Name
Title | ||
|---|---|---|
Efficient Auto-Generation of Taxonomies for Structured Knowledge Discovery and Organization. |
Abstract | ||
|---|---|---|
This tutorial introduces the audience to the latest breakthroughs in the area of interpreting unstructured content through an analysis of the key enabling scientific results along with their real-world applications. With technical presentations of problems like named-entity disambiguation and dynamically updating the knowledge hierarchy with domain-specific vocabulary, it would provide the fundamentals to the building-blocks of various applications in Artificial Intelligence, Natural Language Processing, Machine Learning, and Data Mining.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3209542.3212476 | HT |
Keywords | Field | DocType |
Linked Knowledge Hierarchies, Entity Linking, Word Embeddings, Graph Measures, Katz Centrality, Topic Labeling | Entity linking,World Wide Web,Computer science,Knowledge extraction,Katz centrality,Hierarchy,Vocabulary | Conference |
ISBN | Citations | PageRank |
978-1-4503-5427-1 | 0 | 0.34 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deepak Ajwani | 1 | 188 | 22.30 |
| Sourav Dutta | 2 | 25 | 6.03 |
| Patrick K. Nicholson | 3 | 88 | 14.10 |
| Luca Maria Aiello | 4 | 713 | 44.77 |
| Alessandra Sala | 5 | 11 | 3.58 |