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用户生成内容外文文献Social context summarization using user-generated content and third-party sources.pdf

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Knowledge-Based Systems 144 (2018) 51–64 Contents lists available at ScienceDirect Knowledge-Based Systems journal homepage: /locate/knosys Social context summarization using user-generated content and third-party sources a,b a a,∗ Minh-Tien Nguyen , Duc-Vu Tran , Le-Minh Nguyen a School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan b The Center of Scientiﬁc Research and Technological Applications, Hung Yen University of Technology and Education (UTEHY), Hung Yen, Vietnam a r t i c l e i n f o a b s t r a c t Article history: In the context of social media, users mutually share their interests of an event mentioned in a Web Received 1 June 2017 document. Its content can also be found in different news providers with a writing variation. This pa- Revised 18 December 2017 per presents a framework which exploits the support of social context (user-generated content such as Accepted 22 December 2017 comments or tweets and third-party sources such as relevant documents retrieved from a search en- Available online 28 December 2017 gine) to extract high-quality summaries. The extraction was formula