014 11th …, 2014 – Abstract—Text summarization is the process of creating a shorter version of one or more text documents. Automatic text summarization has become an important way of finding relevant information in large text libraries or in the Internet. Extractive text summarization … Related articles All 2 versions

Design and Implementation of Event Information Summarization System C Liao, K Kaji, K Hiroi… – Computer Software and …, 2014 –