Context-specific Consistencies in Information Extraction: Rule-based and Probabilistic Approaches
Large amounts of communication, documentation as well as knowledge and information are stored in textual documents. Most often, these texts like webpages, books, tweets or reports are only available in an unstructured representation since they are created and interpreted by humans. In order to take...
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| Format: | Doctoral Thesis |
| Language: | English |
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2015
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| Online Access: | https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/10835 http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-108352 https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-108352 https://doi.org/10.25972/WUP-978-3-95826-019-1 https://opus.bibliothek.uni-wuerzburg.de/files/10835/978-3-95826-019-1_Kluegl_OPUS_10835.pdf |
Internet
https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/10835http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-108352
https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-108352
https://doi.org/10.25972/WUP-978-3-95826-019-1
https://opus.bibliothek.uni-wuerzburg.de/files/10835/978-3-95826-019-1_Kluegl_OPUS_10835.pdf