شماره مدرك :
15787
شماره راهنما :
14093
پديد آورنده :
مروج، وحيد
عنوان :

استفاده از شبكه‌هاي مولد تخاصمي شرطي در خلاصه‌سازي متن

مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
هوش مصنوعي
محل تحصيل :
اصفهان : دانشگاه صنعتي اصفهان
سال دفاع :
1399
صفحه شمار :
دوازده، 67 ص. : مصور، جدول
استاد راهنما :
عبدالرضا ميرزايي
استاد مشاور :
مهران صفاياني
توصيفگر ها :
خلاصه‌سازي متن , افزونگي , يادگيري عميق , شبكه‌هاي مولد تخاصمي شرطي , خلاصه‌سازي استخراجي
استاد داور :
مريم ذكري،مازيار پالهنگ
تاريخ ورود اطلاعات :
1399/07/07
كتابنامه :
كتابنامه
رشته تحصيلي :
مهندس كامپيوتر
دانشكده :
مهندسي برق و كامپيوتر
تاريخ ويرايش اطلاعات :
1399/07/07
كد ايرانداك :
2629870
چكيده انگليسي :
۶۵ 11 John M Conroy and Dianne P O leary Text summarization via hidden markov models In Pro ceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval pages 406 407 ACM 2001 12 Kamal Sarkar Mita Nasipuri and Suranjan Ghose Using machine learning for medical docu ment summarization International Journal of Database Theory and Application 4 1 31 48 2011 13 Krysta Svore Lucy Vanderwende and Christopher Burges Enhancing single document sum marization by combining ranknet and third party sources In Proceedings of the 2007 joint conference on empirical methods in natural language processing and computational natural language learning EMNLP CoNLL pages 448 457 2007 14 Christopher Burges Tal Shaked Erin Renshaw Ari Lazier Matt Deeds Nicole Hamilton and Gregory N Hullender Learning to rank using gradient descent In Proceedings of the 22nd International Conference on Machine learning ICML 05 pages 89 96 2005 15 You Ouyang Wenjie Li Sujian Li and Qin Lu Applying regression models to query focused multi document summarization Information Processing Management 47 2 227 237 2011 16 K Shivakumar and Rab Soumya Text summarization using clustering technique and svm tech nique International Journal of Applied Engineering Research 10 12 28873 28881 2015 17 MS Patil MS Bewoor and SH Patil A hybrid approach for extractive document summarization using machine learning and clustering technique International Journal of Computer Science and Information Technologies 5 2 1584 1586 2014 18 Albaraa Abuobieda Naomie Salim Yogan Jaya Kumar and Ahmed Hamza Osman An im proved evolutionary algorithm for extractive text summarization In Asian Conference on Intel ligent Information and Database Systems pages 78 89 Springer 2013 19 Ren Arnulfo Garc a Hern ndez and Yulia Ledeneva Single extractive text summarization based on a genetic algorithm In Mexican Conference on Pattern Recognition pages 374 383 Springer 2013 20 Marzieh Berenjkoub and Maziar Palhang Persian text summarization using a supervised ma chine learning approach In Proceedings of the Robocup IranOpen Symposium and 2nd Irans Joint Conference of Robotics and AI Tehran Iran 2012 21 Linqing Liu Yao Lu Min Yang Qiang Qu Jia Zhu and Hongyan Li Generative adversarial network for abstractive text summarization In Thirty second AAAI conference on artificial intelligence 2018 22 Romain Paulus Caiming Xiong and Richard Socher A deep reinforced model for abstractive summarization arXiv preprint arXiv 1705 04304 2017 23 Ramesh Nallapati Bowen Zhou Caglar Gulcehre Bing Xiang et al Abstractive text summa rization using sequence to sequence rnns and beyond arXiv preprint arXiv 1602 06023 2016 24 Rashmi Mishra Jiantao Bian Marcelo Fiszman Charlene R Weir Siddhartha Jonnalagadda Javed Mostafa and Guilherme Del Fiol Text summarization in the biomedical domain a sys tematic review of recent research Journal of biomedical informatics 52 457 467 2014 25 Sheng hua Zhong Yan Liu Bin Li and Jing Long Query oriented unsupervised multi Expert systems with applications document summarization via deep learning model 42 21 8146 8155 2015 26 Yoshua Bengio et al Learning deep architectures for ai Foundations and trends in Machine Learning 2 1 1 127 2009 27 Mahmood Yousefi Azar and Len Hamey Text summarization using unsupervised deep learning Expert Systems with Applications 68 93 105 2017 28 Geoffrey E Hinton and Richard S Zemel Minimizing description length in an unsupervised neural network Preprint 1997 29 Yuxiang Wu and Baotian Hu Learning to extract coherent summary via deep reinforcement learning In Thirty Second AAAI Conference on Artificial Intelligence 2018
استاد راهنما :
عبدالرضا ميرزايي
استاد مشاور :
مهران صفاياني
استاد داور :
مريم ذكري،مازيار پالهنگ
لينک به اين مدرک :

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