Automatic Summarization & Neural Networks 2014


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Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network M Denil, A Demiraj, N Kalchbrenner, P Blunsom… – arXiv preprint arXiv: …, 2014 – arxiv.org … into their learning process, but also can be interpreted to produce a compelling automatic summarisation system for … [13], which uses a convolutional neural network (ConvNet for … A fundamental building block of nearly all applications of neural networks to NLP is the creation … Cited by 2 Related articles All 3 versions

Extractive summarization using continuous vector space models M Kågebäck, O Mogren, N Tahmasebi… – Proceedings of the …, 2014 – nlp3.cs.ntou.edu.tw … In such cases, automatic summarization is a way forward. In this paper we introduce a novel application of continuous vector representations to the prob- lem of multi-document summarization. … 3.1 Feed Forward Neural Network … Cited by 2 Related articles All 6 versions

Discussion Summarization Based On Cross-Document Relation Using Model Selection Technique I ALMAHY, N SALIM, YJ KUMAR… – … in Neural Networks, Fuzzy …, 2014 – wseas.us … Baseline CST Summary Advances in Neural Networks, Fuzzy Systems and Artificial Intelligence ISBN: 978-960-474-379-7 223 … Automatic summarization. in Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts of ACL 2011. … Cited by 1 Related articles

An Optimization Text Summarization Method Based on Naïve Bayes and Topic Word for Single Syllable Language HNT Thu – Applied Mathematical Sciences, 2014 – m-hikari.com … when we build automatic summarization system, automatic classification system, retrieval system… we … learning models are mentioned as: Naive Bayes, artificial neural networks, decision trees … Text summarization using neural network is presented since 2000’s, with the typical … Cited by 1 Related articles

Exploring actor–object relationships for query-focused multi-document summarization M Valizadeh, P Brazdil – Soft Computing, 2014 – Springer … In this paper, we have employed the feed- forward neural networks (NNs) in the learning process, as NNs are well-known and represent a quite successful learn- ing method. … Svore et al. (2007) proposed a summarization system that exploited a neural network. … Cited by 2 Related articles

A Survey on Automatic Text Summarization CS Saranyamol, L Sindhu – ijcsit.com … The automatic summarization of text is a well- known task in the field of natural … 2.1.6 Text summarization with neural networks This method involves training the neural networks to learn the … The neural network learns the patterns that are inherent in sentences and that should be … Related articles

Modelling ‚Visualising and Summarising Documents with a Single Convolutional Neural Network N de Freitas – 2014 – comlab.ox.ac.uk … Our model is based on an extended Dynamic Convolution Neural Network, which learns convolution filters at both the sentence and … not only provides insight into their learning process, but also can be interpreted to produce a compelling automatic summarisation system for …

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 … In this paper, we have proposed a novel and effective recurrent neural network language modeling (RNNLM) framework for extractive speech summarization. … [6] A. Nenkova and K. McKeown, “Automatic summarization,” Foundations and Trends in Information Retrieval, vol. … Related articles All 4 versions

A Survey on Existing Extractive Text Summarization Techniques N Arackal, PM Dhanya – 2014 – csidl.org … Automatic Summarization is the process of reducing a text document with a computer program in order to create a … G. Neural Network based method This method involves training the neural networks to learn the types of sentences that should be included in the summary. … Related articles

Survey on Extractive Text Summarization Approaches MS Patil, MS Bewoor, SH Patil – nci2tm.sinhgad.edu … to summarize such a large number of documents retrieved, without using automatic summarization. … In [4] author has compared the performance of neural networks and Support Vector … Results of the experiments conducted by author shows that neural network are slower than … Related articles

Text Summarization Using Fuzzy Logic MPD Patil, NJ Kulkarni – Paragraph, 2014 – ijirae.com … The automatic summarization means an automatically summarized output is given when an input is applied. Remember that input is well structured document. … Now a day’s neural networks are used to generate summary for single documents using extraction. … Related articles

An Approach for Summarizing Hindi Text Through a Hybrid Fuzzy Neural Network Algorithm J Anitha, P Prasad Reddy… – Journal of Information & …, 2014 – World Scientific … So automatic summarization will be an important tool for people who do not know English but want to read articles on the Internet precisely and also be an help to data an- alyst. … The proposed approach is a method based on two al- gorithm fuzzy classi¯er and neural network. … Related articles All 3 versions

Discrete Differential Evolution for Text Summarization S Karwa, N Chatterjee – Information Technology (ICIT), 2014 …, 2014 – ieeexplore.ieee.org … Vector Machine) [22], Genetic Algorithms (GA), mathematical regression (MR), feed forward neural networks (FFNN), probabilistic neural networks (PNN) and … 4, May 2009, Pages 7904-7916 [14] U. Hahn and I. Mani, “The challenges of automatic summarization,” IEEE Computer …

Improving Text Summarization using Fuzzy Logic & Latent Semantic Analysis MSA Babar, SA Thorat – 2014 – ijirae.com … The automatic summarization means an automatically summarized output is given when an input is applied. Remember that input is well structured document. … Now a day’s neural networks are used to generate summary for single documents using extraction. … Related articles

A Language Independent Hybrid Approach for Text Summarization V Gupta – Emerging Trends in Computing and Communication, 2014 – Springer … 191–198 5. Krishna RVVM, Kumar SYP, Reddy CS (2013) A hybrid method for query based automatic summarization system. … management, pp 554–559 9. http://tartarus.org/martin/ PorterStemmer/ 10.Kaikhah K (2004) Automatic text summarization with neural networks. … Related articles All 3 versions

A classification-based summarisation model for summarising text documents ME Hannah, S Mukherjee – International Journal of Information and …, 2014 – Inderscience … The proposed method delivers a platform to perform automatic summarisation of text through CBS means. … traditional statistical forms of analysis (such as multiple linear regression), a variety of data mining tools and techniques (such as neural networks), recently developed … Related articles All 2 versions

A Survey on Sentiment Analysis And Summarization For Prediction V Hole, M Takalikar – ijecs.in … For example, in a neural network for handwriting recognition, a set of input neurons may be activated by … literatures such as Pang and Lee [4][11][12], where as Artificial Neural Networks (ANN) have … [16] B. Sharifi, M.-A. Hutton, and JK Kalita, “Automatic summarization of Twitter … Related articles

Multi-document Summarization Using Bipartite Graphs D Parveen, M Strube – TextGraphs-9, 2014 – aclweb.org … for the features and used different classification technique for eg feed forward neural network, probablistic neural network and Gaussian … our bipartite graph captures more information than the general graphs used in earlier graph-based approaches to automatic summarization. … Related articles All 2 versions

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 … CST relations it holds. However the major limitation of the above works is that the CST relations need to be manually annotated by human experts; which is a drawback for an automatic summarization system. Our work, in contrast … Cited by 1 Related articles

Features extraction for soccer video semantic analysis: current achievements and remaining issues A Rehman, T Saba – Artificial Intelligence Review, 2014 – Springer … them through some itera- tions for event detection such as using neural networks (Rehman and … 2008), Circular Hough Transform using neural network classifier (D’Orazio et al. … The main objective of video summarization research is to access automatic summarization based on … Cited by 23 Related articles All 4 versions

Combining Semantics and Social Knowledge for News Article Summarization E Baralis, L Cagliero, S Jabeen, A Fiori… – Data Mining and …, 2014 – books.google.com … for being included in the text summary. The work presented in Kianmehr et al.(2009) compares the performance of summarization techniques based on SVMs and Neural Networks. More recently, the summarizer presented in … All 3 versions

A Method For Extracting Information From The Web Using Deep Learning Algorithm TD Orathanadu – Journal of Theoretical and Applied Information …, 2014 – jatit.org Page 1. Journal of Theoretical and Applied Information Technology 20th October 2014. Vol. 68 No.2 © 2005 – 2014 JATIT & LLS. All rights reserved. ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195 474 A METHOD FOR EXTRACTING INFORMATION FROM THE … Related articles

Automatically generating the weather news summary based on fuzzy reasoning and ontology techniques SM Chen, MH Huang – Information Sciences, 2014 – Elsevier … presented a method for automatic summarization of text based on combined words recognition and paragraph clustering. In [12], Kaikhah presented a machine learning approach which uses artificial neural networks to produce the summaries of arbitrary lengths of news articles … Related articles

Text to Multi-level MindMaps: A New Way for Interactive Visualization and Summarization of Natural Language Text M Elhoseiny, A Elgammal – arXiv preprint arXiv:1408.1031, 2014 – arxiv.org … both models. Then, Kaikhah et al [23] trained a Neural Network model from the labels and the features for each sentence of an article, that could infer the proper ranking of sentences in a test document. Other approaches use … Related articles All 2 versions

Information extraction based document visualization T Mala – 2014 – ir.inflibnet.ac.in … MS (2000), ‘Multi- document Summarization by Visualizing Topical Content’, ANLP- NAACL 2000 Workshop on Automatic Summarization, Seattle, WA … self-organization of document collections by semantic mapping’, Seventh Brazilian Symposium on Neural Networks, Sao Carlos … Related articles All 4 versions

The Research on Chinese Word Segmentation System with Semantic Annotations Information XY Cheng, W Kang, J Zhang, Q Shi – … International Conference on …, 2014 – atlantis-press.com … Other applications include machine translation, speech synthesis, automatic classification, automatic summarization, automatic proofreading, relationship extraction so … segmentation method is an intelligent process, including: expert system method, neural network method and … All 2 versions

Opinion Mining from online user reviews using fuzzy linguistic hedges MK Dalal, MA Zaveri – Applied Computational Intelligence and Soft …, 2014 – dl.acm.org … Automatic text classification is usually done by using a prelabeled training set and applying various machine learning methods such as Na?ve Bayesian [18], support vector machines [19], Artificial Neural Networks [20], or hybrid approaches [21, 22] that combine various … Cited by 2 Related articles All 4 versions

An Efficient Association Rule Mining For XML Data A Bharathi, K AnandaKumar – Karpagam Journal of Computer … – karpagamuniversity.edu.in … These needs are automatic summarization of data, extraction of the “essence” of information stored, and the discovery of patterns in raw data. … Neural Networks: Neural networks are data models that are meant to simulate cognitive functions. … Related articles

A Survey of Data Mining: Concepts with Applications and its Future Scope Z Khan, A Kumar, S Kumar – ijcstjournal.org … not enough for proper decision, it requires a tool for automatic summarization of data … Neighbour, Neural Network based (ANN), Genetic Algorithms based, Ruled based, and Support Vector Machine … a) Artificial neural networks: It is Non-linear predictive models that learn through … Related articles

A Novel Features Based Automated Gurmukhi Text Summarization System G Singh – 2014 – dspace.thapar.edu … by combining various recent approaches such as: statistical approach, neural network and sentences extraction. The system had extracted 83.03% of significant contents … The ranking algorithm used was RankNet, a pair-base neural network algorithm that uses gradient decent … Related articles

Improving Text Summarization Using Fuzzy Logic MSA Babar – 2014 – researchgate.net … 4 Page 14. C. Graph theoretic approach: D. Machine Learning approach: E. LSA Method: F.Text summarization with neural networks: G.Automatic text summarization based on fuzzy logic: H.Query based extractive text summarization: 1.1.6 Evaluating the Summary System: … Related articles All 2 versions

WOOF: user defined news recommendation system R Shi, A Daniel, F Yang, R Zeng, L Qiu, A Nair… – sifaka.cs.uiuc.edu … Thus, under cur- rent knowledge, ie if the understanding of the parameter choice is unclear, it would seem that the neural network method is … 4.4 Automatic Summarization In order to find a good summarization tool for our project to deliver concise news summary to our users, we … Related articles

Novel Text Summarization Techniques for Contextual Advertising G Armano, A Giuliani – Innovative Document Summarization …, 2014 – books.google.com … The research on automatic summarization is characterized by three important aspects:(i) sum- maries may be produced from a single … for single and multi-document summarization, such as Bayesian statistics (Blei, 2006)(Mcargar 2004)(Kraaij, 2001) or neural networks (Wang et … All 2 versions

The Research and Improvement of MapReduce Cluster Scheduling Strategy Based on Ant Colony Optimization YP Zhang, J Qin, Z Zhai – Applied Mechanics and Materials, 2014 – Trans Tech Publ … from aqueous solutions was examined using corn stalk. In the batch mode adsorption studies, the effects… 1950. Study on Wind Speed Prediction Based on Rbf Neural Network. Authors: Feng Wang, Zhi Zhong Tan, De You Liu … All 2 versions

The S3C2440’s Camera Interface Driver Development Based on Embedded Linux Z Dong, SZ Chen, ZH Wei – Applied Mechanics and Materials, 2014 – Trans Tech Publ … search on permanent magnet synchronous motor servo system, analyzed the main… 1465. Study on Wind Speed Prediction Based on Rbf Neural Network. Authors: Feng Wang, Zhi Zhong Tan, De You Liu, Xiang Dong Qian. … All 2 versions

Identifying Abbreviations in Biomedical Literature Based on Maximum Entropy with Web Features J Peng, Y Wang, HM Sun – Advanced Materials Research, 2014 – Trans Tech Publ … Authors: Chun Xiang Zhang, Li Li Guo, Xue Yao Gao. Chapter 2: Information Science and Information Technologies. Abstract: Word sense disambiguation is widely applied to information retrieval, semantic comprehension and automatic summarization. It is an important… 157. … All 2 versions

Feature Scope of Data mining Applications Comparative Study CHS Rao – ijcsee.org.uk … is simply not enough, it requires a tool for automatic summarization of data … to the data analysis approach used such as machine learning, neural networks, genetic algorithms … may be Statistical Algorithms, Decision Tree based, Nearest Neighbor, Neural Network based, Genetic … Related articles

Word Sense Disambiguation Based on Center Window CX Zhang, LL Guo, XY Gao – Advanced Materials Research, 2014 – Trans Tech Publ … Word sense disambiguation is widely applied to information retrieval, semantic comprehension and automatic summarization. It is an important research problem in natural language processing. … In Proceedings of the 23rd International Conference on Artificial Neural Networks. … Related articles All 2 versions

A Novel Data mining Technique to Discover Patterns from Huge Text Corpus MYM Alzarrous, MSP Mishra – ijmer.com … These needs are automatic summarization of data, extraction of the “essence” of information stored, and the discovery of patterns in raw … This has been aided by other discoveries in computer science, such as neural networks, clustering, genetic algorithms in the 1950s, Decision … Related articles

SPASS: A Scientific Paper Writing Support System M Ptaszynski, F Masui – researchgate.net … One of the disadvantages of using standard classification algorithms, such as SVM, or Neural Networks, making them inapplicable in … In future we will perform automatic summarization of sentence templates to increase the readability and informativeness of the descriptions. … Related articles All 2 versions

Bengali noun phrase chunking based on conditional random fields K Sarkar, V Gayen – Business and Information Management ( …, 2014 – ieeexplore.ieee.org … For question-answering, information extraction, text mining and automatic summarization, phrases that give us information about time, places … Ghose, “Machine Learning Based Keyphrase Extraction: Comparing Decision Trees, Naive Bayes and Artificial Neural Networks,” Int J … Related articles

Data Mining Techniques SM Ali, MRR Tuteja – 2014 – ijcsmc.com … the data retrieval is simply not enough, it requires a tool for automatic summarization of data … Data mining techniques such as neural networks are able to model the relationships that exist in data … Fig: 2 Neural Network with hidden layers It is shown in fig.2. Artificial neural network … Related articles All 2 versions

Automated human behavior analysis from surveillance videos: a survey D Gowsikhaa, S Abirami, R Baskaran – Artificial Intelligence Review, 2014 – Springer … objects and human motion from surveillance videos, followed by automatic summarization of its … is frequently done using advanced techniques like training models such as neural networks. … using Support Vector machine (SVM), Hidden Markov Model (HMM) or a neural network. … Cited by 9 Related articles All 3 versions

Text to Multi-level MindMaps: A Novel Method for Hierarchical Visual Abstraction of Natural Language Text M Elhoseiny, A Elgammal – researchgate.net … Then, Kaikhah et al [24] trained a Neural Network model from the labels and the features for each sentence of an article, that could infer Page 5. Title Suppressed Due to Excessive Length 5 the proper ranking of sentences in a test document. … Related articles

Visualizing Demographics Based on Micro-blogger Tracking: Twitter Case Study K Ahmed, N El Tazi, A Hossny – ICCTA 2014, 2014 – researchgate.net … [4] YA Winatmoko, and ML Khodra, “Automatic Summarization of Tweets in … [13] M. Ghiassi, J. Skinner, and D. Zimbra, “Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network,” Expert Systems with Applications, vol. 40, no. … Related articles All 2 versions

Keyword extraction: a review of methods and approaches S Beliga – inf.uniri.hr … of the document is the core task of many IR and NLP applications include automatic indexing, automatic summarization, document management … document, and frequency appearing in the paragraphs of the given document in the combination with Neural Networks are proposed … Related articles All 3 versions

Translation rescoring through recurrent neural network language models Á PERIS ABRIL – 2014 – riunet.upv.es … 2. Parallelization of the Recurrent Neural Network Toolkit 67 4.2.3. Bidirectional Recurrent Neural Networks … Recurrent neural network unfolded in time … is a wide range of applications referred to Natural Language Processing, such as automatic summarization, discourse analysis … Related articles

Fast Recursive Biomedical Event Extraction X Liu, A Bordes, Y Grandvalet – 2014 – hds.utc.fr … 77 Training Objective and Method . . . . . 77 Neural Network Architecture . . . . . … Many tasks are proposed for texts like automatic summarization, machine translation, question answering, sentiment analysis, information retrieval, etc. … Related articles

Domain Terminology Collection for Semantic Interpretation of Sensor Network Data M Hwang, J Kim, J Gim, S Song, H Jung… – International Journal of …, 2014 – hindawi.com … such as {Content determination, Information retrieval, Languageware, Concept mining, Document classification, Text mining, Automatic summarization, String kernel … For example, CA (Data mining) = {Extension neural network, Big data, Data classification (business intelligence … Related articles All 2 versions

Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition M Moghimi, P Azagra, L Montesano… – Computer Vision and …, 2014 – ieeexplore.ieee.org … to be focused on life logging and its ap- plications [14] which naturally motivates the development of automatic summarization techniques such … Convolutional Neural Network (CNN) Based Image Representation … ImageNet clas- sification with deep convolutional neural networks. … Cited by 1 Related articles All 6 versions

Deep Multi-Instance Transfer Learning D Kotzias, M Denil, P Blunsom, N de Freitas – arXiv preprint arXiv: …, 2014 – arxiv.org … that many low level NLP tasks can be solved effectively with convolutional neural networks [6] and … We adopt this convolutional neural network in our work. … as it allows for a more efficient visualisation of documents, explores causality, and aids towards automatic summarisation. … Related articles All 5 versions

Rhetorical Figuration as a Metric in Text Summarization M Alliheedi, C Di Marco – Advances in Artificial Intelligence, 2014 – Springer … Several researchers in text summarization used Machine Learning methods such as Naive Bayes in [13], Neural Networks in [24], and Hidden Markov Models in [6 … In: Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization, Seattle, Washington, vol. … Cited by 1 Related articles All 4 versions

Applications of Data Mining Methods in the Integrative Medical Studies of Coronary Heart Disease: Progress and Prospect Y Feng, Y Wang, F Guo, H Xu – Evidence-Based Complementary and …, 2014 – hindawi.com … And there is a good prospect using artificial neural network in the study … Traditional machine learning methods described above, such as neural networks, Bayes network … text; (2) easy for semantic information retrieval, information extraction, automatic summarization extracts, and … Related articles All 8 versions

The American Local News Corpus A Irvine, J Langfus, C Callison-Burch – clsp.jhu.edu … turk.pdf} }. improving deep neural network acoustic models using generalized maxout networks Xiaohui Zhang, Jan Trmal, Daniel Povey and Sanjeev Khudanpur ICASSP2014 – 2014. [abstract] [bib]. Abstract. Recently, maxout … Related articles All 6 versions

Comparison on Different Data Mining Algorithms AJ Chamatkar, PK Butey – 2014 – ijcseonline.org … To take complete advantage of data; the data retrieval is simply not enough, it requires a tool for extraction of the essence of information stored, automatic summarization of data and the discovery of patterns in raw data. … Her research area is Data Mining and Neural Network. … Related articles

A Bipartite-Graph Based Approach for Disaster Susceptibility Comparisons among Cities W Zhou, C Shen, T Li, SC Chen, N Xie, J Wei – users.cs.fiu.edu … [5] AM Olligschlaeger, “Artificial neural networks and crime … Budzikowska, “Centroid-based sum- marization of multiple documents: sentence extraction, utility-based evaluation, and user studies,” in Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization. … Related articles All 5 versions

Compression-based normal similarity measures for DNA sequences PJSG Ferreira, AJ Pinho – Acoustics, Speech and Signal …, 2014 – ieeexplore.ieee.org … of the Int. Conf. on Artificial Neural Networks, ICANN 2009, Limassol, Cyprus, 2009. … 106–116, Springer Berlin Heidelberg. [5] AR Cohen, CS Bjornsson, S. Temple, G. Banker, and B. Roysam, “Automatic summarization of changes in biological image sequences using … Related articles All 3 versions

Prioritising engineering characteristics based on customer online reviews for quality function deployment J Jin, P Ji, Y Liu – Journal of Engineering Design, 2014 – Taylor & Francis … An automatic summarisation approach was seen to analyse the topic structure of online reviews (Zhan, Loh … A neural network was built to learn a preference function for all possible document … to Rank by a Neural Preference Function.” IEEE Transactions on Neural Networks 22 (9 … Related articles All 2 versions

A conceptual model for text summarisation based on reader requirements JL Hou, YJ Chen – Journal of Experimental & Theoretical Artificial …, 2014 – Taylor & Francis … [Web of Science ®] View all references), neural network analysis (Jordehia & … In order to meet distinct reader requirements for summarisation, this research develops an automatic summarisation methodology that takes reader requirements into consideration. 3. Methodology. … Related articles

A Sentence Vector Based Over-Sampling Method for Imbalanced Emotion Classification T Chen, R Xu, Q Lu, B Liu, J Xu, L Yao, Z He – … Linguistics and Intelligent …, 2014 – Springer … The idea of using neural networks to represent words in vector space was proposed by … Mikolov et al.[17] pointed out that neural network based methods are better … Vector representation of sentence is widely investigated in automatic summarization, topic discovery, information … Cited by 1 Related articles

A Survey of Various Techniques used for Free Text Evaluation R Gurung – irphouse.com … takes as input a source document or multiple source documents, processes it using a computer program that performs an automatic summarization and produces … 3 different algorithms namely Face Recognition Algorithms, Artificial Neural Networks, Hidden Markov Models [5]. … 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 … Particle swarm optimization. In Proceedings of the IEEE international conference on neural networks, 27 November–1 December, Perth, Australia (pp. 1942–1948). … [13] Mani, I. (2001). Automatic summarization. Amsterdam: John Benjamins Publishing Company. [14] ML Tsetlin. … Related articles

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 … Extracting Semantic Information from Speech, Wiley, 2011. [6] A. Nenkova and K. McKeown, “Automatic summarization,” Foundations and Trends in Information Retrieval, 5(2–3):103–233, 2011. [7] H. Christensen, Y. Gotoh and S … Related articles

[BOOK] Natural Language Processing of Semitic Languages I Zitouni – 2014 – Springer … 174 5.5. 5 Neural Network Language Models….. 175 5.5. … 353 11.5 Summary….. 366 References….. 367 12 Automatic Summarization….. … Cited by 3 Related articles All 4 versions

Summarisation of short-term and long-term videos using texture and colour J Carvajal, C McCool… – Applications of Computer …, 2014 – ieeexplore.ieee.org … Figure 3 shows the qualitative results for the automatic summarisation provided by VSUMM and VISON as well as our proposed BoT and CaT systems. … In In- ternational Joint Conference on Neural Networks (IJCNN), pages 1–8, 2012. … Related articles All 9 versions

Extractive single-document summarization based on genetic operators and guided local search M Mendoza, S Bonilla, C Noguera, C Cobos… – Expert Systems with …, 2014 – Elsevier … Neural networks (Svore et al., 2007) and Conditional Random Fields (Shen et al., 2007) are also used. … A particular focus based on graphs is that proposed by Wan (2010), in which the automatic summarization of one and of multiple documents is carried out at the same time … Cited by 5 Related articles All 4 versions

Scan: an approach to label and relate execution trace segments S Medini, V Arnaoudova, M Di Penta… – Journal of Software: …, 2014 – Wiley Online Library … algorithms. Neuroph§§ is a lightweight Java neural network framework to develop common neural network architectures. It includes a library of neural network concepts and a user interface to create, train, and save networks. Pooka … Cited by 4 Related articles All 10 versions

Proactive News Article Summarization Service Using Personal Intention Models IS Oh, JE Lee, KJ Kim – Evolutionary and Institutional Economics Review, 2014 – jlc.jst.go.jp … length of sentences, # of paragraphs, # of characters and # of sentences are important reasons to get the automatic summarization service. … The multi- layer perceptron as an approximation to a Bayes optimal discriminant function,” IEEE Transactions on Neural Networks 1.4: 296 … Related articles

Language Independent Summarization Approaches F Hmida – Innovative Document Summarization Techniques: …, 2014 – books.google.com … Centrality position redundancy Redundan ()= ++ cy summary Other studies have chosen to use the Hidden Markov Models and neural networks. … Projected on automatic summarization, this method means that the text is represented by a graph whose vertices represent … All 3 versions

Introduction to Cognitive Systems P Érdi, M Bányai – geza.kzoo.edu … published.28 An early successful application was an (artificial) neural network to predict … constraints that are less general than rules and are encoded in neural networks. … related more to syntactic analysis, while sentiment analysis and automatic summarisation needs semantic … Related articles

A lifelog browser for visualization and search of mobile everyday-life KS Hwang, SB Cho – Mobile Information Systems, 2014 – hindawi.com … It supports the basis for easy development of concept inquiry, natural language question, automatic diary generation and automatic summarization function to convert low-level information into high-level using concept network and location positioning system. … Related articles All 4 versions

[BOOK] International Symposium on Fuzzy Systems, Knowledge Discovery and Natural Computation (FSKD 2014) D Zhang – 2014 – books.google.com Page 1. August 19–21, 2014 Xiamen, China INTERNATIONAL SYMPOSIUM on FUZZY SYSTEMS, KNOWLEDGE DISCOVERY and NATURAL COMPUTATION FSKDNC 2014 Page 2. 2014 International Symposium on Fuzzy … Related articles

Distributional Semantics For Robust Automatic Summarization JCK Cheung – 2014 – cs.mcgill.ca … 1.2 Semantics in Automatic Summarization Perhaps surprisingly, current automatic summarization systems do not make use of rich se- … Centrality in Automatic Summarization In this chapter, I discuss properties and characteristics that contribute to the definition of impor- …

[BOOK] Automatic Text Summarization JMT Moreno – 2014 – books.google.com … 1.1. The need for automatic summarization 1.2. Definitions of text summarization 1.3. … Genre, specialized documents andautomatic summarization 6.2. Automatic summarization and organic chemistry 6.3. Automatic summarization and biomedicine 6.4. … Related articles

Learning to rank-based gene summary extraction Y Shang, H Hao, J Wu, H Lin – BMC bioinformatics, 2014 – biomedcentral.com … When applied to automatic summarization, the task of learning to rank is as follows: for a given query and its relevant documents, the ranking … in which document lists are used as instances in learning, and the listwise loss function is called ListNet, with the neural network as the … Related articles All 9 versions

With a little help from my friends C Cusano, S Santini – Multimedia tools and applications, 2014 – Springer … the apprentice, the design of h enjoys a useful property: the part defined by g is independent of the apprentice, so that it can be computed off-line allowing for the adoption of complex (and hopefully accurate) machine learning models such as SVMs, neural networks, and the like … Related articles All 7 versions

A Complete Bibliography of ACM Transactions on Multimedia Computing, Communications and Applications NHF Beebe – 2014 – tug.ctan.org … networking [FKFB05]. Networks [LCL14, BDV08, BRA+09, GS11b, HH12b, HH11a, HH11c, LS05, LLP06, LCK09, LCSX11]. neural [LWL08]. neural-network-based [LWL08]. news [LLW+13, OBBW12, SWH06]. next [SSTK07, She13]. NextSlidePlease [SLKS12]. … Related articles All 10 versions

Automatic Summarization of Soccer Highlights Using Audio-visual Descriptors A Raventos, R Quijada, L Torres, F Tarres – arXiv preprint arXiv:1411.6496, 2014 – arxiv.org … Abstract1 Automatic summarization generation of sports video content has been object of great interest for many years. … Afterwards, the system applies a support vector machine and an artificial neural network algorithm for emphasizing important segments with logo appearance. … Related articles All 2 versions

Quantitative Aspects of Journal of Quantitative Linguistics R Chen, H Liu – Journal of Quantitative Linguistics, 2014 – Taylor & Francis … tamil articles. Journal of Quantitative Linguistics, 16(2), 115–131.10.1080/ 09296170902734156 [Taylor & Francis Online], [Web of Science ®] View all references) also uses neural networks for authorship attribution. But these … Related articles All 2 versions

Web Mining for the Integration of Data Mining with Business Intelligence in Web-Based Decision Support Systems MA Domingues, AM Jorge, C Soares… – Integration of Data …, 2014 – books.google.com … namic recommendations (eg, pages, ser- vices, etc) for each web user (Anand, & Mobasher, 2003); • Categorization/Clustering of Content: Content data can be used to categorize/ cluster web pages into topic directories (Chakrabarti, 2000); • Automatic Summarization of Content … All 2 versions

Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis A Balahur, M Turchi – Computer Speech & Language, 2014 – Elsevier Sentiment analysis is the natural language processing task dealing with sentiment detection and classification from texts. In recent years, due to the growth in. Cited by 19 Related articles All 3 versions

Design and Implementation of a Knowledge Acquisition System for Automated Ontology Synthesis; based on Natural Language Processing including Methods … BSA Schwenk – 2014 – nt.fh-koeln.de … KEYWORDS: Artificial Intelligence, Artificial Neural Networks (Supervised Learning), Com- … A0 Axioms ANN Artificial Neural Network ASCII American Standard Code for … Automatic summarization (?) • Machine Translation • Natural language generation • Natural language … Related articles

A Semantic Approach to Summarization D Bhartiya, A Singh – arXiv preprint arXiv:1406.1203, 2014 – arxiv.org … language at both syntactic and semantic levels, and the ever-growing size of the information available through internet has regrown the interest of NLP researchers in automatic summarization techniques during … Fast semantic extraction using a novel neural network architecture … Related articles All 3 versions

A hybrid method for extracting relations between Arabic named entities I Boujelben, S Jamoussi, AB Hamadou – Journal of King Saud University- …, 2014 – Elsevier … Abstract. Relation extraction is a very useful task for several natural language processing applications, such as automatic summarization and question answering. In this paper, we present our hybrid approach to extracting relations between Arabic named entities. … Related articles All 3 versions

Applications of Named Entity Recognition in Cus-tomer Relationship Management Systems FS Jadidian – 2014 – ru.nl Page 1. Applications of Named Entity Recognition in Cus- tomer Relationship Management Systems Farbod Saraf Jadidian September 2014 Dissertation submitted in partial fulfilment for the degree of Master of Science in Information Science … Related articles

Automated text summarization: An overview M Ramezani, MR Feizi-Derakhshi – Applied Artificial Intelligence, 2014 – Taylor & Francis … 2001 . Automatic summarization . Paper presented at the ACL/EACL’01 , Toulouse, France , July 9–11 . … Summarizing scientific articles-experiments with relevance and rhetorical status . Computation Linguistics , 28 : 409 – 445 . Special Issue on Automatic Summarization . … Cited by 1 Related articles All 5 versions

Developing a mobile application for local community awareness based on social networking data S Ali – 2014 – aaltodoc.aalto.fi Page 1. Developing a Mobile Application for Local Community Awareness Based on Social Networking Data Master’s Thesis, Department of Surveying and Planning Aalto University, School of Engineering Espoo 08.12.2014 Saheryar Ali …

Automatic summarization of risk factors preceding disease progression an insight-driven healthcare service case study on using medical records of diabetic patients PYS Hsueh, XX Zhu, MJH Hsiao, SYF Lee, V Deng… – World Wide Web, 2014 – Springer Page 1. Automatic summarization of risk factors preceding disease progression an insight-driven healthcare service case study on using medical records of diabetic patients Pei-Yun S. Hsueh & Xin Xin Zhu & Mark JH Hsiao … Related articles

A tree-based learning approach for document structure analysis and its application to web search FC Pembe, T Güngör – Natural Language Engineering – Cambridge Univ Press … We also analyzed the effect of document structuring on automatic summarization in the context of Web search. … In this approach, we analyzed the effect of structural information in automatic summarization using English document collections and queries. … Related articles All 3 versions

Deciding Polarity of Opinions over Multi-Aspect Customer Reviews NF Kayaalp – 2014 – etd.ohiolink.edu Page 1. Deciding Polarity of Opinions over Multi-Aspect Customer Reviews A thesis presented to the faculty of the Russ College of Engineering and Technology of Ohio University In partial fulfillment of the requirements for the degree Master of Science Naime F. Kayaalp …

Evaluating the Effect of Preprocessing in Arabic Documents Clustering OAF Ghanem, M Alhanjouri – library.iugaza.edu.ps Page 1. Page 2. Islamic University, Gaza, Palestine Research and Graduate Affairs Faculty of Engineering Computer Engineering Department Evaluating the Effect of Preprocessing in Arabic Documents Clustering Osama Abdel Fattah Ghanem Supervisor … Related articles

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 1 Related articles All 2 versions

Identification of Informativeness in Text using Natural Language Stylometry R Shams – 2014 – ir.lib.uwo.ca Page 1. Western University Scholarship@Western University of Western Ontario – Electronic Thesis and Dissertation Repository September 2014 Identification of Informativeness in Text using Natural Language Stylometry Rushdi Shams The University of Western Ontario … Related articles

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

Towards Large Scale Summarization J Christensen – homes.cs.washington.edu … BACKGROUND Researchers have studied automatic summarization extensively, with earliest works dat- ing back half a century ago (Luhn, 1958). … models (Conroy and O’leary, 2001), log-linear models (Osborne, 2002), and neural networks (Svore et al., 2007). Svore et al. … Related articles

Condensing Information: From Supervised To Crowdsourced Learning R Sipos – 2014 – ecommons.library.cornell.edu Page 1. CONDENSING INFORMATION: FROM SUPERVISED TO CROWDSOURCED LEARNING A Dissertation Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by … Related articles All 3 versions

Utilizing Graph-based Representation of Text in a Hybrid Approach to Multiple Documents Summarization MA Sayed – 2014 – dar.aucegypt.edu … The authors present NetSum which is a new approach to automatic summarization using neural net. … RankNet is a pair-based neural network algorithm that rank a set of inputs which consists of sentences in the given document. … Related articles All 2 versions

Profile-Based Summarisation for Web Site Navigation A Alhindi, U Kruschwitz, C Fox, MD Albakour – csee.essex.ac.uk Page 1. 0 Profile-Based Summarisation for Web Site Navigation Azhar Alhindi1 , University of Essex Udo Kruschwitz2 , University of Essex Chris Fox3 , University of Essex M-Dyaa Albakour4 , University of Glasgow Information … Related articles All 3 versions