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NewsReader: Automatically extracting events, entities and perspectives from newspapers abstract
Published on Aug 21, 2017929 Views
The NewsReader toolsuite is a state-of-the-art natural language processing pipeline for four languages developed in the NewsReader project [1]. It was developed to extract information on events, entit
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Chapter list
Working with Digital Collections of Newspapers00:00
NewsReader: Automatically extracting Events, Entities and Perspectives from Newspapers00:10
http://www.newsreader-project-eu00:38
From Text to RDF04:55
Natural Language Processing Pipeline06:43
NLP Annotation Format - 108:40
NLP Annotation Format - 212:15
NLP Annotation Format - 313:17
Semantic Annotation13:59
Named Entity Recognition & Linking14:38
Named Entities in NAF17:10
Why link to a resource such as DBpedia? - 117:55
Why link to a resource such as DBpedia? - 219:53
Named Entity Recognition & Linking21:24
From words to concepts - 123:07
From words to concepts - 224:06
Why link to WordNet/ConceptNet/etc?24:44
New synonym/concept lists are easy to plug in - 125:33
New synonym/concept lists are easy to plug in - 227:06
Semantic Role Labelling - 128:05
Semantic Role Labelling - 228:18
Event abstractions29:12
Pragmatic Analysis29:44
Perspective29:59
and beyond…30:53
Find out more31:04
Thank you for your attention31:42