AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization-Reference-Cited by-同舟云学术

AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization

Published:2020 Issue: Volume: Page:580-592
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
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Author:

Wei Dongjun,Liu Yaxin,Zhu Fuqing,Zang Liangjun,Zhou Wei,Lu Yijun,Hu Songlin

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-47436-2_44

Reference30 articles.

1. Ahmed, M.: Data summarization: a survey. Knowl. Inf. Syst. 58(2), 249–273 (2018). https://doi.org/10.1007/s10115-018-1183-0

2. Bizer, C., et al.: Dbpedia - a crystallization point for the web of data. J. Web Semant. 7, 154–165 (2009)

3. Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Advances in Neural Information Processing Systems, pp. 2787–2795 (2013)

4. Lecture Notes in Computer Science;G Cheng,2011

5. Consens, M.P.: Managing linked data on the web: the LinkedMDB showcase. In: 2008 Latin American Web Conference, pp. 1–2 (2008)

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