- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Proceedings of the 7th International Workshop on News Recommendation and Analytics / Özgöbek, Özlem; Kille, Benjamin; Gulla, Jon Atle et al. (Hrsg.). - Aachen : CEUR, 2019. - (CEUR Workshop Proceedings ; 2554). - S. 35-43. - eISSN 1613-0073
In: 7th International Workshop on News Recommendation and Analytics, 20. Sep 2020, Kopenhagen
- Classification
-
Nachrichtenmedien, Journalismus, Verlagswesen
- Event
-
Veröffentlichung
- (where)
-
Konstanz
- (who)
-
KOPS Universität Konstanz
- (when)
-
2019
- Creator
- URN
-
urn:nbn:de:bsz:352-2-1xyhp24n4a7n47
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
2025-03-25T13:56:40+0100
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hamborg, Felix
- Breitinger, Corinna
- Gipp, Bela
- KOPS Universität Konstanz
Time of origin
- 2019
Other Objects (12)
HiEve: A corpus for extracting event hierarchies from news stories
Extracting and Aggregating Temporal Events from Texts
Extracting structured information from Wikipedia articles to populate infoboxes
Extracting Causal Relations between News Topics from Distributed Sources
Extracting causal relations between news topics from distributed sources
Annotating, extracting and reasoning about time and events : 05151 summary
Extracting event-centric document collections from large-scale web archives
Annotating, extracting and reasoning about time and events : 05151 abstracts collection
Giveme5W : Main Event Retrieval from News Articles by Extraction of the Five Journalistic W Questions
Large-scale Comparative Sentiment Analysis of News Articles
Extracting information for biology
Extraction of Main Event Descriptors from News Articles by Answering the Journalistic Five W and One H Questions
HiEve: A corpus for extracting event hierarchies from news stories
Extracting and Aggregating Temporal Events from Texts
Extracting structured information from Wikipedia articles to populate infoboxes
Extracting Causal Relations between News Topics from Distributed Sources
Extracting causal relations between news topics from distributed sources
Annotating, extracting and reasoning about time and events : 05151 summary
Extracting event-centric document collections from large-scale web archives
Annotating, extracting and reasoning about time and events : 05151 abstracts collection
Giveme5W : Main Event Retrieval from News Articles by Extraction of the Five Journalistic W Questions
Large-scale Comparative Sentiment Analysis of News Articles
Extracting information for biology
Extraction of Main Event Descriptors from News Articles by Answering the Journalistic Five W and One H Questions
HiEve: A corpus for extracting event hierarchies from news stories
Extracting and Aggregating Temporal Events from Texts
Extracting structured information from Wikipedia articles to populate infoboxes
Extracting Causal Relations between News Topics from Distributed Sources
Extracting causal relations between news topics from distributed sources
Annotating, extracting and reasoning about time and events : 05151 summary
Extracting event-centric document collections from large-scale web archives
Annotating, extracting and reasoning about time and events : 05151 abstracts collection
Giveme5W : Main Event Retrieval from News Articles by Extraction of the Five Journalistic W Questions
Large-scale Comparative Sentiment Analysis of News Articles
Extracting information for biology