ROUGE (Recall-Oriented Understudy for Gisting Evaluation) 2014


See also:

Abstractive Summarization 2013 | Abstractive Summarization 2014 | Automatic Summarization 2014 | Extractive Summarization | NLP Systems Evaluation | Open Text Summarizer | OpenCog Cognitive Architecture | RBMT (Rule-Based Machine Translation) & Dialog Systems | ROUGE (Recall-Oriented Understudy for Gisting Evaluation) 2015Snowball 2013 | Summarization Systems | TAC (Text Analysis Conference) | Text Summarization 2014


Discussion Summarization Based On Cross-Document Relation Using Model Selection Technique I ALMAHY, N SALIM, YJ KUMAR… – Advances in Neural …, 2014 – wseas.us … BC3 has been used in email summarization and in thread conversation summarization as well[16]. For evaluation process we have used the ROUGE measures (Recall-Oriented Understudy for Gisting Evaluation). 4.2 Classification Process … Cited by 1 Related articles

A Lemma Based Evaluator for Semitic Language Text Summarization Systems T El-Shishtawy, F El-Ghannam – arXiv preprint arXiv:1403.5596, 2014 – arxiv.org … This is often done by comparing the system summary to reference/human summary. ROUGE [8] stands for Recall-Oriented Understudy for Gisting Evaluation is a recall measure that counts the number of overlapping n-gram 1 units between the system summary generated by … Related articles All 2 versions

Extractive Text Summarization N Mittal, B Agarwal, H Mantri, RK Goyal, MK Jain – 2014 – inpressco.com … Finally, the final summary is generated. 4. Experiments and results We have used ROUGE-Recall Oriented Understudy for Gisting Evaluation toolkit to test the quality and completeness of the summaries produced by out summarizer. … Related articles

Automatic Arabic text summarization using clustering and keyphrase extraction HN Fejer, N Omar – Information Technology and Multimedia ( …, 2014 – ieeexplore.ieee.org … The Recall- Oriented Understudy for Gisting Evaluation (ROGUE) matrix used for the evaluation. … Nevertheless, at least one of the automatic methods, namely, recall-oriented understudy for gisting evaluation (ROUGE), is used by many research groups in the field. …

An Analysis on Student-Written Summaries: Automatic Assessment of Summary Writing SA Abdi, N Idris – erpublications.com … The system compares the student?s essay and the model essay to determine how similar they are. Lin [12] proposed an automatic summary assessment system named Recall-Oriented Understudy for Gisting Evaluation. It is used to assess quality of summary text. … Related articles

Study on Multi-document Summarization Based on Text Segmentation M Wang, X Tang, X Wang – Journal of Computers, 2014 – ojs.academypublisher.com … by the summarization system, . (2) ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. There are five different ROUGE measures: ROUGE-N, ROUGE-L, ROUGE-W, ROUGE- S and Rouge-Su. Three of them … Related articles All 3 versions

The Use of Semantic and Acoustic Features for Open-Domain TED Talk Summarization F Koto, S Sakti, G Neubig, T Toda, M Adriani… – isw3.naist.jp … We argue that Common evalua- tion like Recall-Oriented Understudy for Gisting Evaluation (ROUGE) and Longest Common Subsequence (LCS) have limitation for spontaneous speech because they are only based on the number of overlapping units such as n-gram and word … Related articles All 2 versions

A classification-based summarisation model for summarising text documents ME Hannah, S Mukherjee – International Journal of Information and …, 2014 – Inderscience … Since human judgement is expensive, in terms of resources, and is inconsistent, a need for an evaluation standard is a necessity. The CBS model is evaluated by two metrics: 1 CRs 2 recall-oriented understudy for gisting evaluation (ROUGE) metrics. 4.2.1 Compression ratios … Related articles All 2 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

Learning to rank-based gene summary extraction Y Shang, H Hao, J Wu, H Lin – BMC bioinformatics, 2014 – biomedcentral.com … gene ontology relevant score, topic relevant score and TextRank score; for sentences in the training set, compare the similarity between them and reference summaries, and then give a score from 0 to 4 using the recall-oriented understudy for gisting-evaluation (ROUGE) toolkit … Related articles All 9 versions

A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization J Li, S Li – … of the Association for Computational Linguistics, 2014 – tacl2013.cs.columbia.edu … As for the automatic evaluation of summa- rization, ROUGE (Recall-Oriented Understudy for Gisting Evaluation) measures, including ROUGE- 1, ROUGE-2, and ROUGE-SU47 and their corre- sponding 95% confidence intervals, are used to eval- uate the performance of the … Cited by 1 Related articles All 10 versions

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 … by humans. ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. It includes measures to automatically determine the quality of a summary by comparing it to other (ideal) summaries created by humans. The … Related articles

A hybrid machine learning model for multi-document summarization MA Fattah – Applied intelligence, 2014 – Springer … We used an intrinsic evaluation to judge the quality of a summary that was based on the recall-oriented understudy for gisting evaluation (ROUGE-1). The ROUGE scores have become the standard automatic method for evaluating the content of machine generated summaries. … Cited by 2 Related articles All 4 versions

A Margin-based Discriminative Modeling Approach for Extractive Speech Summarization SH Liu, KY Chen, B Chen, EE Jan, HM Wang, HC Yen… – iis.sinica.edu.tw Page 1. A Margin-based Discriminative Modeling Approach for Extractive Speech Summarization Shih-Hung Liu†*, Kuan-Yu Chen*, Berlin Chen#, Ea-Ee Jan? Hsin-Min Wang*, Hsu-Chun Yen†, Wen-Lian Hsu* * Institute of … Related articles

Text Summarization in the Biomedical Domain: A Systematic Review of Recent Research. BDS Rashmi Mishra, MPHJ Bian – researchgate.net Page 1. Page 1 Text Summarization in the Biomedical Domain: A Systematic Review of Recent Research. Rashmi Mishra, BDS, MPH1 Jiantao Bian, MS1,2 Marcelo Fiszman, MD, PhD3 Charlene R. Weir, BS, Ph.D., RN1, 4 Siddhartha Jonnalagadda, PhD5 …

A multi-document summarization system based on statistics and linguistic treatment R Ferreira, L de Souza Cabral, F Freitas… – Expert Systems with …, 2014 – Elsevier 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 in. Cited by 7 Related articles All 3 versions

A New Memetic Algorithm for Multi-document Summarization Based on CHC Algorithm and Greedy Search M Mendoza, C Cobos, E León, M Lozano… – … -Inspired Computing and …, 2014 – Springer … Evaluation of the quality of the summaries generated by the MA-MultiSumm me- thod was performed using metrics provided by the assessment tool ROUGE (Recall- Oriented Understudy for Gisting Evaluation) [24], version 1.5.5 (available on inter- net), which has been widely … Related articles

Text summarization in the biomedical domain: A systematic review of recent research R Mishra, J Bian, M Fiszman, CR Weir… – Journal of biomedical …, 2014 – Elsevier The amount of information for clinicians and clinical researchers is growing exponentially. Text summarization reduces information as an attempt to enable users. Cited by 1 Related articles All 4 versions

Effective pseudo-relevance feedback for language modeling in extractive speech summarization SH Liu, KY Chen, YL Hsieh, B Chen… – … , Speech and Signal …, 2014 – ieeexplore.ieee.org Page 1. EFFECTIVE PSEUDO-RELEVANCE FEEDBACK FOR LANGUAGE MODELING IN EXTRACTIVE SPEECH SUMMARIZATION Shih-Hung Liu*?, Kuan-Yu Chen*?, Yu-Lun Hsieh*, Berlin Chen#, Hsin-Min Wang*, Hsu … Cited by 2 Related articles All 8 versions

Approaches to Large-Scale User Opinion Summarization for the Web W Darling – Innovative Document Summarization Techniques: …, 2014 – books.google.com … ROUGE (Recall-Oriented Understudy for Gisting Evaluation) is the standard metric for automati- cally evaluating text summarization systems and is based on counting n-gram overlaps between the candidate summary and a set of references (Lin, 2004). … All 2 versions

Information Retrieval, NLP and Automatic Text Summarization JM Torres?Moreno – Automatic Text Summarization, 2014 – Wiley Online Library Page 1. Appendix 1 Information Retrieval, NLP and Automatic Text Summarization Natural language processing (NLP)1 and automatic text summarization (ATS) use several techniques from information retrieval (IR) , information extraction (IE) and text mining [BER 04, FEL 07]. … All 2 versions

Query-focused Multi-Document Summarization: Combining a Topic Model with Graph-based Semi-supervised Learning Y Li, S Li – aclweb.org … 1201 Page 6. 1 2 3 4 Figure 7: ROUGE score via (1)(2) topic number and (3)(4) parameter a on TAC2008. As for evaluation metrics, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation) (Lin, 2004) measures. … Cited by 1 Related articles All 3 versions

Multi-Topic Multi-Document Summarizer F El-Ghannam, T El-Shishtawy – arXiv preprint arXiv:1401.0640, 2014 – arxiv.org … One such system, Recall-Oriented Understudy for Gisting Evaluation (ROUGE) [14], is a recall measure that counts the number of overlapping n-gram units between the system summary generated by computer and several reference summaries produced by human. … Cited by 2 Related articles All 5 versions

Enhanced Language Modeling for Extractive Speech Summarization with Sentence Relatedness Information SH Liu, KY Chen, YL Hsieh, B Chen… – … Conference of the …, 2014 – mazsola.iit.uni-miskolc.hu … [35] Lin, CY, “ROUGE: Recall-oriented Understudy for Gisting Evaluation,” 2003. Available: http://haydn.isi.edu/ROUGE/. [36] Xie, S. and Liu, Y., “Using N-best lists and confusion networks for meeting summarization” IEEE Trans. … Related articles All 6 versions

A new sentence similarity assessment measure based on a three-layer sentence representation R Ferreira, RD Lins, F Freitas, SJ Simske… – Proceedings of the 2014 …, 2014 – dl.acm.org Page 1. A New Sentence Similarity Assessment Measure based on a Three-Layer Sentence Representation Rafael Ferreira Federal University of Pernambuco Recife, Pernambuco, Brazil rflm@cin.ufpe.br Rafael Dueire Lins … Related articles

TranslationRecall: A Translation Memory-based Method using Statistics in a Bilingual Corpus T Theeramunkong – 2014 – ict.siit.tu.ac.th … Also, the user interface of the program will be designed in order to make the usage become easier. 4.1.2 Performance result The comparison in term of aiding human translators in translation work using ROUGE (Recall- Oriented Understudy for Gisting Evaluation). … Related articles

Leveraging Effective Query Modeling Techniques for Speech Recognition and Summarization KY Chen, SH Liu, B Chen, EE Jan, HM Wang, WL Hsu… – qa.iis.sinica.edu.tw Page 1. Leveraging Effective Query Modeling Techniques for Speech Recognition and Summarization Kuan-Yu Chen *† , Shih-Hung Liu * , Berlin Chen # , Ea-Ee Jan + , Hsin-Min Wang * , Wen-Lian Hsu * , and Hsin-Hsi Chen † … Cited by 1 Related articles All 9 versions

Graph-based models for multi-document summarization E Canhasi – 2014 – lkm.fri.uni-lj.si Page 1. Graph-based models for multi-document summarization A DISSERTATION PRESENTED BY Ercan Canhasi TO The Faculty of Computer and Information Science in partial fulfilment of the requirements for the degree … Related articles

Multi-document summarization based on atomic semantic events and their temporal relationss MM Uddin – 2014 – uleth.ca … evaluation is not realistic. A more immediate measurement process is needed to speed up comparison between systems. Recall-Oriented Understudy for Gisting Evaluation (ROUGE) (Lin, 2004) can fulfil that demand. ROUGE scores are measured by co-occurrence2 be- …

Product aspect ranking and its applications ZJ Zha, J Yu, J Tang, M Wang… – Knowledge and Data …, 2014 – ieeexplore.ieee.org Page 1. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 26, NO. 5, MAY 2014 1211 Product Aspect Ranking and Its Applications Zheng-Jun Zha, Member, IEEE, Jianxing Yu, Jinhui Tang, Member … Cited by 7 Related articles All 14 versions

Metrics, statistics, tests T Sakai – Bridging Between Information Retrieval and Databases, 2014 – Springer Page 1. Metrics, Statistics, Tests Tetsuya Sakai Waseda University, Japan tetsuyasakai@acm. org Abstract. This lecture is intended to serve as an introduction to Information Retrieval (IR) effectiveness metrics and their usage in IR experiments using test collections. … Cited by 5 Related articles All 4 versions

Search engine reinforced semi-supervised classification and graph-based summarization of microblogs Y Chen, X Zhang, Z Li, JP Ng – Neurocomputing, 2014 – Elsevier There is an abundance of information found on microblog services due to their popularity. However the potential of this trove of information is limited by the l. Related articles

Automatic abstractive summarization of meeting conversations T Oya – 2014 – elk.library.ubc.ca … ix Glossary NLP Natural Language Processing POS Part of Speech MMR Maximal Marginal Relevance ROUGE Recall-Oriented Understudy for Gisting Evaluation CRF Conditional Random Field FQG Fragment Quotation Graph SVM Support Vector Machine DA Dialog Act … Related articles All 3 versions

Semantic Analysis for Improved Multi-document Summarization of Text QL Israel – 2014 – idea.library.drexel.edu Page 1. Semantic Analysis for Improved Multi-document Summarization of Text A Dissertation Submitted to the Faculty of Drexel University by Quinsulon L. Israel in partial fulfillment of the requirements for the degree of Doctor of Philosophy August 2014 Page 2. … Cited by 1 Related articles All 2 versions

Utilizing Graph-based Representation of Text in a Hybrid Approach to Multiple Documents Summarization MA Sayed – 2014 – dar.aucegypt.edu … evaluating dataset for our final system. We used the ROUGE system for evaluation which stands for Recall-Oriented Understudy for Gisting Evaluation. This system compare the automatic summaries to “ideal” human references. We … Related articles All 2 versions

Towards Large Scale Summarization J Christensen – homes.cs.washington.edu … the other automatic methods discussed, blind to linguistic quality. The most popular automatic metric for summary evaluation is ROUGE (Recall-Oriented Understudy for Gisting Evaluation) (Lin, 2004). ROUGE measures n-gram overlap be- … Related articles

Improving Text Summarization Using Fuzzy Logic MSA Babar – 2014 – researchgate.net … FIS Fuzzy Inference System TF Term Frequency DUC Document Understanding Conferences ROUGE Recall-Oriented Understudy for Gisting Evaluation TF- IDF Term Frequency-Inverse Document Frequency POS Tagging Part-of-Speech Tagging ix Page 10. Chapter 1 … Related articles All 2 versions

Developing a Collaborative MOOC Learning Environment utilizing Video Sharing with Discussion Summarization as Added-Value. M Al-Mousa, J Fiaidhi – International Journal of Multimedia & Ubiquitous …, 2014 – sersc.org … Finally, we evaluate our result using Recall-Oriented Understudy for Gisting Evaluation (ROUGH) metric to compare our automated summary with other human summaries. … 4 http://www.berouge.com/Pages/default.aspx Page 10. … Related articles All 3 versions

Automated summarization assessment system: quality assessment without a reference summary A Abdi, N Idris – 2014 – seekdl.org … students’ essays. Lin [14] proposed an automatic summary assessment system named ROUGE(Recall-Oriented Understudy for Gisting Evaluation), which is used to assess the quality of the summary text. The current system … Related articles All 4 versions

A Survey on Learning Crowdsourced User Preferences for Visual Summarization of Image Collections RT Waghmode, NJ Kulkarni – ijsr.net … BLEU compares a candidate translation with several human-generated reference translations using n-gram cooccurrence statistics. In [6] ROUGE (Recall-Oriented Understudy for Gisting Evaluation) measure is used for text summarization evaluation. … Related articles

Contextual Text Summarization for Content Processing in Mobile Learning G YANG – epublications.uef.fi … NLP – Natural Language Processing • QL – Query Likelihood Language Model • ROUGE – Recall-Oriented Understudy for Gisting Evaluation • TAC – Text Analysis Conference • TREC – Text REtrieval Conference • TTM – Two Tired Topic Model … Related articles

Rhetorical-state SVM for Lecture Speech Summarization I Zhang, H Yuan, X Pan – Information Technology Journal, 2014 – docsdrive.com … system. The summariZer’s performance is evaluated by the metric ROUGE (Recall Oriented Understudy for Gisting Evaluation) which can measure overlap units between automatic summaries and reference summaries. ROUGE … Related articles All 3 versions

Comparing Algorithms for Microblog Summarisation S Mackie, R McCreadie, C Macdonald… – Information Access …, 2014 – Springer … Low divergence [6] from the input document(s) by the produced summary is taken as a signal of an effective summary. 3 http://www.berouge.com 4 http://homepages. inf.ed.ac.uk/alouis/IEval2.html Page 4. 156 S. Mackie et al. … Cited by 1 Related articles All 8 versions

Twitter Trending Topics Meaning Disambiguation SC Han, H Chung, DH Kim, S Lee, BH Kang – … and Acquisition for Smart …, 2014 – Springer … 129 in twitter trending topics so Nichols summarises the sport events. All researches in trending topics summarisation applied ROUGE (Recall-Oriented Understudy for Gisting Evaluation) metrics, which is extremely popular evaluation method in automatic summarisation area. … Related articles All 3 versions

Twitter Trending Topics Meaning Disambiguation S Lee, BH Kang – … and Acquisition for Smart Systems and …, 2014 – books.google.com … sport events. All researches in trending topics summarisation applied ROUGE (Recall-Oriented Understudy for Gisting Evaluation) metrics, which is extremely popular evaluation method in automatic summarisation area. Those … Related articles

Multi-document Summarization of Twitter Microblogs using Latent Dirichlet Allocation and Phrase Reinforcement JSG Santos, MRE Estuar – dcs.adnu.edu.ph … summarizers are measured. ROUGE (Recall- Oriented Understudy for Gisting Evaluation) is a set of measures designed to compare the summaries produced algorithmically with summaries produced by a human [25]. The authors … Related articles

Extractive Multi Document Summarizer Alogorithim AS Zore, A Deshpande – International Journal of Computer Science & …, 2014 – ijcsit.com … The scores indicate that EMDS based on graph is able to generate summaries with a wider range of aspects than the other two systems. 1.2 ROUGE EVALUATION: ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. … Related articles All 3 versions

Multi-document Summarization Based on Sentence Clustering HT Zheng, SQ Gong, H Chen, Y Jiang… – Neural Information …, 2014 – Springer … (3) Centroid: The method uses MEAD algorithm to extract sentences according to the following three parameters: centroid value, positional value and 1 http://duc.nist.gov/ 2 http://www.berouge.com/Pages/default.aspx Page 6. 434 H.-T. Zheng et al. … Related articles

Survey on Opinion Mining and Summarization of User Reviews on Web VB Raut, DD Londhe – International Journal of Computer Science & …, 2014 – ijcsit.com … B. ROUGE metric for Opinion Summarization ROUGE (Recall-Oriented Understudy for Gisting Evaluation) metric compares automated summary generated by algorithm with set of reference summaries created by individuals. … Cited by 3 Related articles All 3 versions

A platform for language independent summarization LS Cabral, RD Lins, RF Mello, F Freitas… – Proceedings of the …, 2014 – dl.acm.org … The ROUGE (Recall-Oriented Understudy for Gisting Evaluation) [18] was used for assessing the quality of the summaries generated by the platform. It is a quantitative method based on n- gram statistics and it is highly correlated with human evaluations [19]. … Related articles

Document summarization based on word associations O Gross, A Doucet, H Toivonen – … of the 37th international ACM SIGIR …, 2014 – dl.acm.org … words. The evaluation measure is the well-known ROUGE (Recall-Oriented Understudy for Gisting Evaluation) [8]. We use the model summaries of the DUC datasets and their associated tools to compute the ROUGE measures. … Cited by 3 Related articles All 4 versions

Quantum Neural Network Based Machine Translator for Hindi to English R Narayan, VP Singh, S Chakraverty – The Scientific World Journal, 2014 – hindawi.com The Scientific World Journal is a peer-reviewed, open access journal covering a wide range of subjects in science, technology, and medicine. The journal’s Editorial Board as well as its Table of Contents are divided into 98 subject areas that are covered within the journal’s scope … Cited by 1 Related articles All 7 versions

An Abbreviation: The Factors Affecting Its Pronunciation B Kim – s-space.snu.ac.kr … form 23. FSPAAD (Fine Sun Pointing Attitude Anomaly Detection) ?acronym ?initialism ? hybrid form 24. ROUGE (Recall-Oriented Understudy for Gisting Evaluation) ?acronym ?initialism ? hybrid form 25. LEGION (Locally … Related articles

DRWS: A Model for Learning Distributed Representations for Words and Sentences C Yan, F Zhang – PRICAI 2014: Trends in Artificial Intelligence, 2014 – Springer … And every sen- tence is either used in its entirety or not at all for constructing a summary. The length of a result summary is limited by 250 tokens(whitespace delimited). The final result is evaluated by the ROUGE(Recall-Oriented Understudy for Gisting Evaluation) toolkit. … Related articles

A combinational method of fuzzy, particle swarm optimization and cellular learning automata for text summarization RA Ghalehtaki, H Khotanlou… – … Systems (ICIS), 2014 …, 2014 – ieeexplore.ieee.org … ROUGE (Recall-Oriented Understudy for Gisting Evaluation) toolkit Lin is the best tools for evaluating the text summarization methods [20]. ROUGE compares a summary is produced by system with summery is produced by human and measure their quality. … Related articles

Graph-Based Summarization without Redundancy HT Zheng, SZ Bai – Web Technologies and Applications, 2014 – Springer … TextRank. By using the idea of sentence 1 http://www-nlpir.nist.gov/projects/duc/data/ 2007data.html 2 http://www.berouge.com/Pages/default.aspx Page 10. 458 H.-T. Zheng and S.-Z. Bai Table 1. ROUGE values of different methods … Cited by 1 Related articles All 3 versions

Combining graph connectivity and genetic clustering to improve biomedical summarization HD Menéndez, L Plaza… – … Computation (CEC), 2014 …, 2014 – ieeexplore.ieee.org … Research in automatic evaluation of coherence is still very preliminary [58]. In this work, the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) package [14] is used to evaluate the informativeness of the automatic summaries. … Related articles All 2 versions

Entity-Based Filtering And Topic Detection For Online Reputation Monitoring In Twitter DS VALENTI, MIN LANGUAGES – files.figshare.com … xxiii Page 24. xxiv Abbreviations ROUGE Recall-Oriented Understudy for Gisting Evaluation R&S Reliability & Sensitivity RS Random Sampling SMO SVM Sequential Minimal Optimization Support Vector Machines SMS Short Message Service SVM Support Vector Machines … Related articles All 4 versions

Multi-document Summarization by Extended Graph Text Representation and Importance Refinement U Mirchev, M Last – Innovative Document Summarization …, 2014 – books.google.com … semantic closeness. We will use the ROUGE package (Lin, 2004) to automatically evaluate our multi-document summarization system. ROUGE is an abbrevia- tion of Recall-Oriented Understudy for Gisting Evaluation. It is a … Cited by 2 Related articles All 2 versions

On choosing an effective automatic evaluation metric for microblog summarisation S Mackie, R McCreadie, C Macdonald… – Proceedings of the 5th …, 2014 – dl.acm.org Page 1. On Choosing an Effective Automatic Evaluation Metric for Microblog Summarisation Stuart Mackie1, Richard McCreadie2, Craig Macdonald2, and Iadh Ounis2 School of Computing Science, University of Glasgow, G12 … Related articles All 7 versions

Gist of Text Extraction K Mahmoudi, S Faiz – Signal-Image Technology and Internet- …, 2014 – ieeexplore.ieee.org … To this end, the ROUGE-BE package [20] was exploited. ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation and BE for Basic Elements. Especially, we exploited the commonly used Rouge-2, Rouge-SU4 and BE. …

Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization E Canhasi, I Kononenko – Expert Systems with Applications, 2014 – Elsevier Most existing research on applying the matrix factorization approaches to query-focused multi-document summarization (Q-MDS) explores either soft/hard clusterin. Cited by 11 Related articles All 3 versions

Minimum redundancy and maximum relevance for single and multi-document Arabic text summarization H Oufaida, O Nouali, P Blache – Journal of King Saud University-Computer …, 2014 – Elsevier Automatic text summarization aims to produce summaries for one or more texts using machine techniques. In this paper, we propose a novel statistical summarizati. Related articles All 2 versions

A recurrent neural network language modeling framework for extractive speech summarization KY Chen, SH Liu, B Chen, HM Wang… – Multimedia and Expo …, 2014 – ieeexplore.ieee.org … Annual Conference of the International Speech Communication Association, pp. 901–904, 2005. [33] CY Lin, “ROUGE: Recall-oriented understudy for gisting evaluation.” 2003 [Online]. Available: http://haydn.isi.edu/ROUGE/. … Related articles All 4 versions

Multi-document summarization via Archetypal Analysis of the content-graph joint model E Canhasi, I Kononenko – Knowledge and Information Systems, 2014 – Springer Page 1. Knowl Inf Syst DOI 10.1007/s10115-013-0689-8 REGULAR PAPER Multi-document summarization via Archetypal Analysis of the content-graph joint model Ercan Canhasi • Igor Kononenko Received: 15 December … Cited by 2 Related articles All 2 versions

Multilingual Summarization Approaches K Sarkar – Computational Linguistics: Concepts, Methodologies, …, 2014 – books.google.com Page 182. 158 Chapter 9 Multilingual Summarization Approaches Kamal Sarkar Jadavpur University, India ABSTRACT As the amount of on-line information in the languages other than English (such as Chinese, Japanese, German … All 4 versions

From Text to Semantic Geodata Enrichment K Mahmoudi, S Faiz – … Journal of Agent Technologies and Systems ( …, 2014 – igi-global.com Page 1. 28 International Journal of Agent Technologies and Systems, 6(1), 28-44, January-March 2014 Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. ABSTRACT … Cited by 2 Related articles All 2 versions

Unsupervised document summarization from data reconstruction perspective Z He, C Chen, J Bu, C Wang, L Zhang, D Cai, X He – Neurocomputing, 2014 – Elsevier Due to its wide applications in information retrieval, document summarization is attracting increasing attention in natural language processing. A large body of. Related articles

Multi document summarization based on news components using fuzzy cross-document relations YJ Kumar, N Salim, A Abuobieda, AT Albaham – Applied Soft Computing, 2014 – Elsevier Online information is growing enormously day by day with the blessing of World Wide Web. Search engines often provide users with abundant collection of articles. Cited by 1 Related articles

Social Network Integration in Document Summarization A Farzindar – Innovative Document Summarization Techniques: …, 2014 – books.google.com Page 161. 139 Chapter 6 Social Network Integration in Document Summarization Atefeh Farzindar NLP Technologies Inc., Canada & Université de Montréal, Canada ABSTRACT In this chapter, the author presents the new role … All 3 versions

Im2Text and Text2Im: Associating Images and Texts for Cross-Modal Retrieval Y Verma, CV Jawahar – bmva.org … 3To compute BLEU scores, we use the code provided by NIST (version-13a). And to compute Rouge scores, we use Release-1.5.5 provided by http://www.berouge.com/Pages/default.aspx. Page 8. 8 Y. VERMA, CV JAWAHAR: CROSS-MODAL RETRIEVAL … Related articles All 5 versions

Data-driven annotation of binary MT quality estimation corpora based on human post-editions M Turchi, M Negri, M Federico – Machine translation, 2014 – Springer … 11 Monolingual stem-to-stem exact matches between TGT and correct_translation are inferred by com- puting the HTER, as in Blain et al. (2012). 12 All ROUGE scores, described in Lin (2004), have been calculated using the software available at http:// www.berouge.com. 123 … Cited by 1 Related articles All 2 versions

Summarization Of Icelandic Texts K Christiansen – 2014 – ru.is Page 1. SUMMARIZATION OF ICELANDIC TEXTS June 2014 Karin Christiansen Master of Science in Computer Science Page 2. Page 3. ENGLISH SUMMARIZATION OF ICELANDIC TEXTS Karin Christiansen Master of Science Computer Science June 2014 … Related articles All 3 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

Hot Topic Sensing, Text Analysis, and Summarization G Bouchard, S Clinchant… – Handbook of Research on …, 2014 – books.google.com Page 246. 216 Chapter 12 Hot Topic Sensing, Text Analysis, and Summarization Guillaume Bouchard Xerox Research Centre Europe, France Stephane Clinchant Xerox Research Centre Europe, France William Darling Microsoft … Cited by 1 Related articles All 2 versions

Mining the online social network data: Influence, summarization, and organization J Li – 2014 – digitalcommons.fiu.edu Page 1. FLORIDA INTERNATIONAL UNIVERSITY Miami, Florida MINING THE ONLINE SOCIAL NETWORK DATA: INFLUENCE, SUMMARIZATION, AND ORGANIZATION A dissertation submitted in partial fulfillment of the requirements for the degree of … Related articles All 2 versions

Automatic Medical Text Summarisation to Support Evidence-based Medicine A SARKER – science.mq.edu.au Page 1. Automatic Medical Text Summarisation to Support Evidence-based Medicine ABEED SARKER This thesis is presented for the degree of Doctor of Philosophy at the Centre for Language Technology Department of Computing Macquarie University NSW 2109 Australia … Related articles

Comparative news summarization using concept-based optimization X Huang, X Wan, J Xiao – Knowledge and information systems, 2014 – Springer Page 1. Knowl Inf Syst (2014) 38:691–716 DOI 10.1007/s10115-012-0604-8 REGULAR PAPER Comparative news summarization using concept-based optimization Xiaojiang Huang • Xiaojun Wan • Jianguo Xiao Received … Cited by 2 Related articles All 3 versions

Helpfulness-Guided Review Summarization W Xiong – 2014 – d-scholarship.pitt.edu Page 1. HELPFULNESS-GUIDED REVIEW SUMMARIZATION by Wenting Xiong BE in Information Engineering, Beijing University of Posts and Telecommunications, 2008 Submitted to the Graduate Faculty of the Kenneth P. Dietrich School of Arts and Sciences, … Related articles All 7 versions