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Type-Constrained Representation Learning in Knowledge Graphs
Published on Nov 10, 20151368 Views
Large knowledge graphs increasingly add value to various applications that require machines to recognize and understand queries and their semantics, as in search or question answering systems. Laten
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Type - Constrained Representation Learning in Knowledge Graphs00:00
Outline00:13
Knowledge Graphs - 100:48
Knowledge Graphs - 201:14
Learning in Knowledge Graphs - 101:43
Learning in Knowledge Graphs - 202:19
Learning in Knowledge Graphs - 302:39
Learning in Knowledge Graphs - 403:00
Learning in Knowledge Graphs - 504:11
Learning in Knowledge Graphs - 504:22
Learning in Knowledge Graphs - 604:31
Application in Large Knowledge Graphs - 104:55
Application in Large Knowledge Graphs - 205:52
Application in Large Knowledge Graphs - 306:09
Type-Constraints in Knowledge Graphs - 106:19
Type-Constraints in Knowledge Graphs - 207:07
Learning in Knowledge Graphs with Type-Constraints - 107:32
Learning in Knowledge Graphs with Type-Constraints - 207:40
Experiments - Models08:20
Experiments - Datasets09:03
Results - Type-Constraints - 110:09
Results - Type-Constraints - 211:46
Results - Type-Constraints - 311:47
A Local Closed-World Assumption12:06
Learning in Knowledge Graphs with Local Closed-World Assumption12:56
Results - LCWA - 113:21
Results - LCWA - 213:34
Results - LCWA - 313:35
Conclusion14:08
Questions?15:15