Abstractive Summarization 2013


See also:

Abstractive Summarization 2014 | Abstractive Summarization 2015Automatic Summarization & Dialog Systems 2011 | Automatic Summarization 2013 | CALO (Cognitive Agent that Learns and Organizes) | Extractive Summarization | GISTexter | Human Language Technology |  TAC (Text Analysis Conference)


Automatic twitter topic summarization with speech acts R Zhang, W Li, D Gao, Y Ouyang – Audio, Speech, and …, 2013 – ieeexplore.ieee.org … 2 kinds of representative extractive summaries and rival human-written summaries in terms of explanatoriness and informativeness. Index Terms—Twitter; speech act; abstractive summarization; key word/phrase extraction I. INTRODUCTION … Cited by 6 Related articles All 5 versions

Towards abstractive speech summarization: Exploring unsupervised and supervised approaches for spoken utterance compression F Liu, Y Liu – Audio, Speech, and Language Processing, IEEE …, 2013 – ieeexplore.ieee.org … COLUMN. For abstractive summarization, we may first apply the utterance level compression techniques to the … structure based compression approaches and the abstractive summarization approaches, which rely heavily on … Cited by 3 Related articles All 2 versions

Abstractive meeting summarization with entailment and fusion Y Mehdad, G Carenini, FW Tompa, RT NG – Proceedings of the 14th …, 2013 – aclweb.org … Moreover, most of the abstractive summarization approaches focus on one component of the system, such as generation (eg,(Genest and Lapalme, 2010)) or content selection (eg,(Murray et al., 2012)), in- stead of developing the full framework for abstrac- tive summarization. … Cited by 2 Related articles All 7 versions

Open-Domain multi-document summarization via information extraction: Challenges and prospects H Ji, B Favre, WP Lin, D Gillick, D Hakkani-Tur… – Multi-source, …, 2013 – Springer … While IE was a primary element of early abstractive summarization systems, it’s been left out in more recent extractive systems. … We first concluded that simply relying upon IE for abstractive summarization is not in itself sufficient to produce informative and fluent summaries. … Cited by 4 Related articles All 7 versions

FindiLike: a preference driven entity search engine for evaluating entity retrieval and opinion summarization K Ganesan, CX Zhai – Proceedings of the 2013 workshop on Living labs …, 2013 – dl.acm.org … preference query (expressed in keywords). FindiLike then uses abstractive summarization techniques to generate con- cise opinion summaries to enable users to digest the opinions about an entity. We discuss how the system … Cited by 1 Related articles

Multi-Document Summarization Of Evaluative Text G Carenini, JCK Cheung, A Pauls – Computational Intelligence, 2013 – Wiley Online Library … inadequate if opinions are diverse. So the difference in performance between extractive and abstractive summarization of evaluative text may well depend on the degree of controversiality in the corpus. In a second user study … Cited by 5 Related articles All 2 versions

Single extractive text summarization based on a genetic algorithm RA García-Hernández, Y Ledeneva – Pattern Recognition, 2013 – 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 … Cited by 2 Related articles All 2 versions

Summarizing Conceptual Graphs for Automatic Summarization Task S Miranda-Jiménez, A Gelbukh, G Sidorov – Conceptual Structures for …, 2013 – Springer … Such a deep analysis is indispensible to improve the quality of summaries [1]. We propose a method for single-document abstractive summarization, based on conceptual graphs as the underlying text representation [8]. This kind of representa- tion has not been used for … Cited by 2 Related articles All 2 versions

Document Summarization via Guided Sentence Compression. C Li, F Liu, F Weng, Y Liu – EMNLP, 2013 – aclweb.org … Extractive summarization focuses on selecting the salient sentences from the document collection and concatenating them to form a sum- mary; while abstractive summarization is generally considered more difficult, involving sophisticated techniques for meaning representation … Cited by 3 Related articles All 3 versions

Multi-document summarization exploiting semantic analysis based on tag cluster JU Heu, JW Jeong, I Qasim, YD Joo, JM Cho… – Advances in Multimedia …, 2013 – Springer … One is extractive summarization approach and the other is abstractive summarization approach [1]. Extractive summarization approach involves assigning saliency scores to some units (eg sentences, paragraphs) of the documents and extracting those units with the highest … Cited by 2 Related articles

A Four Dimension Graph Model for Automatic Text Summarization R Ferreira, F Freitas, LS Cabral, RD Lins… – Web Intelligence (WI …, 2013 – ieeexplore.ieee.org … Graph models show the relation between the sentences in a text, being particularly valuable for tasks of extractive and abstractive summarization, question-answering systems, information retrieval systems, among other text-related so- lutions. … Cited by 2 Related articles All 4 versions

Rich Semantic Graph: A New Semantic Text Representation Approach for Arabic Language SS Ismail, M Aref, I Moawad – 17th WSEAS European Computing …, 2013 – researchgate.net … Several research activities are related to Graph Representation for Text summarization.While most of the earlier work stays at the shallow parsing level, in 2004, Leskovec et al[4-6] presented a novel approach of document Abstractive summarization by generating semantic … Cited by 2 Related articles All 2 versions

Assessing sentence scoring techniques for extractive text summarization R Ferreira, L de Souza Cabral, RD Lins… – Expert systems with …, 2013 – Elsevier Text summarization is the process of automatically creating a shorter version of one or more text documents. It is an important way of finding relevant informat. Cited by 5 Related articles All 3 versions

Tweet Contextualization (Answering Tweet Question)–the Role of Multidocument Summarization P Bhaskar, S Banerjee, S Bandyopadhyay – 2013 – ims-sites.dei.unipd.it … Text Summarization methods can be classified into abstractive and extractive summarization. An Abstractive Summarization ([4] and [5]) attempts to develop an understanding of the main concepts in a document and then expresses those concepts in clear natural language. … Cited by 3 Related articles

Comparative document summarization via discriminative sentence selection D Wang, S Zhu, T Li, Y Gong – ACM Transactions on Knowledge …, 2013 – dl.acm.org … Page 3. Comparative Document Summarization via Discriminative Sentence Selection 2:3 In general, there are two types of summarization: extractive summarization and abstractive summarization [Jing and McKeown 2000; Knight and Marcu 2002]. … Cited by 4 Related articles All 2 versions

Survey on web page visual summarization A Porselvi, S Gunasundari – International Journal of Emerging …, 2013 – ijetae.com … The result web page contains a document title, a snippet, a URL. The snippet is a short summary of the document, which is designed so as to allow the user to decide its relevance. Text summarization can be classified into extractive and abstractive summarization. … Cited by 1 Related articles All 2 versions

Application of Text Summarization techniques to the Geographical Information Retrieval task JM Perea-Ortega, E Lloret… – Expert Systems with …, 2013 – Elsevier … This stage is what distinguishes extractive (Mei & Chen, 2012) from abstractive summarization (Genest & Lapalme, 2011). Finally, the summary generation only makes sense if abstractive summaries are generated; otherwise, the summary is a selection of sentences. … Cited by 1 Related articles All 5 versions

TopicDSDR: combining topic decomposition and data reconstruction for summarization Z Zhang, H Li – Web-Age Information Management, 2013 – Springer … A well organized summary can greatly help users to reduce information overload. In general, document summarization can be classified into two categories: abstractive summarization and extractive summarization. Abstractive … Cited by 1 Related articles All 2 versions

Absum: a knowledge-based abstractive summarizer PE Genest, G Lapalme – Génération de résumés par …, 2013 – atour.iro.umontreal.ca … umontreal. ca This paper introduces a flexible and scalable methodology for abstractive summarization called K-BABS. … 1. Introduction Abstractive summarization is one of the main goals of text summarization research, but also one of its greatest challenges. … Cited by 1 Related articles All 8 versions

Hierarchical clustering in improving microblog stream summarization A Olariu – Computational Linguistics and Intelligent Text …, 2013 – Springer … 435 6. Ganesan, K., Zhai, C., Han, J.: Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions. In: Proceedings of the 23rd Interna- tional Conference on Computational Linguistics, COLING 2010, Stroudsburg, PA, USA, pp. 340–348. … Cited by 1 Related articles All 2 versions

Using gene expression programming in automatic text summarization PK Dehkordi, F Kyoumarsi – Middle East J Sci Res, 2013 – idosi.org … representative subset of the sentences in the original regards to different aspects such as information content documents. Abstractive summarization may compose and text clarity. Manual labour is time consuming and novel sentences, unseen in the original sources. However, … Cited by 1 Related articles All 3 versions

Multiple documents summarization based on evolutionary optimization algorithm RM Alguliev, RM Aliguliyev, NR Isazade – Expert Systems with Applications, 2013 – Elsevier … Wang et al., 2011 and Wang et al., 2009). In general, document summarization can be divided into extractive summarization and abstractive summarization. Extractive summarization produces summaries by choosing a subset … Cited by 5 Related articles All 5 versions

A Survey on Template Based Abstractive Summarization of Twitter Topic Using Ensemble SVM with Speech Act GR Shaikh, DM Padulkar – International Journal of Engineering Research …, 2013 – ijert.org In this todays Internet world, social media service such as Twitter is very popular and used worldwide. In this survey paper we are going to describe various methodology and approches that are useful in twitter topic summarization. In this survey paper, we have …

sArAmsha-A Kannada abstractive summarizer VR Embar, SR Deshpande… – Advances in …, 2013 – ieeexplore.ieee.org … Abstract Abstractive summarization has been explored only to some extent in recent years in English, Japanese and other foreign languages. This … anaphora. Abstractive summarization has not been researched to the same extent. … Related articles

A Study of Automatic Text Summarization using Extractive Techniques SCA Jaya – ijrate.org … The abstractive summarization is the process in which the abstract of the document is created. … B. Abstractive and extractive summarization The abstractive summarization is the process in which the abstract of the document is created. The abstract Page 2. … Related articles

Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain. JCK Cheung, G Penn – ACL (1), 2013 – aclweb.org … For example, a series of related events can be aggregated and expressed as a trend. The position of this paper is that centrality is not enough to make substantial progress towards abstractive summarization that is capable of this type of semantic inference. … Related articles All 6 versions

A Survey of Extractive and Abstractive Text Summarization Techniques V Dalal, L Malik – Emerging Trends in Engineering and …, 2013 – ieeexplore.ieee.org … Madrid: ACL, 1997. 10Y17. [5] Kavita Ganesan, ChengXiang Zhai, Jiawei Han, IOpinosis: A GraphYBased Approach to Abstractive Summarization of Highly Redundant Opinions”. [6] Eduard Hovy and ChinYYew Lin. IAutomated Text Summarization in SUMMARIST”. … Related articles

Natural Language Generation and Summarization at RALI G Lapalme – ENLG 2013, 2013 – aclweb.org … In much the same way as NLG has suffered from the fact that it is often possible to trick the readers with canned text or formatted templates, abstractive summarization had to compete with ac- ceptable results produced by scorers of sentences, the ones with the best scores being … Related articles All 11 versions

Automatically extracting clinically useful sentences from UpToDate to support clinicians’ information needs R Mishra, G Del Fiol, H Kilicoglu… – AMIA Annual …, 2013 – ncbi.nlm.nih.gov … Information extraction and summarization. Overall, text summarization can be classified into two types: 1) extractive summarization; and 2) abstractive summarization. In extractive summarization, the sentences are selected based on their relevance and key words. … Related articles All 7 versions

Multi-Document Text Summarization using Mutual Reinforcement and Relevance Propagation Models Added with Query and Features Profile PP Bari, S Sondur – theaccents.org … Extractive summaries are framed by extracting key text segments (sentences or passages) from the text. Abstractive summarization attempts to develop an understanding of the main concepts in a document and then express those concepts in clear natural language. … Related articles All 4 versions

Improving coherence by reordering the output of extractive summarization using Centering Theory through genetic algorithm R Manurung – Advanced Computer Science and Information …, 2013 – ieeexplore.ieee.org … the headline or outline of a news article is an instance of single document summarization, whereas producing an answer for a non-factoid question may involve multiple document summarization[ 1]. A summary can be produced through abstractive summarization, ie generating … Related articles

A Novel Technique for Efficient Text Document Summarization as a Service A Bagalkotkar, A Kandelwal, S Pandey… – … in Computing and …, 2013 – ieeexplore.ieee.org … Not only is the summarized document shorter but also cohesive, readable and intelligible. Multidisciplinary approaches in information retrieval, linguistics, machine learning and artificial intelligence have been applied to achieve the abstractive summarization. … Related articles

Efficient feature integration with Wikipedia-based semantic feature extraction for Turkish text summarization A GÜRAN, NG BAYAZIT… – Turkish Journal of …, 2013 – mistug.tubitak.gov.tr … ADS can perform extractive and abstractive summarization tasks. Extractive summarization techniques involve selecting the most important existing sentences, whereas abstractive summarization techniques involve generating novel sentences from given documents. … Related articles All 4 versions

Algorithm to Resolve Anaphoric Ambiguity of Text Summarization A Thakur – 2013 – dspace.thapar.edu … source text, preserving its information content and overall meaning. Automatic text summarization can be classified into extractive and abstractive summarization. An extractive text summarization method [1] consists of selecting important text … Related articles

Clustering cliques for graph-based summarization of the biomedical research literature H Zhang, M Fiszman, D Shin, B Wilkowski… – BMC …, 2013 – biomedcentral.com … To facilitate access to the biomedical research literature, Fiszman et al. [6] developed an automatic abstractive summarization method based on semantic predications identified in biomedical text by the SemRep natural language processing system [5,7]. Both semantic … Cited by 4 Related articles All 19 versions

Multi-document Summarization Using Semantic Analysis Based on Tag Cluster YD Joo – psr.kangnam.ac.kr … In contrast, abstractive summarization approach draws the essence of the source documents to build a summary by using natural language processing techniques[1]. Although the abstraction-based method can summarize a document more accurately, it entails more difficulties … Related articles

Link Analysis Based on Rhetorical Relations for Multi-Document Summarization NAHB Zahri, F Fukumoto… – IEICE TRANSACTIONS on …, 2013 – search.ieice.org … Text summarization limits the need for user to access the original documents and improves the efficiency of the information search. The general approach of summarizing documents is extractive or abstractive summarization. … Related articles All 3 versions

Proposing an Extractive Mono-Document Summarization System for Persian Language S Masoumi, R Tabatabaei… – Journal of …, 2013 – ingentaconnect.com … Text Sum- marization methods can be classified into extractive and abstractive summarization. An extractive summarization method consists of selecting important sentences, para- graphs etc. from the original document and concatenating them into shorter form. …

The features-based evolution of the opinions in forums using a semantic summarization approach DC Cercel, S Trausan-Matu – Systems and Computer Science ( …, 2013 – ieeexplore.ieee.org … [20] K. Ganesan, C. Zhai, and J. Han, —Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions,“ In Proceedings of the 23rd International Conference on Computational Linguistics. COLING ’10. … Related articles

Text Summarization using Clustering Technique AR Deshpande, L Lobo – ijettjournal.org … technique of summarization. Keywords— Extractive Summarization, Abstractive Summarization, Multi-document summarization, Document Clustering, Vector space model, Cosine similarity. I. INTRODUCTION Text Summarization … Related articles All 2 versions

A Survey of Text Summarizers for Indian Languages and Comparison of their Performance V Gupta – Journal of Emerging Technologies in Web …, 2013 – ojs.academypublisher.com … language understanding, so alternative methods must be considered. Difficulties of abstractive summary [1] are as: The main difficulty with abstractive summarization is representation. The abilities of automatic systems are limited … Related articles All 3 versions

New Modified Elmore Delay Model For Resistance-Capacitance-Conductance (Rcg) Interconnect Network Scheme R UMA, I KRISHNAPPRIYA, P DHAVACHELVAN… – Journal of Theoretical …, 2013 – jatit.org … Title: AUTOMATIC ABSTRACTIVE SUMMARIZATION A SYSTEMATIC LITERATURE REVIEW. Author: … In this paper, a Systematic Literature Review (SLR) on abstractive summarization is presented and various abstractive techniques are discussed along with their evaluations. … Related articles All 4 versions

CIST System Report for ACL MultiLing 2013–Track 1: Multilingual Multi-document Summarization L Li, W Heng, J Yu, Y Liu, S Wan – MultiLing 2013, 2013 – aclweb.org … An Effective Approach for AESOP and Guided Summarization Task. TAC 2010 Pro- ceedings. Pierre-Etienne Genest and Guy Lapalme, 2010. Text Generation for Abstractive Summarization. TAC 2010 Proceedings. Pradipto Das and Rohini Srihari, 2011. … Related articles All 3 versions

COMPENDIUM: A text summarization system for generating abstracts of research papers E Lloret, MT Romá-Ferri, M Palomar – Data & Knowledge Engineering, 2013 – Elsevier … Two approaches are suggested: an extractive (COMPENDIUM E ), which only selects and extracts the most relevant sentences of the documents, and an abstractive-oriented one (COMPENDIUM E–A ), thus facing also the challenge of abstractive summarization. … Related articles All 5 versions

Quadratic Boolean Programming Model And Binary Differential Evolution Algorithm For Text Summarization RM Alguliev, RM Aliguliyev, MS Hajirahimova – jpit.az … Unsupervised methods do not require training data such as human-made summaries to train the summarizer [3, 5]. There are two types of summarization: extractive summarization and abstractive summarization. Extractive summarization … Related articles

Hybrid Algorithm for Multilingual Summarization of Hindi and Punjabi Documents V Gupta – Mining Intelligence and Knowledge Exploration, 2013 – Springer … The goal of automatic text summarization is condensing the source text into a shorter version preserving its information content and overall meaning. Text summarization methods can be classified into extractive and abstractive summarization. … Related articles

Query and Features based Multi-Document Summarization using Mutual Reinforcement and Relevance Propagation models with ROUGE Evaluation PP Bari, S Sondur – vesit.edu … Extractive summaries are framed by extracting key text segments (sentences or passages) from the text. Abstractive summarization attempts to develop an understanding of the main concepts in a document and then express those concepts in clear natural language. … Related articles All 2 versions

Neural network based approach to study the effect of feature selection on document summarization DY Sakhare – … Journal of Engineering & Technology (0975- …, 2013 – enggjournals.com … This is again an open challenge for research community. Cut and Paste [12] is the first domain independent abstractive summarization tool. This was developed using sentence reduction and sentence combination techniques. … Related articles All 4 versions

Arabic Text Representation using Rich Semantic Graph: A Case Study SS ISMAIL, F MOAWAD – wseas.us … The majority of the early work stays at the parsing level, nevertheless, Leskovec et al[3-5] in 2004, presented a novel approach of document abstractive summarization by generating semantic representation of the document. … Related articles All 2 versions

Compact explanatory opinion summarization HD Kim, M Castellanos, M Hsu, CX Zhai… – Proceedings of the …, 2013 – dl.acm.org … baseline. Our problem setup is based on ex- tractive summary generation and unsupervised learning. Therefore, abstractive summarization and supervised machine learning-based approaches are not comparable. There are … Related articles

Evaluating the use of different positional strategies for sentence selection in biomedical literature summarization L Plaza, J Carrillo-de-Albornoz – BMC bioinformatics, 2013 – biomedcentral.com … In other words, while extractive summarization is mainly concerned with what the summary content should be, abstractive summarization puts the emphasis on the form [5]. Although human summaries are typically abstracts, most existing systems produce extracts largely … Cited by 2 Related articles All 13 versions

Automatic text summarization based on semantic analysis approach for documents in Indonesian language PP Tardan, A Erwin, KI Eng… – Information Technology …, 2013 – ieeexplore.ieee.org … done. There are two classifications of summarization method; extractive and abstractive summarization. … form. On the other hand, abstractive summarization tends to reveal the meaning of a text and paraphrase the summarization. … Related articles

Forum Summarization Using Topic Models and Content-Metadata Sensitive Clustering J Krishnamani, Y Zhao… – Web Intelligence (WI) and …, 2013 – ieeexplore.ieee.org … A good summary retains the essential information of the text while also being cohesive and concise. Document summarization can be classified into Extractive summarization and Abstractive summarization based on how the summary is constructed. … Related articles All 3 versions

Overview of Text Summarization Extractive Techniques MP AN – ijecs.in … sentences. An abstractive summarization method consists of understanding the original text and re-telling it in fewer words. … time. Text Summarization methods can be classified into extractive and abstractive summarization. … Related articles

A Survey on Automated Text Summarization Methodologies K Divya – ijsret.org … To create the summarization both abstractive and extractive approaches have been attempted, depending on the application. Usually, abstractive summarization requires heavy machinery for language generation and is difficult to replicate or extend to broader domains. … Related articles

Evaluation of Punjabi Extraction based Summarizer for Stories V Gupta – ijettjournal.org … using extractive methods. Abstractive methods of summary evaluation involve understanding of input text and reformulation of it in small number of terms and sentences. At present abstractive summarization is very difficult. It may … Related articles All 2 versions

Generation of description metadata for video files A Maratea, A Petrosino, M Manzo – Proceedings of the 14th International …, 2013 – dl.acm.org … 4, pp. 192-195, 2007. [8] K. Ganesan, C. Zhai, and J. Han. Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions. In Proceedings of the 23rd International Conference on Computational Linguistics, pp. 340-348, 2010. 268 Page 8. … Related articles

Implicit sensitive text summarization based on data conveyed by connectives HC Ouertani – arXiv preprint arXiv:1312.3258, 2013 – arxiv.org … extracting those with highest scores [8]. – Abstractive summarization: this technique usually needs information fusion, sentence compression and reformulation [4]. III. HOW CONNECTIVES ARE AFFECTING SENTENCE ORIENTATION … Related articles All 8 versions

An enhanced spectral based approach for initial and update summary generation P Vanitha, SV Kogilavani – Computer Communication and …, 2013 – ieeexplore.ieee.org … The information source may be a collection of articles from news domain, scientific articles or a business reports etc. Extractive and Abstractive summarization are the two basic approaches for document summarization. Extractive … Related articles

Generic Multi Document Summarization Based On STARLET Approach MP Jawalkar, K Korabu – confianzit.org … original document and concatenating them into shorter form. The importance of sentences is decided based on statistical and linguistic features of sentences. An abstractive summarization method consists of understanding the original text and re-telling it in fewer words. … Related articles

Efficient Phrase-Based Model for Automatic Caption Generation of Images PM Kadhav, P Patil – International Journal of Innovative Research and …, 2013 – ijird.com … In this paper Extractive caption generation technique were used. Therefore explore extractive and abstractive summarization models that rely on visual information to drive the generation process. There are various caveats with extracts. … Related articles All 2 versions

Collective Intelligence for Suicide Surveillance in Web Forums TMH Li, BCM Ng, M Chau, PWC Wong… – Intelligence and Security …, 2013 – Springer … IEEE (2011) 19. Ganesan, K., Zhai, C., Han, J.: Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions. In: Proceedings of the 23rd International Conference on Computational Linguistics. … Related articles All 6 versions

Random forest classifier based multi-document summarization system Department of Computer Science University of Kerala, Kariavattom A John, M Wilscy – … (RAICS), 2013 IEEE Recent Advances in, 2013 – ieeexplore.ieee.org … Text summarization techniques are classified as abstractive summarization and extractive summarization. Abstractive summarization is based on Natural Language Processing (NLP) techniques for parsing, deducing and generating text. … Related articles

Mining MEDLINE for problems associated with vitamin D D Demner-Fushman, JG Mork… – AMIA Annual Symposium …, 2013 – ncbi.nlm.nih.gov … The search identified 8,883 additional citations for a total of 44,961 citations. MeSH-based abstractive summarization. Once we created the dataset of relevant vitamin D citations, we could then identify articles of interest using the MeSH indexing. … Related articles All 5 versions

Overview and Preliminary Results for a Opinions Summarizarion Method CD Clementin, S Trausan-Matu… – Control Systems and …, 2013 – ieeexplore.ieee.org Page 1. Overview and Preliminary Results for a Opinions Summarizarion Method Dumitru Clementin Cercel*, ?tefan Tr?u?an-Matu*,** *Faculty of Automatic Control and Computes Science University POLITEHNICA of Bucharest … Related articles All 2 versions

Towards automatic tweet generation: A comparative study from the text summarization perspective in the journalism genre E Lloret, M Palomar – Expert Systems with Applications, 2013 – Elsevier In recent years, Twitter has become one of the most important microblogging services of the Web 2.0. Among the possible uses it allows, it can be employed for c. Related articles All 4 versions

Spork: A Summarization Pipeline For Online Repositories Of Knowledge S Lyngbaek – 2013 – digitalcommons.calpoly.edu … 10 2.5 Abstractive Summarization . . . . . … 10 Page 20. different topics and creates a general solution. 2.5 Abstractive Summarization After looking at a fairly large base of extractive techniques, we find that there is very limited research on abstractive approaches. … Related articles

Towards summarization of written text conversations A Sood – 2013 – web2py.iiit.ac.in … text. While abstractive summarization could provide a more readable summary, state of the art systems are all extractive summarizers, where most representative sentences are picked from the text to form the summary. Extractive … Cited by 1 Related articles

Tackling redundancy in text summarization through different levels of language analysis E Lloret, M Palomar – Computer Standards & Interfaces, 2013 – Elsevier One of the main challenges to be addressed in text summarization concerns the detection of redundant information. This paper presents a detailed analysis of thr. Cited by 1 Related articles All 2 versions

Summarizing opinion-related Information for mobile devices G Di Fabbrizio, AJ Stent, R Gaizauskas – Mobile Speech and Advanced …, 2013 – Springer Page 1. 289 A. Neustein and JA Markowitz (eds.), Mobile Speech and Advanced Natural Language Solutions, DOI 10.1007/978-1-4614-6018-3_11, © Springer Science+Business Media New York 2013 Abstract Reviews about … Cited by 1 Related articles All 3 versions

Methods and tools for temporal knowledge harvesting Y Wang – 2013 – scidok.sulb.uni-saarland.de Page 1. Methods and Tools for Temporal Knowledge Harvesting Dissertation zur Erlangung des Grades Doktor der Ingenieurwissenschaften (Dr.-Ing.) der Naturwissenschaftlich- Technischen Fakultät I der Universität des Saarlandes Yafang Wang … Related articles All 2 versions

Coherence-targeted text summarization R Zhang – 2013 – repository.lib.polyu.edu.hk … 133 4.3.1 Speech Act Recognition in Twitter….. 137 4.3.2 Speech Act-guided Key Word/Phrase Extraction ….. 142 4.3.3 Abstractive Summarization for Twitter Topics ….. 146 4.3.4 Experimental Results ….. 154 … Related articles All 2 versions

Answering Questions from Multiple Documents-the Role of Multi-Document Summarization. P Bhaskar – RANLP, 2013 – aclweb.org … An Abstractive Summarization ((Hahn and Romacker, 2001) and (Erkan and Radev, 2004)) attempts to develop an understanding of the main concepts in a document and then expresses those concepts in clear natural language. … Cited by 2 Related articles All 3 versions

A Computationally Efficient System for High-Performance Multi-Document Summarization. S Sovine, H Han – FLAIRS Conference, 2013 – aaai.org … form the summary. Currently, most successful MDS systems are extractive in nature. The alternative, abstractive summarization is a much more difficult task entailing the generation of natural lan- guage. We propose an algorithm … Related articles All 3 versions

[BOOK] Multi-source, Multilingual Information Extraction and Summarization T Poibeau, H Saggion, J Piskorski, R Yangarber – 2013 – Springer … The authors observe that IE ad TS share the same goal of extracting and presenting relevant information in a document. They show that while IE was a primary element of early abstractive summarization systems, it has been left out in more recent extractive systems. … Cited by 1 Related articles All 8 versions

Get only the essential information: Text summarizer based on implicit data H Chorfi – … Technology and Accessibility (ICTA), 2013 Fourth …, 2013 – ieeexplore.ieee.org … dealing with Multi-docwnent summarization, we can talk about Extractive summarization: this technique involves assigning scores to some units (eg sentences, paragraphs) of the documents and extracting those with highest scores [8]. Abstractive summarization: this technique … Related articles

Extractive Summarization and Dialogue Act Modeling on Email Threads: An Integrated Probabilistic Approach T Oya, G Carenini – cs.ubc.ca … 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 2 versions

Syntactic Sentence Compression for Text Summarization P Perera – 2013 – spectrum.library.concordia.ca … summarization and the methods used in summary generation: extractive summarization and abstractive summarization. … 1.1.6 Abstractive Text Summarization In abstractive summarization, the meaning of sentences is somehow extracted and combined … Related articles

Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach. T Ma, H Nakagawa – EMNLP, 2013 – aclweb.org Page 1. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 736–746, Seattle, Washington, USA, 18-21 October 2013. cO2013 Association for Computational Linguistics Automatically … Related articles All 2 versions

Towards content-level coherence with aspect-guided summarization R Zhang, W Li, D Gao – ACM Transactions on Speech and Language …, 2013 – dl.acm.org … Although taking an IE approach holds the promise of abstractive summarization, under the status quo little achievement has been made [Genest and Lapalme 2010]. Our strategy is to scale down the problem by positioning the target at sentence level. … Cited by 1 Related articles

Sentiment Analysis and Summarization of Twitter Data SA Bahrainian, A Dengel – Computational Science and …, 2013 – ieeexplore.ieee.org … as a summary of that corpus. The second method, known as abstractive summarization, is generating a textual summary in which the used words are not necessarily the ones used in the corpus. There has been a great amount … Related articles All 4 versions

Natutal language processing: Perspective of CIC-IPN A Gelbukh – Advances in Computing, Communications and …, 2013 – ieeexplore.ieee.org … highlight the important places in the text. In contrast, in abstractive summarization the program constructs a new text, as we do when we reYtell a story in our own words. One possible approach to extractive automatic summarization … Cited by 2 Related articles All 9 versions

Automatic caption generation for news images Y Feng, M Lapata – Pattern Analysis and Machine Intelligence, …, 2013 – ieeexplore.ieee.org … depicted in the image). We therefore explore extractive and abstractive summarization models that rely on visual information to drive the generation process. Our extractive models are close in spirit to Farhadi et al. [16]—the caption … Cited by 9 Related articles All 11 versions

Supervised Sentence Fusion with Single-Stage Inference K Thadani, K McKeown – aclweb.org Page 1. International Joint Conference on Natural Language Processing, pages 1410–1418, Nagoya, Japan, 14-18 October 2013. Supervised Sentence Fusion with Single-Stage Inference Kapil Thadani and Kathleen McKeown … Related articles All 8 versions

Extractive summarisation via sentence removal: Condensing relevant sentences into a short summary M Bonzanini, M Martinez-Alvarez… – Proceedings of the 36th …, 2013 – dl.acm.org … Journal of the ACM (JACM), 16(2):264–285, 1969. [5] K. Ganesan, CX Zhai, and J. Han. Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions. In Proceedings of the 23rd COLING, pages 340–348, 2010. [6] M. Hu and B. Liu. … Cited by 3 Related articles All 5 versions

An Opinion-aware Approach to Contextual Suggestion P Yang, H Fang – trec.nist.gov … 2. K. Ganesan, C. Zhai, and J. Han. Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions. In Proceedings of the 23rd International Conference on Computational Linguistics, COLING ’10, pages 340–348, Stroudsburg, PA, USA, 2010. … Related articles

Towards generating human-oriented summaries of unit test cases M Kamimura, GC Murphy – Program Comprehension (ICPC), …, 2013 – ieeexplore.ieee.org … In earlier work at UBC, we have shown that textual summaries of crosscutting source code and bugs can help in source code change [2] and bug duplication tasks [3]. The work described in this paper introduces a new abstractive summarization approach summarize a … Cited by 2 Related articles All 2 versions

Graph-based informative-sentence selection for opinion summarization L Zhu, S Gao, SJ Pan, H Li, D Deng… – Advances in Social …, 2013 – ieeexplore.ieee.org … Information Explosion Era, 2008. [12] 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 COLING, 2010. [13] K. Lerman, S … Cited by 1 Related articles All 7 versions

Entity Type Modeling for Multi-Document Summarization: Generating Descriptive Summaries of Geo-Located Entities A Aker – 2013 – staffwww.dcs.shef.ac.uk Page 1. Entity Type Modeling for Multi-Document Summarization: Generating Descriptive Summaries of Geo-Located Entities Ahmet Aker A thesis submitted in fulfilment of requirements for the degree of Doctor of Philosophy … Related articles All 4 versions

Exploring semi-automatic nugget extraction for japanese one click access evaluation M Ekstrand-Abueg, V Pavlu, M Kato, T Sakai… – Proceedings of the 36th …, 2013 – dl.acm.org … Ad- ditionally, we plan to examine the utility of these nuggets in directly creating summaries. We believe that the redundancy and overlap of information will help a summarizer with both flow and importance of information, two important facets of abstractive summarization. … Cited by 1 Related articles

Mining conceptual rules for web document using sentence ranking conditional probability VM Navaneethakumar – Pattern Recognition, Informatics and …, 2013 – ieeexplore.ieee.org … in series age. It is very complicated for human beings to actually evaluate enormous documents of text. Text Summarization techniques [11] can be slatted into extractive and abstractive summarization. In [12], represent how … Cited by 1 Related articles

Feature Based Gene Summary Extraction with Re-ranking S Gupta – eecis.udel.edu … intracellular media- tor OF(activin)”. Instead of just extracting repre- sentative sentences from the About Set, these rela- tions will helps us generate phrases and move to- ward abstractive summarization. We could com- bine … Related articles

Sentence compression with joint structural inference K Thadani, K McKeown – Proceedings of CoNLL, 2013 – aclweb.org … 1 Introduction Recent years have seen increasing interest in text- to-text generation tasks such as paraphrasing and text simplification, due in large part to their direct utility in high-level natural language tasks such as abstractive summarization. … Cited by 4 Related articles All 7 versions

Language Network & ITS Applications CS YADAV – researchgate.net … Text Summarization methods can be classified into Extractive and Abstractive summarization. An extractive summarization method consists of … Whereas in an abstractive summarization an attempt is made to develop understanding of the main concepts in a document and … Related articles

Automatic selection of social media responses to news T Štajner, B Thomee, AM Popescu… – Proceedings of the 19th …, 2013 – dl.acm.org Page 1. Automatic Selection of Social Media Responses to News Tadej ?Stajner Jo?zef Stefan Institute Jamova ul. 39 1000 Ljubljana, Slovenia tadej.stajner@ijs.si Bart Thomee Yahoo! Research Avinguda Diagonal 177 08018 Barcelona, Spain bthomee@yahoo-inc.com … Cited by 8 Related articles All 4 versions

Ranking on data manifold with sink points XQ Cheng, P Du, J Guo, X Zhu… – Knowledge and Data …, 2013 – ieeexplore.ieee.org … There are mainly two kinds of approaches for update summarization, one is abstractive summarization [25], [14], in which some deep natural language processing techniques are leveraged to compress sentences or to reorganize phrases to produce a summary of the text. … Cited by 10 Related articles All 18 versions

On evaluation of customer dissatisfaction index based on sentiment analysis: a statistical approach S Chakrabarty, S Bhattacharya, K Batra – International Journal of Data …, 2013 – Inderscience Page 1. Int. J. Data Analysis Techniques and Strategies, Vol. 5, No. 4, 2013 427 Copyright © 2013 Inderscience Enterprises Ltd. On evaluation of customer dissatisfaction index based on sentiment analysis: a statistical approach Sugato Chakrabarty* … Cited by 1 Related articles

Summarizing software artifacts S Rastkar – 2013 – circle.ubc.ca … For bug reports, we used an extractive approach based on an existing super- vised summarization system for conversational data. For crosscutting code concerns, we developed an abstractive summarization approach. … 16 2.1.1 Extractive vs. Abstractive Summarization . . . . . … Related articles All 2 versions

Enhancing Summaries with Conceptual Spaces J Gupta – 2013 – web2py.iiit.ac.in … This led to building of abstractive summarization techniques. Witbrock et al. … Thus, depending upon the sentences in the summary the summarization task can be classified as abstractive summarization vs. extractive summarization. …

Interpreting Time in Text Summarizing Text with Time NGJ Ping – 2013 – scholarbank.nus.edu.sg Page 1. INTERPRETING TIME IN TEXT SUMMARIZING TEXT WITH TIME JUN-PING NG (Master of Science, NUS) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY SCHOOL OF COMPUTING NATIONAL UNIVERSITY OF SINGAPORE 2013 Page 2. … Related articles All 4 versions

Biomedical Natural Language Processing and Text Mining KB Cohen – Methods in Biomedical Informatics: A Pragmatic …, 2013 – books.google.com Page 158. Chapter Biomedical Natural Language Processing and Text Mining Kevin Bretonnel Cohen Computational Bioscience Program, University of Colorado School of Medicine, Department of Linguistics, University of … Related articles

Ranking, Labeling, and Summarizing Short Text in Social Media E Khabiri – 2013 – repository.tamu.edu Page 1. RANKING, LABELING, AND SUMMARIZING SHORT TEXT IN SOCIAL MEDIA A Dissertation by ELHAM KHABIRI Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY … Related articles All 3 versions

Fuzzy-DDE: a fuzzy method for the extraction of document cluster descriptors TM Nogueira, HA Camargo, SO Rezende – International Journal of …, 2013 – mirlabs.org … 528–533. [5] K. Ganesan, C. Zhai, and J. Han, “Opinosis: A graph based approach to abstractive summarization of highly redundant opinions,” in Proceedings of the 23rd In- ternational Conference on Computational Linguistics (COLING), Beijing, China, 2010, pp. 340–348. … Cited by 1 Related articles

General unsupervised explanatory opinion mining from text data HD Kim – 2013 – ideals.illinois.edu … also compared to our methods as TF-IDF baseline. Our problem setup is based on extractive summary generation and unsupervised learning. Therefore, abstractive summarization and supervised machine learning-based approaches are not comparable to our methods. 7 … Related articles All 2 versions

Novelty Detection by Latent Semantic Indexing X Zhang – 2013 – uwspace.uwaterloo.ca Page 1. Novelty Detection by Latent Semantic Indexing by Xueshan Zhang A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Master of Mathematics in Statistics Waterloo, Ontario, Canada, 2013 c Xueshan Zhang 2013 … Related articles All 3 versions

Fine-Grained Opinion Mining in Resource-Scarce Languages with Sentence-level Subjectivity Analysis M Aditya – 2013 – web2py.iiit.ac.in Page 1. Fine-Grained Opinion Mining in Resource-Scarce Languages with Sentence-level Subjectivity Analysis Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science (by Research) in Computer Science and Engineering by … Related articles