Probabilistic models of natural language semantics
This thesis tackles the problem of modeling the semantics of natural language. Neural Network models are reviewed and a new Bayesian approach is developed and evaluated. As the performance of standard Monte Carlo algorithms proofed to be unsatisfactory for the developed models, the main focus lies o...
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| Format: | Doctoral Thesis |
| Language: | English |
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Universitätsbibliothek Leipzig
2016
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| Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-204503 http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-204503 http://www.qucosa.de/fileadmin/data/qucosa/documents/20450/Ingmar_Schuster_-_PhD_Thesis.pdf http://www.qucosa.de/fileadmin/data/qucosa/documents/20450/Abstract.pdf |