A4 Article in conference proceedings
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering (2019)


Wang, R., Wang, M., Liu, J., Chen, W., Cochez, M., & Decker, S. (2019). Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. In G. Li, J. Yang, J. Gama, J. Natwichai, & Y. Tong (Eds.), DASFAA 2019: Database Systems for Advanced Applications, 24th International Conference, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part I (pp. 659-675). Cham: Springer. doi:10.1007/978-3-030-18576-3_39


JYU authors or editors


Publication details

All authors or editors: Wang, Ruijie; Wang, Meng; Liu, Jun; Chen, Weitong; Cochez, Michael; Decker, Stefan

Parent publication: DASFAA 2019: Database Systems for Advanced Applications, 24th International Conference, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part I

Parent publication editors: Li, Guoliang; Yang, Jun; Gama, Joao; Natwichai, Juggapong; Tong, Yongxin

ISBN: 978-3-030-18575-6

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

Publication year: 2019

Number in series: 11446

Pages range: 659-675

Number of pages in the book: 817

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: http://doi.org/10.1007/978-3-030-18576-3_39

Open Access: Publication channel is not openly available

Additional information: Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11446). 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part I.


Keywords: natural language; processing; questions; responses; data models

Free keywords: knowledge graph; answering; knowledge graph embedding


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 1


Last updated on 2020-18-10 at 21:26