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The method of multi-document summarization is based on TextRank, which takes into account the position of sentences in paragraphs, the weight of the key sentence, and the length of the sentence. Finally, a prototype system is developed to verify the validity of the method using the four evaluation parameters of recall rate, accuracy rate, F-measure, and user feedback. The experimental results show that the method has a good performance in the system.<\/p>","DOI":"10.4018\/ijdwm.2018070104","type":"journal-article","created":{"date-parts":[[2018,6,25]],"date-time":"2018-06-25T14:48:16Z","timestamp":1529938096000},"page":"69-89","source":"Crossref","is-referenced-by-count":11,"title":["Multi-Documents Summarization Based on TextRank and its Application in Online Argumentation Platform"],"prefix":"10.4018","volume":"14","author":[{"given":"Caiquan","family":"Xiong","sequence":"first","affiliation":[{"name":"Hubei University of Technology, Wuhan, China"}]},{"given":"Xuan","family":"Li","sequence":"additional","affiliation":[{"name":"Hubei University of Technology, Wuhan, China"}]},{"given":"Yuan","family":"Li","sequence":"additional","affiliation":[{"name":"Hubei University of Technology, Wuhan, China"}]},{"given":"Gang","family":"Liu","sequence":"additional","affiliation":[{"name":"Hubei University of Technology, Wuhan, China"}]}],"member":"2432","reference":[{"key":"IJDWM.2018070104-0","doi-asserted-by":"crossref","unstructured":"Agatonovic, M., Aswani, N., Bontcheva, K., Cunningham, H., Heitz, T., Li, Y., \u2026 Tablan, V. 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