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A Novel Ensemble Method for Named Entity Recognition and Disambiguation based on Neural Network

Published on 2018-11-222951 Views

Named entity recognition (NER) and disambiguation (NED) are subtasks of information extraction that respectively aim to recognize named entities mentioned in text, to assign them pre-defined types, an

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A Novel Ensemble Method for Named Entity Recognition and Disambiguation based on Neural Network00:00
“In the spring of 1800, Napoleon and his troops crossed the Swiss Alps”00:23
Extractors01:44
Ensemble strategies03:00
Mappings to the NERD Ontology04:00
Our approach Ensemble NERD04:04
4 Kinds of feature04:26
1. Surface Form Features04:35
2. Type Features - 105:17
2. Type Features - 205:52
3. Entity Features - 106:22
3. Entity Features - 206:58
4. Score Features07:20
2 NEURAL NETWORKS07:47
1. ENNTR - 107:50
1. ENNTR - 208:03
1. ENNTR - 309:05
1. ENNTR - 409:05
2. ENND - 109:31
2. ENND - 209:43
2. ENND - 310:10
2. ENND - 410:35
Results11:04
Ground Truth Corpora11:09
Type Recognition Evaluation11:29
NED Evaluation - 112:07
NED Evaluation - 212:22
Conclusions - Main Findings12:46
Future Work13:16
Thank you!13:53