Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding
Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018.
The 27 revised full papers and 2 revised short papers presented...
The 27 revised full papers and 2 revised short papers presented...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
Fr. 59.00
inkl. MwSt.
- Kreditkarte, Paypal, Rechnungskauf
- 30 Tage Widerrufsrecht
Produktdetails
Produktinformationen zu „Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding “
Klappentext zu „Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding “
This book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018.The 27 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 101 submissions. The papers cover wide research fields including the knowledge graph, information extraction, knowledge representation and reasoning, linked data.
Inhaltsverzeichnis zu „Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding “
Towards answering geography questions in Gaokao: a hybrid approach.- Distant supervision for chinese temporal tagging.- Convolutional neural network-based question answering over knowledge base with type constraint.- MMCRD: An effective algorithm for deploying monitoring point on social network.- Deep learning for knowledge-driven ontology stream prediction.- DSKG: a Deep sequential model for knowledge graph completion.- Pattern learning for Chinese open information extraction.- Adversarial training for relation classification with attention based gate mechanism.- A novel approach on entity linking for encyclopedia infoboxes.- Predicting concept-based research trends with rhetorical framing.- Knowledge augmented inference network for natural language inference.- Survey on schema induction from knowledge graphs.
Bibliographische Angaben
- 2019, 1st ed. 2019, XVI, 143 Seiten, 45 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li
- Verlag: Springer, Berlin
- ISBN-10: 9811331456
- ISBN-13: 9789811331459
- Erscheinungsdatum: 19.01.2019
Sprache:
Englisch
Kommentar zu "Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding"
0 Gebrauchte Artikel zu „Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding".
Kommentar verfassen