Sign inSign up
DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings thumbnail
slide-image
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings

Published on Jul 28, 20161331 Views

Stefan Zwicklbauer

Entity disambiguation is the task of mapping ambiguous terms in natural-language text to its entities in a knowledge base. It finds its application in the extraction of structured data in RDF (Resourc

ESWC 2016 - Heraklion

Related categories

Big DataSemantic Web

Chapter list

DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings00:00
Entity Disambiguation00:15
DoSeR - Disambiguation of Semantic Resources01:22
Index Creation03:10
Word2Vec Corpus Creation with EAD-KBs06:21
Word2Vec Corpus Creation with RDF-KBs07:57
DoSeR Entity Disambiguation Algorithm - 110:19
DoSeR Entity Disambiguation Algorithm - 211:59
DoSeR Evaluation I13:28
DoSeR Evaluation II14:48
DoSeR Evaluation III (+ Wikipedia)15:57
Conclusion16:45
Thank You!17:37