Automatic Text Summarization Using Fuzzy Inference
Paper
Paper/Presentation Title | Automatic Text Summarization Using Fuzzy Inference |
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Presentation Type | Paper |
Authors | Jafari, Mehdi (Author), Shahabi, Amir Shahab (Author), Wang, Jing (Author), Qin, Yongrui (Author), Tao, Xiaohui (Author) and Gheisari, Mehdi (Author) |
Journal or Proceedings Title | Proceedings of the 22nd IEEE International Conference on Automation and Computing (ICAC 2016) |
Number of Pages | 5 |
Year | 2016 |
Place of Publication | United States |
ISBN | 9781509028771 |
9781862181328 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/IConAC.2016.7604928 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/document/7604928/ |
Conference/Event | 22nd IEEE International Conference on Automation and Computing (ICAC 2016) |
Event Details | 22nd IEEE International Conference on Automation and Computing (ICAC 2016) Event Date 07 to end of 08 Sep 2016 Event Location Colchester, United Kingdom |
Abstract | Due to the high volume of information and electronic documents on the Web, it is almost impossible for a human to study, research and analyze this volume of text. Summarizing the main idea and the major concept of the context enables the humans to read the summary of a large volume of text quickly and decide whether to further dig into details. Most of the existing summarization approaches have applied probability and statistics based techniques. But these approaches cannot achieve high accuracy. We observe that attention to the concept and the meaning of the context could greatly improve summarization accuracy, and due to the uncertainty that exists in the summarization methods, we simulate human like methods by integrating fuzzy logic with traditional statistical approaches in this study. The results of this study indicate that our approach can deal with uncertainty and achieve better results when compared with existing methods. |
Keywords | semantics, fuzzy logic, syntactics, context, mathematical model, uncertainty, natural language processing |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
460208. Natural language processing | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Eyvanakey Institute of Higher Education, Iran |
Islamic Azad University, Iran | |
University of Huddersfield, United Kingdom | |
School of Agricultural, Computational and Environmental Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3w34/automatic-text-summarization-using-fuzzy-inference
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