MOQAS: Multi-objective question answering system

Author:

Tohidi Nasim1,Hasheminejad Seyed Mohammad Hossein1

Affiliation:

1. Department of Computer Engineering, Alzahra University, Tehran, Iran

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference46 articles.

1. From Search Engines to Question Answering Systems - The Problems of World Knowledge, Relevance, Deduction and Precisiation;Zadeh;Toward a generalized theory of uncertainty (GTU),2005

2. Scaling question answering to the web;Kwok;ACM Transactions on Information Systems,2001

3. Question answering systems: Survey and trends;Bouziane;Procedia Computer Science,2015

4. A survey on question answering technology from an information retrieval perspective;Kolomiyets;Information Sciences,2011

5. Genetic programming-based feature learning for question answering;Khodadi;Information Processing and Management,2016

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1. Designing a Semi-Intelligent Crawler for Creating a Persian Question Answering Corpus Called Popfa;Journal of Information Systems and Telecommunication (JIST);2024-06-24

2. Research on semantic matching algorithm of BERT intelligent question answering system;Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023);2023-06-16

3. Optimizing question answering systems by Accelerated Particle Swarm Optimization (APSO);Signal and Data Processing;2022-09-01

4. HTS-DL: Hybrid Text Summarization System using Deep Learning;2022 27th International Computer Conference, Computer Society of Iran (CSICC);2022-02-23

5. A Practice of Human-Machine Collaboration for Persian Text Summarization;2022 27th International Computer Conference, Computer Society of Iran (CSICC);2022-02-23

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