0.25
0.5
0.75
1.25
1.5
1.75
2
From multilingual to cross-lingual processing for Social Sciences and Humanities
Published on Oct 17, 2017829 Views
In this presentation I will talk about the NewsReader project that resulted in a reading machine for several languages that extracts event-centric-knowledge-graphs from texts that can be of interest t
Related categories
Chapter list
CLARIN Annual Conference 201700:00
From multilingual to cross-lingual processing for Social Sciences and Humanities00:11
Multilinguality - 100:34
Multilinguality - 201:05
Multilinguality : Crosslinguality - 102:50
Multilinguality : Crosslinguality - 203:31
Multilinguality : Crosslinguality - 304:17
Why crosslingual interpretation?04:45
How to get from form to interpretation? - 106:28
How to get from form to interpretation? - 208:21
How to get from form to interpretation? - 309:31
How to get from form to interpretation? - 409:57
How to get from form to interpretation? - 510:14
How to get from form to interpretation? - 610:48
How to get from form to interpretation? - 711:30
Natural Language Annotation Format (NAF)12:28
NewsReader: English pipeline13:58
NAF14:32
Entity detection & linking - 114:46
Entity detection & linking - 215:27
RDF-SEM EVENT - 117:10
RDF-SEM EVENT - 217:38
How to get to cross-lingual interpretation?18:17
Spanish pipeline19:08
Italian pipeline19:34
Dutch pipeline19:42
Newsreader cross-lingual interoperable architecture19:52
Dutch NAF21:05
Evaluation - where do we stand?22:02
NewsReader & SoAv22:25
Meantime corpus - 123:56
Meantime corpus - 224:54
Meantime NLP evaluation25:45
From NAF to RDF-SEM Cross-lingual interpretation26:49
Cross-lingual Matching of SEM-RDF with English27:59
Conclusion - 130:50
From-text-to-data - 132:29
From-text-to-data - 233:05
NLP needs a paradigm shift33:13
From-text-to-data - 333:30
From-text-to-data - 433:57
From-text-to-data - 534:20
From-text-to-data - 634:51
Event registries35:54
Conclusion - 236:15
Expectations for digital humanities - 136:27
Expectations for digital humanities - 236:48