Extracting Causal Relations between News Topics from Distributed Sources
The overwhelming amount of online news presents a challenge called news information overload. To mitigate this challenge we propose a system to generate a causal network of news topics. To extract this information from distributed news sources, a system called Forest was developed. Forest retrieves...
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| Format: | Doctoral Thesis |
| Language: | English |
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Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
2013
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| Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-130066 http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-130066 http://www.qucosa.de/fileadmin/data/qucosa/documents/13006/doc.pdf |