ROUGE (Recall-Oriented Understudy for Gisting Evaluation) 2017


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100 Best GitHub: Automatic Summarization


Assessing Query Translation Quality Using Back Translation in Hindi-English CLIR
G Chandra, SK Dwivedi – International Journal of Intelligent …, 2017 – search.proquest.com
… 215222, International Association for Machine Translation Press September 26, 2013. [60] CY Lin, ROUGE: Recall-oriented understudy for gisting evaluation.1- 12, 2003. http://berouge.com/. [61] P. Virga. and S. Khudanpur …

Quantifying the informativeness for biomedical literature summarization: An itemset mining method
M Moradi, N Ghadiri – Computer methods and programs in biomedicine, 2017 – Elsevier
… generates the final summary. Results. We evaluate the performance of our itemset-based summarizer using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metrics, performing a set of experiments. We compare the …

Cat swarm optimization based evolutionary framework for multi document summarization
R Rautray, RC Balabantaray – Physica A: Statistical Mechanics and its …, 2017 – Elsevier
Skip to main content …

Automatic Arabic Summarization: A survey of methodologies and systems
LM Al Qassem, D Wang, Z Al Mahmoud… – Procedia Computer …, 2017 – Elsevier
… of documents. 3.2. Recall-Oriented Understudy for Gisting Evaluation (ROUGE) Recall-Oriented Understudy for Gisting Evaluation (ROUGE), is a package of metrics, widely used for automatic summary evaluation [30]. The general …

A Semantic QA-Based Approach for Text Summarization Evaluation
P Chen, F Wu, T Wang – arXiv preprint arXiv:1704.06259, 2017 – arxiv.org
… Dissimilarity [Wang 2016]. ROUGE (Recall-Oriented Understudy for Gisting Evaluation) is perhaps the most widely adopted automatic summarization evaluation tool. It determines the quality of a summary by comparing it with …

Multi-document Text Summarization Using Sentence Extraction
R Ahuja, W Anand – Artificial Intelligence and Evolutionary Computations …, 2017 – Springer
… The single document summaries and multi-document summaries generated by the system are evaluated against the gold summaries given in DUC 2002 dataset using ROUGE 2.0. ROUGE 2.0 is recall-oriented understudy for Gisting Evaluation 2.0 …

Multi-Document Summarization using Distributed Bag-of-Words Model
K Mani, I Verma, L Dey – arXiv preprint arXiv:1710.02745, 2017 – arxiv.org
… 10.916 16.320 3.2 Evaluation Metric We run the ROUGE (Recall-Oriented Understudy for Gisting Evaluation) metrics (Lin, 2005) which has been widely adopted by DUC for automatic summarization evaluation. ROUGE measures …

Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach
JM Sanchez-Gomez, MA Vega-Rodríguez… – Knowledge-Based …, 2017 – Elsevier
… Experiments have been performed based on datasets from Document Understanding Conference (DUC) and model performances have been evaluated with Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metrics, as is usual in this knowledge field …

Post Summarization of Microblogs of Sporting Events
M Gillani, MU Ilyas, S Saleh, JS Alowibdi… – Proceedings of the 26th …, 2017 – dl.acm.org
… In addition, we also report results of all three variants of the recall-oriented understudy for gisting evaluation (ROUGE) software, a tool which compares and scores automatically generated summaries against standard summaries. 1. INTRODUCTION …

Comparison of Document Index Graph Using TextRank and HITS Weighting Method in Automatic Text Summarization
F Hadyan, MA Bijaksana – Journal of Physics: Conference …, 2017 – iopscience.iop.org
… and improvement that could be made. ROUGE or recall-oriented understudy for gisting evaluation is an evaluation method that measure text similarity based on n-gram similarity between text [13]. ROUGE is a unit to compared …

The ROUGE-AR: A Proposed Extension to the ROUGE Evaluation Metric for Abstractive Text Summarization
S Maples – stanford.edu
… between X and Y. The third and most commonly used metric for summary evaluation is ROUGE (Recall-Oriented Understudy for Gisting Evaluation), which was introduced by DUC in 2003. [2] It is a package of metrics that is based …

Multi-document summarization using evolutionary multi-objective optimization
C Jung, R Datta, A Segev – Proceedings of the Genetic and Evolutionary …, 2017 – dl.acm.org
… DUC2002 dataset contains 59 topics with 5 to 10 doc- uments included in each topic. Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metric is used to verify our experi- mental results against the gold standard summaries generated by human annotators …

Query Focused Multi-document Summarization Based on Five-Layered Graph and Universal Paraphrastic Embeddings
E Canhasi – Computer Science On-line Conference, 2017 – Springer
… Experiments are conducted on the DUC 2005 data sets and the ROUGE (Recall-Oriented Understudy for Gisting Evaluation) evaluation results demonstrate the advantages of the proposed approach. Keywords. Multidocument …

WHICH EXTRACTIVE SUMMARIZATION METHOD FOR MALAY TEXTS?
B Ranaivo-Malançon, H Iboi – pdfs.semanticscholar.org
… (5) Extract-E Edmundson extractive summary (6) Extract-LR LexRank Extractive summary Evaluation Metric ROUGE-N The metric ROUGE (Recall-Oriented Understudy for Gisting Evaluation) (Lin, 2004) has been selected as it is widely-used for measuring summary …

Two-level text summarization from online news sources with sentiment analysis
TB Mirani, S Sasi – Networks & Advances in Computational …, 2017 – ieeexplore.ieee.org
… The Recall-Oriented Understudy for Gisting Evaluation (ROUGE) was used for calculating the performance metrics of the summaries [13]. A. Comparison of News Topics The news topics used in this research are Politics, Sports, Health, Science and Movie Reviews …

TOPSIS with Multiple Linear Regression for Multi-Document Text Summarization
S Malallah, ZH Ali – ijs.scbaghdad.edu.iq
… The proposed model is evaluated using dataset supplied by the Text Analysis Conference (TAC-2011) for English documents. The performance of the proposed model is evaluated using Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metric …

Overview of the NLPCC 2017 Shared Task: Single Document Summarization
L Hua, X Wan, L Li – National CCF Conference on Natural Language …, 2017 – Springer
… We used ROUGE [3] for automatic evaluation metric. ROUGE is the shorthand of Recall-Oriented Understudy for Gisting Evaluation, and contains a set of metrics used for automatic document summarization, machine translation evaluation and other tasks in NLP …

TVPRNN for image caption generation
L Yang, H Hu – Electronics Letters, 2017 – IET
… Four popular evaluation measures are adopted including Microsoft Common Objects on Context (MSCOCO) validate toolkit Recall-Oriented Understudy for Gisting Evaluation-Longest (ROUGE_L), Consensus-based Image Description Evaluation (CIDEr), Metric for Evaluation …

An Overview of Statistical Machine Translation Tools
MA Mir Aadil – pdfs.semanticscholar.org
… level and not at corpus level like BLEU. 4) ROUGE: Recall-Oriented Understudy for Gisting Evaluation (ROUGE) can be used for evaluation of machine translation. The metrics compare an automatically produced translation …

Deep Learning in the Domain of Multi-Document Text Summarization
RK Roul, JK Sahoo, R Goel – International Conference on Pattern …, 2017 – Springer
… respectively. The Recall-Oriented Understudy for Gisting Evaluation (ROUGE) score 6 of ML-ELM with extractive gold summary and human-written gold summary on both datasets are shown in Tables 5 and 6 respectively. For …

An automated scoring approach for Arabic short answers essay questions
H Rababah, AT Al-Taani – Information Technology (ICIT), 2017 …, 2017 – ieeexplore.ieee.org
… formula: Mark = Similarity-Value * Mark (8) D. Evaluation using ROUGE The proposed approach is evaluated using ROUGE (Recall- Oriented Understudy for Gisting Evaluation) which proposed by Lin and Hovy [13][14]. ROUGE …

AUTOMATED ANSWER EVALUATION BASED ON SEMANTIC ANALYSIS
V Prakash, I Mukherjee – ijcea.com
… measure of LCS (Longest Common Subsequence) to find the similarity between documents. It was later used in ROGUE (Recall- Oriented Understudy for Gisting Evaluation). It is used to automatically detect the quality of a summary …

BEATnIk: an algorithm to Automatic generation of educational description of movies
V Woloszyn, GM Machado, JPM de Oliveira… – Brazilian Symposium on …, 2017 – br-ie.org
… 5.3. Evaluation Metric The evaluation was performed by applying ROUGE (Recall-Oriented Understudy for Gisting Evaluation) [Lin 2004], which is a metric inspired on the Bilingual Evaluation Understudy (BLEU) [Saggion and Poibeau 2013] …

Using Topic Labels for Text Summarization
W Kou, F Li, Z Ye – … Conference on Industrial, Engineering and Other …, 2017 – Springer
… 4.2 Evaluation Metrics. ROUGE (Recall-Oriented Understudy for Gisting Evaluation) measure is used to evaluate the effectiveness of our method. Specifically ROUGE-1, ROUGE-2 and ROUGE-3 are used. These measures correlate well with human judgement in general …

Textual Entailment Using Machine Translation Evaluation Metrics
T Saikh, SK Naskar, A Ekbal, S Bandyopadhyay – researchgate.net
… ROUGE: Recall-Oriented Understudy for Gisting Evaluation (ROUGE) [24] is an automatic metric for machine generated summary evaluation which is based on the notion of unigram matching between the candidate summary and human summary …

POS-Tagging Enhanced Korean Text Summarization
W Liu, L Wang – International Conference on Intelligent Computing, 2017 – Springer
… Above time complexity is acceptable in the practical KTS application. 4 Experiment. 4.1 Evaluation and Corpus. The classical evaluation measure of ROUGE (recall-oriented understudy for gisting evaluation) and associated evaluation methodology are applied …

Text summarization based on classification using ANFIS
YJ Kumar, FJ Kang, OS Goh, A Khan – Asian Conference on Intelligent …, 2017 – Springer
… In our ongoing work, we are attempting to train the ANFIS classifier on larger data samples to generate summaries and evaluate the summaries using ROUGE (Recall Oriented Understudy for Gisting Evaluation)–a standard evaluation metric for summarization. Notes …

Abstractive Summarization with Global Importance Scores
S Roy, V Nguyen – stanford.edu
… Figure 3: Training vs evaluation loss for our baseline++ model (train = purple, eval = blue) 4.4 Evaluation In order to evaluate our model, we ran our generated summaries against the reference summaries using ROUGE, or Recall-Oriented Understudy for Gisting Evaluation …

Query Focused Multi document Summarization Based on the Multi facility Location Problem
E Canhasi – Computer Science On-line Conference, 2017 – Springer
… For evaluation we used the Recall Oriented Understudy for Gisting Evaluation (ROUGE) evaluation package [13], which compares various summary results from several summarization methods with summaries generated by humans …

Extractive Based Automatic Text Summarization.
SM Patel, VK Dabhi, HB Prajapati – JCP, 2017 – jcomputers.us
… MEADeval compares the system summary to a reference summary (or “ideal” summary). 4.2.3. Recall-oriented understudy for gisting evaluation (ROUGE) ROUGE is a tool and set of metrics used for evaluation of automatic summarization in natural language processing …

Text Understanding with a Hybrid Neural Network Based Learning
S Gao, H Zhang, K Gao – International Conference of Pioneering …, 2017 – Springer
… Word count of sentence. 20. Convolutional kernels. 4. GRU layer size. 3. 4.2 Evaluating Metrics. ROUGE. ROUGE is the abbreviation of Recall-Oriented Understudy for Gisting Evaluation, and it is a set of metrics used for evaluating automatic summarization and machine translation …

CS585 Project Report Long Text Summarization using Neural Networks and Rule-Based Approach
S Liu – 2017 – shujianliu.com
… 4.4 ROUGE Package for Evaluation ROUGE [12] is short for Recall-Oriented Understudy for Gisting Evaluation. It is a package of several methods which can automatic evaluate similarity between text and summary. 4.4.1 ROUGE-N …

Using semantic folding with TextRank for automatic summarization
S Karlsson – 2017 – diva-portal.org
… 24 LSA Latent Semantic Analysis. 15–17 PoS Part of Speech. 3, 12, 18, 19, 21, 23, 28, 29, 32, 34, 35 ROUGE Recall-Oriented Understudy for Gisting Evaluation. 2, 25, 26, 29, 30, 46–48 tf term frequency. 9, 19, 22, 23, 25, 28–32, 34, 47, 48 vii Page 10. Glossary …

Insights from CL-SciSumm 2016: the faceted scientific document summarization Shared Task
K Jaidka, MK Chandrasekaran, S Rustagi… – International Journal on …, 2017 – Springer
… Recall-Oriented Understudy for Gisting Evaluation is a set of metrics to automatically evaluate summarization sys- tems [12]. ROUGE measures the overlap between computer- generated summaries and multiple human-written reference summaries …

Comparative Study Between Two Swarm Intelligence Automatic Text Summaries
MA Boudia – Handbook of Research on Biomimicry in Information …, 2017 – books.google.com
… The Evaluation Measure Recall: Oriented Understudy for Gisting Evaluation The evaluation of abstracts can be done semi-automatically through measures of similarities computed between a candidate summary and one or more reference summaries …

Different approaches for identifying important concepts in probabilistic biomedical text summarization
M Moradi, N Ghadiri – Artificial intelligence in medicine, 2017 – Elsevier
… performance of biomedical summarization. Using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) toolkit, we perform extensive evaluations on a corpus of scientific papers in the biomedical domain. The results show …

A Survey of Extractive Arabic Text Summarization Approaches
S Lagrini, M Redjimi, N Azizi – International Conference on Arabic …, 2017 – Springer
… subjects to be included in the summary. ROUGE (Recall-Oriented Understudy for Gisting Evaluation) [13] is a prominent measure that involves the differences between words distribution. It consists of a package that includes …

Text summarization techniques: A brief survey
M Allahyari, S Pouriyeh, M Assefi, S Safaei… – arXiv preprint arXiv …, 2017 – arxiv.org
… 7.3.1 ROUGE. Lin [35] introduced a set of metrics called Recall- Oriented Understudy for Gisting Evaluation (ROUGE) to automat- ically determine the quality of a summary by comparing it to hu- man (reference) summaries …

Performance of Opinion Summarization towards Extractive Summarization
H Iboi, S Chua, B Ranaivo-Malançon… – Journal of …, 2017 – journal.utem.edu.my
… G. Evaluation Metric In this comparative study, the generated opinion summary is evaluated by using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) toolkit by calculating the overlapping of words between the opinion summaries and the extractive summaries …

SUMMARIZATION OF SOFTWARE ARTIFACTS: A
S Gupta, SK Gupta – aircconline.com
… ROUGE (Recall Oriented Understudy for Gisting Evaluation): It is recall oriented metric for evaluation of summaries by comparing the automatically generated summaries against the reference summaries by calculating the number of overlapping units like N-Grams …

Automatic Debate Text Summarization in Online Debate Forum
AD Chowanda, AR Sanyoto, D Suhartono… – Procedia Computer …, 2017 – Elsevier
… Both human annotators are bachelor degree students majoring in English. The testing is done with the ROUGE (Recall-Oriented Understudy for Gisting Evaluation) metrics. The system Page 7. Alan Darmasaputra Chowanda et al. / Procedia Computer Science 116 (2017) 11–19 …

Improving text summarization using neuro-fuzzy approach
M Azhari, Y Jaya Kumar – Journal of Information and …, 2017 – Taylor & Francis

Summarizing Lengthy Questions
T Ishigaki, H Takamura, M Okumura – Proceedings of the Eighth …, 2017 – aclweb.org
… neural networks. We compared the performance of these methods through evalu- ations both by human judges and automatic scor- ing using Recall-Oriented Understudy for Gisting Evaluation (ROUGE) (Lin, 2004). The experi …

Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments.
L Xu, C Zhang – AAAI, 2017 – aaai.org
… 3 terms. The details of the datasets after pre-processing are summarized in Table 1. Evaluation Metrics We take ROUGE (Recall-Oriented Understudy for Gisting Evaluation) as our main evaluation criterion. The summa- rization …

The CL-SciSumm Shared Task 2017: Results and Key Insights
K Jaidka, MK Chandrasekaran, D Jain, MY Kan – ceur-ws.org
… ROUGE scoring was used for CL-SciSumm 17, for Tasks 1a and Task 2. Recall-Oriented Understudy for Gisting Evaluation (ROUGE) is a set of met- rics used to automatically evaluate summarization systems [12] by measuring the overlap between computer-generated …

Query-based multi-documents summarization using linguistic knowledge and content word expansion
A Abdi, N Idris, RM Alguliyev, RM Aliguliyev – Soft Computing, 2017 – Springer
… for text summarization. Lin (2004) proposed the automatic summary assessment system named Recall-Oriented Understudy for Gisting Evaluation, which is used to assess the quality of the summary text. The current system …

A Combination Method for Improving Text Summarization
Z Mashreghi, M Esmaeili – International Journal of Computer …, 2017 – search.proquest.com
A Combination Method for Improving Text Summarization. Abstract. As the volume of online and electronic information increasingly has grown, quickly and accurately access to these important resources is a big challenge. Text …

Combining Object-Based Attention and Attributes for Image Captioning
C Li, J Chen, W Wan, T Li – International Conference on Image and …, 2017 – Springer
… 379–387 (2016)Google Scholar. 14. Lin, C.: Recall-oriented understudy for gisting evaluation (ROUGE), 20 August 2005Google Scholar. 15. Papineni, K., Roukos, S., Ward, T., Zhu, WJ: BLEU: a method for automatic evaluation of machine translation …

A similarity-based abstract argumentation approach to extractive text summarization
S Ferilli, A Pazienza, S Angelastro, A Suglia – Conference of the Italian …, 2017 – Springer
… We followed the same experimental protocol as defined in the MultiLing 2015 challenge in which two variants of the ROUGE (Recall-Oriented Understudy for Gisting Evaluation) [13] measure were used to quantitatively evaluate the generated summaries …

Leveraging manifold learning for extractive broadcast news summarization
SH Liu, KY Chen, B Chen, HM Wang… – Acoustics, Speech and …, 2017 – ieeexplore.ieee.org
… Linguistics and Chinese Language Processing, vol. 10, no. 2, pp. 219–236, 2005. [35] C.-Y. Lin, “ROUGE: Recall-oriented Understudy for Gisting Evaluation,” 2003. Available: http://haydn.isi.edu/ROUGE/. [36] JH Lee et al., “Automatic …

An E-Commerce Customer Service Robot Based on Intention Recognition Model
MPC Tang, YQX Deng – Mobile Commerce: Concepts …, 2017 – books.google.com
… Evaluation Setup Three evaluation methods were employed to evaluate the proposed robot and its working processes. The methods include F3 and Recall-Oriented Understudy for Gisting Evaluation (ROUGE)[Cui et al. 2007]. The F3 method is based on a manual examination …

Intra-relation or inter-relation?: exploiting social information for web document summarization
MT Nguyen, ML Nguyen – Expert Systems with Applications, 2017 – Elsevier
… This method achieves 0.483 in ROUGE-2 7 (Recall-Oriented Understudy for Gisting Evaluation: 1-gram or 2-gram based co-occurrence statistics of output summary and gold-standard references) and 0.419 in F-1 on DUC 2001 dataset …

ATSSC: Development of an approach based on soft computing for text summarization
MA Tayal, MM Raghuwanshi, LG Malik – Computer Speech & Language, 2017 – Elsevier
Skip to main content …

Deep Image Captioning: Models, Data and Evaluation
I Hrga – inf.uniri.hr
… for gaps and differences in word order. ROUGE (Recall-Oriented Understudy for Gisting Evaluation) [42] is a package of measures originally developed for the evaluation of text summaries. For the purpose of image captioning …

Sentence Ordering Using Cluster Correlation and Probability in Multi-documents Summarization
A Guna, IGA Socrates, SN Fauziah… – Jurnal Ilmu Komputer dan …, 2017 – neliti.com
… Evaluation method The evaluation of automatic summarization is use ROUGE (Recall Oriented Understudy for Gisting Evaluation) method. ROUGE-N measures the ratio of n-grams between the candidate summary and the set of reference summaries …

SEL: A unified algorithm for salient entity linking
S Trani, C Lucchese, R Perego, DE Losada… – Computational … – Wiley Online Library
By continuing to browse this site you agree to us using cookies as described in About Cookies. Remove maintenance message …

A survey on: Extractive text document summarization techniques
CS Yadav, R Kumar, PSS Aydav, HP Singh – advancedjournal.com
… Hence it is sometimes difficult to judge the quality of a summary. For evaluation most researcher using the “Recall Oriented Understudy for Gisting Evaluation” (ROUGE) introduces by Lin [46] and this has been officially adopted by DUC for summarizer evaluation …

Multiview convolutional neural networks for multidocument extractive summarization
Y Zhang, MJ Er, R Zhao… – IEEE transactions on …, 2017 – ieeexplore.ieee.org
… learning ability. We evaluate our new model on five Document Understanding Conference (DUC) generic summa- rization benchmark datasets using Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metric. The …

A brief survey of text mining: Classification, clustering and extraction techniques
M Allahyari, S Pouriyeh, M Assefi, S Safaei… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques Mehdi Allahyari Computer Science Department University of Georgia Athens, GA mehdi@uga.edu Seyedamin Pouriyeh Computer Science …

A knowledge-based semantic approach for image collection summarization
ZR Samani, ME Moghaddam – Multimedia Tools and Applications, 2017 – Springer
… Evaluation metrics like ROUGE (recall-oriented understudy for gisting evaluation) [39] in the domain of text summarization and VERT (Video Evaluation by Relevant Threshold) [36] in the domain of video summarization were proposed …

Exploring Teacher Forcing Techniques for Sequence-to-Sequence Abstractive Headline Summarization
C Albert – 2017 – developingideas.me
Page 1. Exploring Teacher Forcing Techniques for Sequence-to-Sequence Abstractive Headline Summarization Corbin Albert Supervisor: Dr. Natasa Milic-Frayling A dissertation presented for the degree of Masters of Computer Science and Artificial Intelligence …

Performance analysis of keyword extraction algorithms assessing extractive text summarization
A Kumar, A Sharma, S Sharma… – Computer …, 2017 – ieeexplore.ieee.org
… time. The execution time is measured in seconds. ROUGE (Recall-Oriented Understudy for Gisting Evaluation) metrics is a set of metrics that is popularly used for the evaluation of automatically generated text summaries. The …

An Innovative Approach of Bangla Text Summarization by Introducing Pronoun Replacement and Improved Sentence Ranking.
M Haque, S Pervin, Z Begum – Journal of Information …, 2017 – search.ebscohost.com
… methods. Moreover, our approach has shown better performance from the four latest existing methods [6,7,10,24] based on ROUGE (Recall Oriented Understudy for Gisting Evaluation) [26] evaluation scores. 3. Proposed Method …

The challenging task of summary evaluation: an overview
E Lloret, L Plaza, A Aker – Language Resources and Evaluation, 2017 – Springer
… For determining the quality of an automated summary based on sequences of words the most popular system is called ROUGE (Lin 2004b). Its name stands for Recall-Oriented Understudy for Gisting Evaluation and it was inspired by BLEU (Papineni et al …

A Comprehensive Method for Automating Test Collection Creation and Evaluation for Retrieval and Summarization Systems
MP Ekstrand-Abueg – 2017 – search.proquest.com
… to this is to look at short xed-length phrases of words, known as n-grams for some number of words n. For example, a bigram is an n-gram of length 2. The most popular evaluation method of this type is known as ROUGE, the Recall-Oriented Understudy for Gisting Evaluation [51 …

A Position-Aware Language Modeling Framework for Extractive Broadcast News Speech Summarization
SH Liu, KY Chen, YL Hsieh, B Chen… – ACM Transactions on …, 2017 – dl.acm.org
Page 1. 27 A Position-Aware Language Modeling Framework for Extractive Broadcast News Speech Summarization SHIH-HUNG LIU, National Taiwan University KUAN-YU CHEN and YU-LUN HSIEH, Academia Sinica BERLIN …

Automatic Summarization of Fiction by Generating Character Descriptions
W Zhang – 2017 – digitool.library.mcgill.ca
… F = (1 + ?2)PR ?2P + R Where ? is a weighting variable balancing Precision and Recall (? is typically 1). • ROUGE Recall-Oriented Understudy for Gisting Evaluation (ROUGE) is proposed to evaluate summarization results (Lin, 2004). Rather than counting sentences …

Multilingual extension and evaluation of a poetry generator
HG Oliveira, R Hervás, A Díaz… – Natural Language …, 2017 – cambridge.org
Page 1. Natural Language Engineering: page 1 of 39. c Cambridge University Press 2017 doi:10.1017/S1351324917000171 1 Multilingual extension and evaluation of a poetry generator ? HUGO GONC¸ ALO OLIVEIRA1, RAQUEL …

Automated text summarisation and evidence-based medicine: A survey of two domains
A Sarker, D Molla, C Paris – arXiv preprint arXiv:1706.08162, 2017 – arxiv.org
Page 1. Automated text summarisation and evidence-based medicine: A survey of two domains ABEED SARKER and DIEGO MOLL ´A, Macquarie University C ´ECILE PARIS, CSIRO Australia The practice of evidence-based …

Exploiting User-Generated Content to Enrich Web Document Summarization
MT Nguyen, DV Tran, CX Tran… – International Journal on …, 2017 – World Scientific
… task using classification with features,4,29 the combination of classification and latent semantic analysis,6 or sequence labeling with a set of features.7 They have achieved promising results, eg 0.483 in ROUGE-2d (Recall-Oriented Understudy for Gisting Evaluation: 1-gram or 2 …

Text summarization from legal documents: a survey
A Kanapala, S Pal, R Pamula – Artificial Intelligence Review, 2017 – Springer
… 3.4.1 Evaluation metrics ROUGE (Lin 2004) means Recall-Oriented Understudy for Gisting Evaluation. It automat- ically measures the quality of human generated summary by using its measures based on n-gram co-occurrence statistics …

Query Focused Summary Generation System using Unique Discourse Structure
CN Subalalitha, R Parthasarathi – International Journal of Information …, 2017 – igi-global.com
… achieved an average score of 1.75. The evaluation of the proposed work is also done by using Recall-Oriented Understudy for Gisting Evaluation (ROUGE) Scores (Lin & Chin-Yew, 2004) . ROUGE evaluates the quality of a …

Social Context Summarization using User-generated Content and Third-party Sources
MT Nguyen, DV Tran, ML Nguyen – Knowledge-Based Systems, 2017 – Elsevier
… This method achieves 0.483 of ROUGE-2 3 (Recall-Oriented Understudy for Gisting Evaluation: 1-gram or 2-gram based co-occurrence statistics of output summary and gold-standard references) and 0.419 of F-1 on DUC 2001 …

Automatic Text Summa
GA Birhanu – 2017 – etd.aau.edu.et
… IR Information Retrieval LW Logarithm weight NLP Natural Language Processing OTS Open Text Summarizer P Precision R Recall ROUGE Recall Oriented Understudy for Gisting Evaluation SF significance factor TF term frequency W weight Page 11. 1 | P age CHAPTER ONE …

Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples
P Vougiouklis, H Elsahar, LA Kaffee, C Gravier… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples Pavlos Vougiouklisa, Hady Elsaharb, Lucie-Aimée Kaffeea, Christoph Gravierb, Frederique Laforestb, Jonathon Harea, Elena Simperla …

Methods of sentence extraction, abstraction and ordering for automatic text summarization
MT Nayeem – 2017 – uleth.ca
… AUTOMATIC TEXT SUMMARIZATION : A RECENT OVERVIEW 2.1.3 Automatic Summary Evaluation ROUGE (Recall-Oriented Understudy for Gisting Evaluation)1 is an automatic tool to determine the quality of a machine generated summary by comparing it against a refer …

How far we can go with extractive text summarization? Heuristic methods to obtain near upper bounds
WM Wang, Z Li, JW Wang, ZH Zheng – Expert Systems with Applications, 2017 – Elsevier
… In particular, ROUGE (Recall-Oriented Understudy for Gisting Evaluation) is a package of informativeness evaluation measures that automatically determine the quality of a particular system summary by comparing it to other gold standard summaries (Lin, 2004) …

Product review summarization through question retrieval and diversification
M Liu, Y Fang, AG Choulos, DH Park, X Hu – Information Retrieval Journal, 2017 – Springer
Product reviews have become an important resource for customers before they make purchase decisions. However, the abundance of reviews makes it difficult for customers to digest them and make informed.

Automatic summarization of corporate disclosures
E Cardinaels, S Hollander, BJ White – 2017 – papers.ssrn.com
… Intrinsic evaluation, on the other hand, considers the content of the summary relative to a benchmark or reference summary. ROUGE (Recall-Oriented Understudy for Gisting Evaluation) is the most commonly used intrinsic evaluation system (Nenkova and McKeown 2011) …

Automatic Neural Question Generation using Community-based Question Answering Systems
T Baghaee – 2017 – uleth.ca
Page 1. AUTOMATIC NEURAL QUESTION GENERATION USING COMMUNITY- BASED QUESTION ANSWERING SYSTEMS TINA BAGHAEE Bachelor of Science, Shahid Beheshti University, 2011 A Thesis Submitted to the …

Explainable Recommendations
RC Kanjirathinkal – 2017 – cs.cmu.edu
Page 1. Thesis Proposal Explainable Recommendations Rose Catherine Kanjirathinkal November 2017 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Thesis Committee: Prof. William W. Cohen, Chair, Carnegie Mellon University Prof …

Entity-Centric Discourse Analysis and Its Applications
X Wang – 2017 – repository.kulib.kyoto-u.ac.jp
Page 1. Title Entity-Centric Discourse Analysis and Its Applications( Dissertation_ ?? ) Author(s) Wang, Xun Citation Kyoto University (????) Issue Date 2017-11-24 URL https://dx.doi.org/10.14989/doctor.k20777 Right The …

Investigating Citation Linkage Between Research Articles
KH Houngbo – 2017 – ir.lib.uwo.ca
Page 1. Western University Scholarship@Western Electronic Thesis and Dissertation Repository July 2017 Investigating Citation Linkage Between Research Articles Kokou Hospice Houngbo The University of Western Ontario …

Event Identification in Social Media using Classification-Clustering Framework
N Alsaedi – 2017 – orca.cf.ac.uk
… NMI Normalized Mutual Information ROC Receiver Operating Characteristics ROUGE Recall-Oriented Understudy for Gisting Evaluation PR Phrase Reinforcement MDS Multi-Document Summarization PRF Pseudo Relevance Feedback DTM Decay Topic Model …

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