0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
Sports News Summarization Using Ensebmle Learning
Authors :
Moein Sartakhti.salimi@gmail.com
1
Mohammad Javad Maleki Kahaki
2
Ahmad Yoosofan
3
Seyyed Vahid Moravvej
4
1- Department of Electrical and Computer Engineering, Amirkabir university of technology
2- Department of Computer Engineering University of Kashan Kashan, Iran
3- Department of Computer Engineering University of Kashan Kashan, Iran
4- Department of Computer Engineering University of Kashan Kashan, Iran
Keywords :
text summarization, optimizers, ensemble learning
Abstract :
The process of producing a short version of documents by keeping the important information of documents is called text summarization. One of the ways to extract fundamental sentences is using optimization. Furthermore, optimizers try to specify the best weights for sentence features in order to select appropriate sentences. Although some text summarization researches use different optimizers but using ensemble learning can improve the performance of summarization systems. Because ensemble learning usually can cover more information than individually algorithm. In this paper, we show the effect of using ensemble learning for Persian sports news summarization. Therefore, we selected three well-known optimizers such as Genetic Algorithm (GA), Grey Wolf Optimizer (GWO), and Particle Swarm Optimization (PSO). In this study, we observe the performance of each of them and ensemble learning of the optimizers. We show that using ensemble learning cause better performance rather than using an optimizer in individual form. The evaluation metric that is used in this paper is F-measure. In addition, to evaluation approaches we gathered 10000 sports news from “Varzesh3” as our corpus.
Papers List
List of archived papers
A New Inter-layer Similarity metric for link prediction in multilayer networks
Alireza Abdollahpouri - Samira Rafiee
A Genetic-based Fusion Approach of Persian and Universal Phonetic results for Spoken Language Identification
Ashkan Moradi - Yasser Shekofteh - Saeed Zarei
Cloud Service Composition Using Genetic Algorithm and Particle Swarm Optimization
Javad Dogani - Farshad Khunjush
Traffic Sign Recognition Using Local Vision Transformer
Ali Farzipour - Omid Nejati Manzari - Shahriar B. Shokouhi
Hybrid navigation based on GPS data and SIFT-based place recognition using Biologically-inspired SLAM
Sahar Salimpour Kasebi - Hadi Seyedarabi - Javad Musevi Niya
InfOnto: An ontology for fashion influencer marketing based on Instagram
Somaye Sultani - Mohsen Kahani
To Transfer or Not To Transfer (TNT): Action Recognition in Still Image Using Transfer Learning
Ali Soltani Nezhad - Hojat Asgarian Dehkordi - Seyed Sajad Ashrafi - Shahriar Baradaran Shokouhi
GAP: Fault tolerance Improvement of Convolutional Neural Networks through GAN-aided Pruning
Pouya Hosseinzadeh - Yasser Sedaghat - Ahad Harati
Farsi Text in Scene: A new dataset
Ali Salmasi - Ehsanollah Kabir
TCAR: Thermal and Congestion-Aware Routing Algorithm in a Partially Connected 3D Network on Chip
Majid Nezarat - Masoomeh Momeni
more
Samin Hamayesh - Version 41.3.1