Text structuration leading to an automatic summary system: RAFI |
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| Institution: | 1. Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211;2. Department of Pathology and Anatomical Sciences, School of Medicine, University of Missouri, Columbia, MO 65212;3. Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, Columbia, MO 65211;4. Department of Health Management and Informatics, School of Medicine, University of Missouri, Columbia, MO 65212, United States;5. Department of Computer Science, College of Science for Women, University of Baghdad, Baghdad, Iraq;1. Roadway Safety, Texas A&M Transportation Institute, 1111 RELLIS Pkwy, Bryan, TX 77807, United States;2. Department of Sociology, University of Nevada, Las Vegas, 4505 S Maryland Pkwy, Las Vegas, NV 89154, United States;3. Department of Civil Engineering, Ardhi University, P.O.Box 35176, Dar es Salaam, Tanzania;4. Department of Environmental and Civil Engineering, Mercer University, 1501 Mercer University Drive, Macon, GA 31207, United States;5. Department of Civil and Environmental Engineering, Florida International University, 10555 West Flagler Street, EC 3720, Miami, FL 33174, United States;6. Depart of Civil and Environmental Engineering, Imperial College London, Skempton Building, London SW7 2AZ, UK |
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| Abstract: | The automatic text summary concerns the language industries. This work proposes a system automatically and directly transforming a source text into a reduced target text. The system deals exclusively with scientific and technical texts. It is based on the identification of specific expressions allowing an evaluation of the relevance of the sentence concerned, which can then be selected for the elaboration of the summary. The procedure consists in attributing a score to each sentence of the text and then eliminating those having the lowest scores. To produce the RAFI system (automatic summary based on indicative fragments), we resorted to the linguistic means of discourse analysis and the computing capacity of data processing instruments. This system could be adapted to Internet. |
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