Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding
Springer Verlag, Singapore
978-981-13-3145-9 (ISBN)
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.
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.
| Erscheinungsdatum | 25.01.2019 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science ; 957 |
| Zusatzinfo | 45 Illustrations, color; 32 Illustrations, black and white; XVI, 143 p. 77 illus., 45 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Office Programme ► Outlook |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung | |
| Schlagworte | Applications • Computer Science • conference proceedings • Informatics • Research |
| ISBN-10 | 981-13-3145-6 / 9811331456 |
| ISBN-13 | 978-981-13-3145-9 / 9789811331459 |
| Zustand | Neuware |
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