On the factual correctness and robustness of deep abstractive text summarization
dc.contributor.advisor | Larson, Martha | |
dc.contributor.advisor | Sappelli, Maya | |
dc.contributor.advisor | Hendrickx, Iris | |
dc.contributor.author | Lux, Klaus-Michael | |
dc.date.issued | 2020-08-20 | |
dc.description.abstract | not available | en_US |
dc.identifier.uri | https://theses.ubn.ru.nl/handle/123456789/10627 | |
dc.language.iso | en | en_US |
dc.thesis.faculty | Faculteit der Sociale Wetenschappen | en_US |
dc.thesis.specialisation | Master Artificial Intelligence | en_US |
dc.thesis.studyprogramme | Artificial Intelligence | en_US |
dc.thesis.type | Master | en_US |
dc.title | On the factual correctness and robustness of deep abstractive text summarization | en_US |
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