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). Springer. Lecture Notes in Computer Science, 11446. https://doi.org/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
eISSN: 1611-3349
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: https://doi.org/10.1007/978-3-030-18576-3_39
Publication open access: Not open
Publication channel open access:
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