Abstractive Summarization 2014


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Abstractive Summarization 2013 | Abstractive Summarization 2015Automatic SummarizationExtractive Summarization


Efficient Online Summarization of Microblogging Streams A Olariu – EACL 2014, 2014 – aclweb.org … With the risk of oversimplification, we view extractive summarization as a process of selecting sentences from the documents, while abstractive summarization generates phrases that may not appear in the input data. … Abstractive summarization is difficult on Twit- ter streams. … Cited by 1 Related articles All 4 versions

Report on the CIKM workshop on living labs for information retrieval evaluation K Balog, D Elsweiler, E Kanoulas, L Kelly… – ACM SIGIR Forum, 2014 – dl.acm.org … Abstractive summarization is used to generate option summaries. … Regarding the evaluation of abstractive summarization algorithms, the current algorithms display sentences that sum- marize certain aspects of interest of the entities described in the online reviews. … Cited by 3 Related articles All 4 versions

Syntactic and Sentence Feature Based Hybrid Approach for Text Summarization DY Sakhare, R Kumar – International Journal of Information …, 2014 – mecs-press.org … It has also addressed the problem of anaphora resolution. Cut and Paste [13] is the first domain independent abstractive summarization tool. This was developed using sentence reduction and sentence combination techniques. … Cited by 2 Related articles All 3 versions

Multi-document Summarization by Extended Graph Text Representation and Importance Refinement U Mirchev, M Last – Innovative Document Summarization …, 2014 – books.google.com Page 50. 28 Chapter 2 Multi-Document Summarization by Extended Graph Text Representation and Importance Refinement Uri Mirchev Ben Gurion University of the Negev, Israel Mark Last Ben Gurion University of the Negev … Cited by 2 Related articles All 2 versions

Extractive summarization using continuous vector space models M Kågebäck, O Mogren, N Tahmasebi… – Proceedings of the …, 2014 – nlp3.cs.ntou.edu.tw … abstractive. Ex- tractive summarization systems create summaries using representative sentences chosen from the in- put while abstractive summarization creates new sentences and is generally considered a more dif- ficult problem. … Cited by 2 Related articles All 6 versions

A Hybrid Approach to Multi-document Summarization of Opinions in Reviews G Di Fabbrizio, AJ Stent, R Gaizauskas – INLG 2014, 2014 – aclweb.org … ommendation. Although in theory, it is possible to produce user-targeted extractive summaries, user- specific review summarization has only been ex- plored in the context of abstractive summarization (Carenini et al., 2012). … Cited by 1 Related articles All 6 versions

A Hybrid Approach for Extractive Document Summarization Using Machine Learning and Clustering Technique MS Patil, MS Bewoor, SH Patil – International Journal of Computer Science …, 2014 – ijcsit.com … This type of summarization picks out the most relevant sentences in the document thereby maintaining the low redundancy in summary. Abstractive: Abstractive summarization may compose novel sentences, unseen in the original sources. II. … Cited by 1 Related articles All 3 versions

Summarization using NTC approach based on Keyword Extraction for Discussion Forums N Lalithamani, K Alagammai, KK Sowmya… – International Journal of …, 2014 – ijret.org … Each of them is described below in detail. A summarization can be of two types generally – abstractive or extractive [15]. An abstractive summarization involves Page 2. IJRET: International Journal of Research in Engineering and Technology … Cited by 1 Related articles

SRRank: leveraging semantic roles for extractive multi-document summarization S Yan, X Wan – … Speech, and Language Processing, IEEE/ACM …, 2014 – ieeexplore.ieee.org … Extractive summarization involves assigning saliency scores to text units (eg sentences, paragraphs) in the documents and extracting those with highest scores; while abstractive summarization usually needs infor- mation fusion [7], sentence compression [8] or reformulation [ … Cited by 1 Related articles All 2 versions

Mixture of topic model for multi-document summarization L Na, L Ming-xia, L Ying, T Xiao-jun… – Control and Decision …, 2014 – ieeexplore.ieee.org … International Journal of Computer Theory and Engineering, vol. 1, no. 5, pp. 519-526, 2009. [8] Ganesan, K., C. Zhai and J. Han, Opinosis: A graph-based approach to abstractive summarization of highly redundant opinions. … Cited by 1 Related articles

Hot Topic Sensing, Text Analysis, and Summarization G Bouchard, S Clinchant… – Handbook of Research on …, 2014 – books.google.com … Two of the most important relate to how the summary language is generated, and the type or character of the input. The canonical division in summary language generation is that of extrac- tive vs. abstractive summarization. … Cited by 1 Related articles All 2 versions

A Survey on Methods of Abstractive Text Summarization NR Kasture, N Yargal, NN Singh, N Kulkarni, V Mathur… – ijrest.net … has two techniques viz. Extractive summarization and abstractive summarization. Extractive technique[1] is the one in which we generate a summery by using the relevant sentences in the document as they are, whereas in abstractive summarization … Related articles All 2 versions

A Template-based Abstractive Summarization of Meeting Conversations T Oya, Y Mehdad, G Carenini, R Ng – nwnlp2014.cs.sfu.ca The most common approaches to automatic meeting summarization have been extractive. Since extractive approaches require no natural language generation techniques, they are arguably simpler to apply and have been extensively investigated. However, a user study … Related articles

Automatic abstractive summarization of meeting conversations T Oya – 2014 – elk.library.ubc.ca 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

Abstractive Summarization of Product Reviews Using Discourse Structure S Gerani, Y Mehdad, G Carenini, RT Ng, B Nejat – aclweb.org Abstract We propose a novel abstractive summarization system for product reviews by taking advantage of their discourse structure. First, we apply a discourse parser to each review and obtain a discourse tree representation for every review. We then modify the discourse … Related articles All 4 versions

Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization D Pighin, M Cornolti, E Alfonseca, K Filippova – aclweb.org Abstract Abstractive text summarization of news requires a way of representing events, such as a collection of pattern clusters in which every cluster represents an event (eg, marriage) and every pattern in the cluster is a way of expressing the event (eg, X married Y, X and Y … All 7 versions

Improvement of an abstractive summarization evaluation tool using lexical-semantic relations and weighted syntax tags in Farsi language A Estiri, M Kahani, H Ghaemi… – Intelligent Systems (ICIS), …, 2014 – ieeexplore.ieee.org Abstract—in recent years, high increase in the amount of published web elements and the need to store, classify, restore, and process them have intensified the importance of natural language processing and its related tools such as automatic summarizers and machine … Related articles All 2 versions

Template Based Abstractive Summarization of Twitter Topic with Speech Act GR Shaikh, DM Padulkar – ijesrt.com Abstract Now a days, people are using microblogging services such as Twitter, Facebook, Google+ etc. The content of such site is large number of small textual messages that is posted by millions of users, at random or in response to perceived events or situations. … Related articles All 2 versions

Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries Y Mehdad, G Carenini, RT Ng – ling.uni-potsdam.de Abstract We propose a novel abstractive querybased summarization system for conversations, where queries are defined as phrases reflecting a user information needs. We rank and extract the utterances in a conversation based on the overall content and the … Related articles All 4 versions

Extraction based approach for text summarization using k-means clustering A Agrawal, U Gupta – ijsrp.org … abstraction. Extractive summarization produces summaries by choosing a subset of the sentences in the original document(s). This contrasts with abstractive summarization, where the information in the text is rephrased. Although … Related articles

A Survey on Automatic Text Summarization CS Saranyamol, L Sindhu – ijcsit.com … Text summarization approaches can be broadly divided into two groups: extractive summarization and abstractive summarization. … However, abstractive summarization consists of understanding the source text by using linguistic method to interpret and examine the text. … Related articles

Pre-Processing Phase of Text Summarization Based on Gujarati Language P Patel – 2014 – researchgate.net … Sentences often contain pronounces which lose their referents or actual meaning when extracted out [1]. Abstractive Method • An Abstractive Summarization method consists of understanding the original text and re-telling it in fewer words. … Related articles

An Approach to Single Documnent Text Summarization & Simplification SC Tirpude – iosrjournals.org … Abstractive summarization techniques are broadly classified into two categories: Structure Based approach, & Semantic Based Approach Different methods that use structured based approach are Tree Base Method, Template Based Method, Ontology Based Method, Lead and … Related articles All 3 versions

Survey on Extractive Text Summarization Approaches MS Patil, MS Bewoor, SH Patil – nci2tm.sinhgad.edu … Keywords— abstractive summarization, clustering, extractive summarization, pre-processing, SVM I. INTRODUCTION … Abstractive: Abstractive summarization may compose novel sentences, unseen in the original sources. . II. RELATED WORK … Related articles

Text Summarization Based on Several Natural Language Techniques AK Ahmad – uotechnology.edu.iq … values. The system is tested to find the best threshold value, and it was 60%. Keywords: Keywords Extraction, Morphological Rules, Extractive Summarization, Abstractive Summarization. ????? ?????? ??? ??? ???????? ?????? ????? … ? Related articles All 4 versions

Automatic Summarization of Text Documents Written in Hindi Language D Kaur, R Kaur – 2014 – ijcsmc.com … Language contains history information. This paper also presents detection and removal of Deadwood, Extractive and Abstractive summarization methods designed for Hindi language such document contains history information. … Related articles All 2 versions

Multi-Document Summarizer for Earthquake News Written in Myanmar Language MM Kyaw, NN Myo – iieng.org … Summarization methods can be classified into extractive and abstractive summarization. An extractive summarization method based on statistical and linguistic features of sentences. An abstractive summarization method uses linguistic methods to examine and interpret the text. … Related articles

A Review of Text Summarization FM Kundi, MZ Asghar, SR Zahra, S Ahmad, A Khan – language – brisjast.com … On the basis of output extractive and abstractive summarization systems exists [6,11]. In extractive summarization, the goal is to identify the most important concepts in the input text and then summary is formed by reusing the main words and sentences of the original text [7,11]. … Related articles

A survey on various summarization techniques D Vidyadharan, CR Anju – ijecs.in … It is very difficult for a person to manually summarize large documents of text. TextSummarization methods can be classified into extractive and abstractive summarization. … Text Summarization methods can be classified into extractive and abstractive summarization. … Related articles

A Survey on Text Summarization JJ Jagtap, HH Patel – ijsr.net … While extractive summarization is predominantly concerned with what the summary content ought to be, generally depending exclusively on extraction of sentences, abstractive summarization puts solid emphasis on the structure, expecting to create a syntactic summary, which … Related articles

Building a Dataset for Summarization and Keyword Extraction from Emails V Loza, S Lahiri, R Mihalcea, PH Lai – lrec-conf.org … First, it was noted that private emails are easier to read but are topically more diverse, which makes abstractive summarization and sentence se- lection harder. … topic, or at most a few topics, thereby making content se- lection and abstractive summarization somewhat easier. … Related articles

Text Summarization Using Fuzzy Logic MPD Patil, NJ Kulkarni – Paragraph, 2014 – ijirae.com … Text Summarization methods can be classified into extractive and abstractive summarization. … An Abstractive summarization is an understanding of the main concepts in a document and then expresses those concepts in clear natural language. … Related articles

Automatic multi-document summarization for Indonesian documents using hybrid abstractive-extractive summarization technique G Yapinus, A Erwin, M Galinium… – … (ICITEE), 2014 6th …, 2014 – ieeexplore.ieee.org … if the summary is extracted from documents which discuss the same topic, then it is called multi-document summarization [4]. Text summarization is usually classified into 2 techniques, abstractive and extractive summarization [5]. An abstractive summarization attempts to gain … Related articles

Summarizing Online Forum Discussions–Can Dialog Acts of Individual Messages Help? S Bhatia, P Biyani, P Mitra – sumitbhatia.net … Abstractive summarization, on the other hand, involves generating new sentences by utilizing the information extracted from the doc- ument corpus (Carenini and Cheung, 2008), and often involves advanced natural language process- ing tools such as parsers, lexicons and … Related articles All 5 versions

Survey on Graph and Cluster Based approaches in Multi-document Text Summarization YK Meena, A Jain, D Gopalani – Recent Advances and …, 2014 – ieeexplore.ieee.org … to form a condensed version of original text without modifying the original text, while maintain the readability of the document Identification of important features is the first step in summarization by extraction [2]. On the other hand, Abstractive Summarization converts original text … Related articles

Graph-Based Summarization without Redundancy HT Zheng, SZ Bai – Web Technologies and Applications, 2014 – Springer … On the contrary, abstractive summarization attempts to understand the concepts in source documents and reorganize language to cover the essential information in a concise way. It usually L. Chen et al. (Eds.): APWeb 2014, LNCS 8709, pp. 449–460, 2014. … Related articles All 3 versions

Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees C Li, Y Liu, F Liu, L Zhao, F Weng – anthology.aclweb.org … Compared with state-of- the-art algorithms, our model has simi- lar ROUGE-2 scores but better linguistic quality on TAC data. 1 Introduction Automatic summarization can be broadly divided into two categories: extractive and abstractive summarization. … Related articles All 4 versions

Use of Context Based Indexing For the Generation of Document Summarization Report SR Sonawane, AA Ghodeswar – rspublication.com … Text summary can be broad or query dependent. Text Summarization methods can be categorized into extractive and abstractive summarization [1]. An extractive summarization method make use of selecting significant words, sentences, paragraphs etc. … Related articles

Combining N-Gram and Dependency Word Pair for Multi-document Summarization Y Ma, J Wu – … Science and Engineering (CSE), 2014 IEEE 17th …, 2014 – ieeexplore.ieee.org … Automatic text summarization methods can be categorized into extractive and abstractive summarization. … Abstractive summarization attempts to understand the documents with NLP methods and then express the main information with new sentences automatically. …

Graph Ranking on Maximal Frequent Sequences for Single Extractive Text Summarization Y Ledeneva, RA García-Hernández… – … Linguistics and Intelligent …, 2014 – Springer … An abstractive summary is an arbitrary text that describes the contexts of the source document. Abstractive summarization process consists of “understanding” the original text and “re-telling” it in fewer words. Namely, an abstractive … Related articles All 10 versions

Improving Text Summarization using Fuzzy Logic & Latent Semantic Analysis MSA Babar, SA Thorat – 2014 – ijirae.com … Text Summarization methods can be classified into extractive and abstractive summarization [1]. An extractive summarization method consists of selecting important sentences, paragraphs etc. from the original document and concatenating them into shorter form. … Related articles

Automated summarization assessment system: quality assessment without a reference summary A Abdi, N Idris – 2014 – seekdl.org … The main goal of summary writing operation is to take an information source, extract content from it, and present the most important content to the user in a condensed form[1]. The output of a summary system may be an extractive or abstractive summarization. … Related articles All 4 versions

Multi-document Summarization Based on Cluster VM Khanapure, VR Chirchi – ijareeie.com … Following are the two broad level classifications of text summarization techniques. Extractive summarization and abstractive summarization. … Abstractive summarization involves information fusion, sentence compression and reformulation. … Related articles All 2 versions

Automatic text summarizer AP Patil, S Dalmia, SAA Ansari, T Aul… – Advances in …, 2014 – ieeexplore.ieee.org … Summarization can be extractive or abstractive: extractive summarization aims to extract important and relevant parts of the given content and fuse them coherently. Abstractive summarization aims at paraphrasing the source document, similar to manual summarization. … Related articles

Survey on Multi-Document Summarizer PM Joshi, RR Kadam – ijsr.net … summary. So, Extractive summarization and Abstractive summarization approach is used. Extractive … summary. Abstractive summarization method which generates a summary that is closer to what a human might create. Basically … Related articles

Federated Document Summarization Using Probabilistic Approach for Kannada Language S Ranganatha, SK Vinay, HS Bhargava – International Journal of …, 2014 – ijird.com … For abstractive summarization one needs to understand the original text and re-tell it in fewer words. New concepts and themes that best describe the original document are obtained after examining and interpreting the text using linguistic methods. ISSN 2278 – 0211 (Online) … Related articles

An interpretable method for text summarization based on simplicial non-negative matrix factorization NK Anh, NK Toi, NV Linh – Proceedings of the Fifth Symposium on …, 2014 – dl.acm.org … In abstractive summarization approaches, first the system must understand the texts and then it creates summaries with its own words. The abstractive summariza- tion is similar to the way a person creates a summary with his/her prior knowledge. … Related articles

Multi-Document Summarization Based On Sentence Clustering Improved Using Topic Words I Lukmana, D Swanjaya, A Kurniawardhani… – JUTI: Jurnal Ilmiah …, 2014 – juti.if.its.ac.id … Whereas an abstractive summarization can be described as reading and understanding the text to recognize its content, then arranged in a concise text that employs words not appearing in the original document. An abstractive … Related articles

Multi-Document Summarization Using Distortion-Rate Ratio U Attokurov, U Bayazit – ACL 2014, 2014 – ling.uni-potsdam.de … On the other hand, abstrac- tive systems can modify the existing sentences or even generate new sentences to be included in the summary. Therefore, abstractive summarization is typically more complex than extractive summa- rization. … Related articles All 8 versions

Selection and presentation practices for code example summarization ATT Ying, MP Robillard – Proceedings of the 22nd ACM SIGSOFT …, 2014 – annieying.ca … One main finding was that none of the participants exclusively extracted code verba- tim for the summaries, motivating abstractive summarization. The results provide a grounded basis for the development of code example summarization and presentation technology. … Related articles All 5 versions

Study on Multi-document Summarization Based on Text Segmentation M Wang, X Tang, X Wang – Journal of Computers, 2014 – ojs.academypublisher.com … of a summary within the framework of reinforcement learning and attempts to optimize the given score function with the given feature representation of a summary [8]. Till now, there are two types of summarizations, one of which is the abstractive summarization and the other is … Related articles All 3 versions

Automatic Caption Generation for News Images P Jadhav, S Joag, R Chaure, S Koli – International Journal of Computer …, 2014 – ijcsit.com … In this we use abstractive summarization module which produces more human-like summaries. … The abstractive summarization first identify the key content of documents in the form of constituents,eg, words or phrases, which are then organized into a grammatical sentence. … Related articles All 3 versions

Automatic text summarization T Kumar – 2014 – ethesis.nitrkl.ac.in … It is very difficult for human beings to manually summarize large documents of text. Text Summarization methods can be classified into extractive and abstractive summarization. An extractive summarization method consists of selecting important sentences, paragraphs etc. … Related articles All 2 versions

Porting a Summarizer to the French Language RBJ LEVELING, L GOEURIOT, GJF JONES, L KELLY – atala.org … The two main approaches to text summarization are extractive summarization and abstractive summarization. Extractive summarization consists in selecting parts of the original text that contain the most important information which then form the summary. … Related articles All 5 versions

Improving Text Summarization Using Fuzzy Logic MSA Babar – 2014 – researchgate.net … paragraphs etc. from the original document and concatenating them into shorter form. An abstractive summarization method consists of understanding the original text and re-telling it in fewer words. Paper [1], defines the most important criteria for a summary and different meth- … Related articles All 2 versions

Extractive Text Summarization N Mittal, B Agarwal, H Mantri, RK Goyal, MK Jain – 2014 – inpressco.com … In Proceedings of the ACL Workshop on Text Summarization Branches Out, Barcelona, Spain, pp 74-81 Ganesan K., Zhai CX, Han J.. (2010). Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions. … Related articles

A Survey on Existing Extractive Text Summarization Techniques N Arackal, PM Dhanya – 2014 – csidl.org … Text summarization gives support to other tasks such as text classification [2]. Summarization can be broadly divided into two categories namely extractive summarization and abstractive summarization [2]. In extractive summarization [3], the goal is to identifying most important … Related articles

E-Learning Contents Mining Based Wordcloud Generation Using R Packages R Akshaya – ifet.ac.in … Gong, 2011; Wang, Li, Zhu, & Ding, 2009). In general, document summarization can be divided into extractive summarization and abstractive summarization. Extractive summarization produces summaries by choosing a subset … Related articles

A Language Independent Hybrid Approach for Text Summarization V Gupta – Emerging Trends in Computing and Communication, 2014 – Springer … dependent text features. On the other hand, Abstractive summarization techniques involves natural language understanding based tech- niques for making the summary in same manner as human beings usually make the V. Gupta … Related articles All 3 versions

A Novel Approach to Ranking On Data Manifold With Sink Points AM ME, GR Sumithra – ijircce.com … Update summarization summarizes the complete information contained into a new document given a set of documents. There are two kinds of update summarization approach. First one is abstractive summarization and other summarization technique is extractive approach. … Related articles All 2 versions

Comparing PMI-based to Cluster-based Arabic Single Document Summarization Approaches MN El-Gedawy – ijettjournal.org … Text summarization methods can be classified into extractive and abstractive summarization [3] [4]. An extractive summarization method selects significant sentences from the original document. An abstractive summarization … Related articles All 2 versions

Information Retrieval System Using Vector Space Model for Document Summarization VA Chavan, SR Durugkar – 2014 – ijcseonline.org … Following are the two broad level classifications of text summarization techniques. Extractive summarization and abstractive summarization. … Abstractive summarization involves information fusion, sentence compression and reformulation. … Related articles

A Survey on Sentiment Analysis And Summarization For Prediction V Hole, M Takalikar – ijecs.in … There are two ways of summarization firstly, Extractive Summarization which produce summary from phrases or sentences in source document and secondly, Abstractive Summarization where summary express ideas in source document using different words. … Related articles

Automatic text summarization based on multi-agent particle swarm optimization H Asgari, B Masoumi… – Intelligent Systems (ICIS), …, 2014 – ieeexplore.ieee.org … In terms of how to summarize the text, there are two approaches for text summarization including extractive and abstractive summarization [2]. Based on the number of input documents, there are two other approaches including single document and multi-document … Related articles

Unsupervised Sentence Enhancement for Automatic Summarization JCK Cheung, G Penn – aclweb.org … Gerald Penn University of Toronto 10 King’s College Rd., Room 3302 Toronto, ON, Canada M5S 3G4 gpenn@cs.toronto.edu Abstract We present sentence enhancement as a novel technique for text-to-text genera- tion in abstractive summarization. … Cited by 1 Related articles All 4 versions

A Comprehensive Review on Fuzzy Logic & Latent Semantic Analysis Techniques for Improving the Performance of Text Summarization PM Mane – 2014 – ijarcsms.com … sentences. There are two broad methods of text summarization extractive and abstractive summarization. An extractive … them into shorter form. An abstractive summarization method consists of understanding the original text and re-telling it in fewer words. … Related articles

Ranking on Data Manifold with Sink Points R Kanimozhi, Y Kalpana – ijecs.in … There are mainly two kinds of approaches for update summarization, one is abstractive Summarization in which some deep natural language processing techniques are Leveraged to compress sentences another one is extractive summarization. … Related articles

Extractive Multi Document Summarizer Alogorithim AS Zore, A Deshpande – International Journal of Computer Science & …, 2014 – ijcsit.com … 1.2.2.1 Extractive and Abstractive Text Summarization Text Summarization methods are classified into extractive and abstractive summarization. … An abstractive summarization method depend on understanding the original text and re- telling it in fewer words. … Related articles All 3 versions

Towards content-oriented patent document processing: Intelligent patent analysis and summarization S Brügmann, N Bouayad-Agha, A Burga… – World Patent …, 2014 – Elsevier … The purpose of the alignment is twofold: (i) to facilitate interactive patent analysis by highlighting parts in the description that explain and/or elaborate on a claim or a part of the claim; (ii) to provide features for abstractive summarization (see Section 4 below). … Related articles

Summarizing Newspaper Comments C Llewellyn, C Grover… – Eighth International AAAI …, 2014 – homepages.inf.ed.ac.uk … the group. Abstractive summarization creates a description of the data in the group as a whole analogous to the approach a human would take if they were doing the task. Abstractive summarization is a very complex task. As … All 3 versions

Performance Of Separated Random User Scheduling (Srus) And Jount User Scheduling (Jus) In The Long-Term Evolution- … T SWAIN, PK PATTNAIK, IBN BOUNOUR… – Journal of Theoretical …, 2014 – jatit.org … 59. No. 1 — 2014. Full Text. Title: A REVIEW ON ABSTRACTIVE SUMMARIZATION METHODS. Author: ATIF KHAN, NAOMIE SALIM. … Automatic abstractive summarization provides the required solution but it is a challenging task because it requires deeper analysis of text. … Related articles All 3 versions

Porting a Summarizer to the French Language RBJLL GOEURIOT, GJ LIADH – doras.dcu.ie … The two main approaches to text summarization are extractive summarization and abstractive summarization. Extractive summarization consists of selecting parts of the original text that contain the most important information which then form the summary. … Related articles

Distributional Semantics For Robust Automatic Summarization JCK Cheung – 2014 – cs.mcgill.ca … 29 2.2.4 Abstractive Summarization . . . . . 36 … 104 6 Sentence Enhancement for Automatic Summarization 107 6.1 Sentence Revision for Abstractive Summarization . . . . . 107 6.2 RelatedWork . . . . . …

Review Synthesis for Micro-Review Summarization TS Nguyen, HW Lauw, P Tsaparas – cs.uoi.gr Page 1. Review Synthesis for Micro-Review Summarization Thanh-Son Nguyen School of Information Systems Singapore Management University tsnguyen.2013@phdis. smu.edu.sg Hady W. Lauw School of Information Systems … Related articles

Approaches to Large-Scale User Opinion Summarization for the Web W Darling – Innovative Document Summarization Techniques: …, 2014 – books.google.com Page 185. 163 Chapter 7 Approaches to Large- Scale User Opinion Summarization for the Web William Darling Xerox Research Centre Europe, France ABSTRACT This chapter discusses approaches to applying text summarization … All 2 versions

Multi-Topic Multi-Document Summarizer F El-Ghannam, T El-Shishtawy – arXiv preprint arXiv:1401.0640, 2014 – arxiv.org … Abstractive summarization usually needs information fusion, sentence compression and reformulation. Abstractive summarization is a difficult problem because it requires deeper analysis of source documents and concept-to-text generation. … Cited by 2 Related articles All 5 versions

New formats and interfaces for multi-document news summarization and its evaluation B Berendt, M Last, I Subaši?… – Innovative Document …, 2014 – books.google.com Page 253. 231 Chapter 10 New Formats and Interfaces for Multi-Document News Summarization and its Evaluation Bettina Berendt KU Leuven, Belgium Mark Last Ben-Gurion University of the Negev, Israel Ilija Subaši? KU … Related articles All 3 versions

A Mixed-Initiative Approach for Summarizing Discussions Coupled with Sentimental Analysis N Lalithamani, R Sukumaran, K Alagammai… – Proceedings of the …, 2014 – dl.acm.org … The challenges are that Abstractive summarization possible and the Input is a set of documents, not a query ie algorithm to retrieve the relevant documents and a summarization algorithm is complex because of its iterat nature; it can be made more efficient. … Related articles

An Optimized Manifold Ranking with Sink Points for Information Retrieval BN Kumar, GS Kumar, B Satyanarayana – ijtes.com … There are mainly two kinds of approaches for update summarization; one is abstractive summarization [17], [18], in which some deep natural language processing techniques are leveraged to compress sentences or to reorganize phrases to produce a summary of the text. … Related articles

Generating textual storyline to improve situation awareness in disaster management W Zhou, C Shen, T Li, S Chen, N Xie… – In Proceedings of the …, 2014 – users.cs.fiu.edu … In general, it can be categorized into extractive and abstractive summarization [10]. Extractive summarization [11] selects important sentences from the original documents to form a summary, while abstractive summarization [11] paraphrases the corpus using new sentences. … Cited by 1 Related articles All 5 versions

Extractive Summarization and Dialogue Act Modeling on Email Threads: An Integrated Probabilistic Approach T Oya, G Carenini – 15th Annual Meeting of the Special …, 2014 – anthology.aclweb.org … In general, we are interested in the dialogue acts in summary sentences be- cause they can be later used as input for other natural language processing applications such as automatic abstractive summarization (Murray et al., 2010). … Related articles All 8 versions

Coherent multi-sentence video description with variable level of detail A Senina, M Rohrbach, W Qiu, A Friedrich… – arXiv preprint arXiv: …, 2014 – arxiv.org … used. This indicates that when gener- ating single sentence descriptions of videos, it may not be sufficient to simply extract sentences from the longer de- scriptions, but some degree of abstractive summarization is needed. We … Cited by 2 Related articles All 4 versions

Songrecommend: From summarization to recommendation S Tata, B Di Eugenio – Natural Language Engineering, 2014 – Cambridge Univ Press … (2008) in describing our summarization approach as quasi-abstractive: It goes beyond extractive summarization in that sentences are not necessarily included in the same form in which they were extracted; however, it falls short of fully abstractive summarization in which the … Cited by 2 Related articles All 2 versions

Experimental Design to Improve Topic Analysis Based Summarization JE Miller, KF McCoy – INLG 2014, 2014 – anthology.aclweb.org … 3 Pilot Study Using TAC 2010 Samples Our goal is to investigate and optimize factors that impact multi-document extractive summarization. We hope to subsequently extend our findings and experience to abstractive summarization as well. … Related articles All 6 versions

Semantic Analysis for Improved Multi-document Summarization of Text QL Israel – 2014 – idea.library.drexel.edu … This is the nature of extractive topic-based multi-document summarization. Conversely, abstractive summarization entails fusing bits and pieces of information from various … than having a summary of extracted sentences: helps move towards abstractive summarization. … Related articles All 2 versions

A social analytics platform for smarter commerce solutions M Desmond, HL Guo, FF Heath, S Bao… – IBM Journal of …, 2014 – ieeexplore.ieee.org Page 1. A social analytics platform for smarter commerce solutions M. Desmond HL Guo FF Heath, III S. Bao E. Khabiri S. Krasikov N. Modani S. Nagar M. Ohno H. Srinivasan H. Takeuchi R. Vacul?n SW Zhao T. Hamid When … Related articles

Hierarchical Fuzzy Relational Clustering Algorithm Use on Sentence Level Text Extraction R Bawankule, A Pimpalkar – aijet.in … It was given benefit from sentence-level similar understanding and the clustering over similar matrix by using SNMF algorithm. Multiple document summarizations have two type of summarization; extractive summarization and abstractive summarization. … Related articles All 2 versions

The Pareto Principle is Everywhere: Finding Informative Sentences for Opinion Summarization through Leader Detection L Zhu, S Gao, SJ Pan, H Li, D Deng, C Shahabi – www-scf.usc.edu Page 1. The Pareto Principle is Everywhere: Finding Informative Sentences for Opinion Summarization through Leader Detection Linhong Zhu1, Sheng Gao2, Sinno Jialin Pan2, Haizhou Li2, Dingxiong Deng3, and Cyrus Shahabi3 … Related articles

Catching Fire: Start-Ups in the Text Analytics Software Industry A Baur, M Breitsprecher, M Bick – 2014 – aisel.aisnet.org … 2006, Zhong et al. 2012), extractive and abstractive summarization (Aggarwal and Zhai 2012), topic tracking (Rajamaran and Tan 2001, Rajman and Besancon 1998) and question answering (firstly developed by the Massachusetts Institute of Technology, see Katz et al. … Cited by 1 Related articles

Playscript Classification and Automatic Wikipedia Play Articles Generation S Banerjee, C Caragea, P Mitra – Pattern Recognition (ICPR), …, 2014 – ieeexplore.ieee.org … These articles would be a good starting point for readers interested in plays. In future, we plan to improve synopsis generation of such articles. We also plan to use abstractive summarization and natural language generation techniques to improve article generation quality. … Related articles All 5 versions

Combining Semantics and Social Knowledge for News Article Summarization E Baralis, L Cagliero, S Jabeen, A Fiori… – Data Mining and …, 2014 – books.google.com Page 237. 209 Chapter 12 Combining Semantics and Social Knowledge for News Article Summarization Elena Baralis Politecnico di Torino, Italy Saima Jabeen Politecnico di Torino, Italy Luca Cagliero Politecnico di Torino, Italy … All 3 versions

Structuring the Unstructured Note: Automatic Organizing and Formatting for lecture notes. S He – 2014 – orzo.union.edu … might not represent the essence of the topic segment completely. In the future we would love to explore different summarization techniques and packages, especially abstractive summarization systems that select phrases instead of sentences as output. … Related articles

Coherent Multi-sentence Video Description with Variable Level of Detail M Pinkal, B Schiele – … 2014, Münster, Germany, September 2-5, …, 2014 – books.google.com … Page 196. Coherent Multi-sentence Video Description with Variable Level of Detail 187 level.(3) Single sentence descriptions qualitatively differ from all other types, which suggests that abstractive summarization is required for this level. … Related articles

Semantic-based unsupervised hybrid technique for opinion targets extraction from unstructured reviews K Khan, BB Baharudin, A Khan – Arabian Journal for Science and …, 2014 – Springer Page 1. Arab J Sci Eng DOI 10.1007/s13369-014-0990-1 RESEARCH ARTICLE – COMPUTER ENGINEERING AND COMPUTER SCIENCE Semantic-Based Unsupervised Hybrid Technique for Opinion Targets Extraction from Unstructured Reviews … Cited by 1 Related articles All 2 versions

Opinion driven decision support system K Ganesan – 2014 – ideals.illinois.edu … Then, in providing analysis tools to aid decision making, we study Abstractive Summarization of Opinions, where unstructured summaries highlighting key opinions are generated on any arbi- trary topic. … 8 2.2 Abstractive Summarization of Opinions . . . . . … Related articles All 3 versions

Coherent multi-sentence video description with variable level of detail A Rohrbach, M Rohrbach, W Qiu, A Friedrich… – Pattern …, 2014 – Springer … (3) Single sentence descriptions qualitatively differ from all other types, which suggests that abstractive summarization is required for this level. It is, thus, necessary to recognize the topic (dish that is prepared, in our scenario). 2.2 Multi-sentence Video Descriptions. … Cited by 3 Related articles All 3 versions

NewSum: “N-Gram Graph”-Based Summarization in the Real World G Giannakopoulos, G Kiomourtzis… – Innovative Document …, 2014 – books.google.com … This upper limit in the study was the performance of humans (considered the best summarizers), who applied extractive summarization through simple sentence selection and reordering. Abstractive summarization seems to be able to perform better than the extractive process. … Cited by 1 Related articles All 5 versions

HG-Rank: A hypergraph-based keyphrase extraction for short documents in dynamic genre A Bellaachia, M Al-Dhelaan – Making Sense of Microposts (# …, 2014 – ceur-ws.org Page 50. HG-RANK: A Hypergraph-based Keyphrase Extraction for Short Documents in Dynamic Genre Abdelghani Bellaachia Department of Computer Science The George Washington University Washington, DC 20052, USA bell@ gwu. … Cited by 1 Related articles All 2 versions

From hyperlinks to Semantic Web properties using Open Knowledge Extraction V Presutti, AG Nuzzolese, S Consoli… – … to Semantic Web …, 2014 – semantic-web-journal.net Page 1. Undefined 1 (2009) 1–5 1 IOS Press From hyperlinks to Semantic Web properties using Open Knowledge Extraction Editor(s): Name Surname, University, Country Solicited review(s): Name Surname, University, Country … Related articles All 2 versions

Evaluating open relation extraction over conversational texts M Imani – 2014 – elk.library.ubc.ca Page 1. Evaluating Open Relation Extraction Over Conversational Texts by Mahsa Imani B.Sc., Tarbiat Moalem University of Tehran, 2008 M.Sc., Isfahan University of Technology, 2011 A THESIS SUBMITTED IN PARTIAL FULFILLMENT … Related articles All 4 versions

Using Tweets To Summarise News Stories D Tanner-Davies, J McNaught – 2014 – danieltannerdavies.co.uk Page 1. University of Manchester Computer Science Department Using Tweets To Summarise News Stories Author: Daniel Tanner-Davies Supervisor: John McNaught April 29, 2014 Page 2. Abstract A large amount of data is … Related articles

Towards Large Scale Summarization J Christensen – homes.cs.washington.edu … 113 7.6 Abstractive Summarization . . . . . … Page 27. 13 2.1.2 Abstractive Summarization Abstractive summarization is an alternative to sentence extraction. In abstractive summarization, the output may be composed of entirely new sentences or of revised sentences … Related articles

Using Automated Lexical Resources In Arabic Sentence Subjectivity H Mobarz, M Rashown, I Farag – airccse.org … “Opinosis:a graph-based approach to abstractive summarization of highly redundant opinions,” Proceedings of the 23rd International Conference on Computational Linguistics,340–348 [3] Alexandra Balahur Ester Boldrini , Andrés Montoyo and Patricio Martínez-Barco, 2009. … Related articles All 2 versions

Short text keyphrase extraction with hypergraphs A Bellaachia, M Al-Dhelaan – Progress in Artificial Intelligence, 2014 – Springer Page 1. Prog Artif Intell DOI 10.1007/s13748-014-0058-1 REGULAR PAPER Short text keyphrase extraction with hypergraphs Abdelghani Bellaachia • Mohammed Al-Dhelaan Received: 17 March 2014 / Accepted: 1 August 2014 © Springer-Verlag Berlin Heidelberg 2014 … Related articles

Utilizing Graph-based Representation of Text in a Hybrid Approach to Multiple Documents Summarization MA Sayed – 2014 – dar.aucegypt.edu Page 1. All Rights Reserved. This work may not be reproduced in whole or in part, by photocopy or other means, without the permission of the author. SCHOOL OF SCIENCES AND ENGINEERING Utilizing Graph-based Representation of Text in a Hybrid … Related articles All 2 versions

Query-driven event search in news information network S Chen – 2014 – elk.library.ubc.ca … Text summarization generally refers to the process of automatically gener- ating a compressed, yet with preserved important information, version of the given text[9]. It broadly consists of two approaches: extractive and abstractive summarization. … Related articles All 3 versions

Random walks on adjacency graphs for mining lexical relations from big text data S Jiang, CX Zhai – Big Data (Big Data), 2014 IEEE International …, 2014 – ieeexplore.ieee.org Page 1. Random Walks on Adjacency Graphs for Mining Lexical Relations from Big Text Data Shan Jiang Department of Computer Science University of Illinois at Urbana-Champaign Urbana, IL, 61801 USA sjiang18@illinois.edu … Related articles

Product aspect identification: Analyzing role of different classifiers X Hu, S Manna, BN Truong – Computational Intelligence and …, 2014 – ieeexplore.ieee.org … 127–135. [3] K. Ganesan, C. Zhai, and J. Han, “Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions,” in Proceed- ings of the 23rd International Conference on Computational Linguistics. … Related articles

Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure K Allen, G Carenini, RT Ng – anthology.aclweb.org Page 1. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1169–1180, October 25-29, 2014, Doha, Qatar. cO2014 Association for Computational Linguistics Detecting … Related articles All 4 versions

Mining opinion components from unstructured reviews: A review K Khan, B Baharudin, A Khan, A Ullah – Journal of King Saud University- …, 2014 – Elsevier Opinion mining is an interesting area of research because of its applications in various fields. Collecting opinions of people about products and about social a. Cited by 1 Related articles All 2 versions

Towards Scalable Systems for Big Data Analytics: A Technology Tutorial H Hu, Y Wen, T Chua, X Li – 2014 – ieeexplore.ieee.org Page 1. 2169-3536 (c) 2013 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org … Cited by 6 Related articles

Finding Top-k Similar Document Pairs E Bogren, J Toft – publications.lib.chalmers.se Page 1. Finding Top-k Similar Document Pairs – speeding up a multi-document summarization approach Master of Science Thesis in the Programme Computer Science – Algorithms, Languages, and Logic Emma Bogren Johan Toft … Related articles

Review Selection Using Micro-Reviews T Nguyen, H Lauw, P Tsaparas – 2014 – ieeexplore.ieee.org Page 1. 1041-4347 (c) 2013 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This … Related articles All 4 versions

Combining Cooperative Diversity and Turbo Coding in wireless communications H TAYAKOUT, K GHANEM… – Distributed Systems …, 2014 – inds-2014.hds.utc.fr Page 74. Combining Cooperative Diversity and Turbo Coding in wireless communications H. TAYAKOUT 1, 2, K. GHANEM 1 1 Center for Development of Advanced Technologies CDTA, City 20 aout 1956 Baba Hassen, Algiers, Algeria. … Related articles