How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics
R. Hartel, A. Dunst, in: International Conference on Multimedia Modeling, MMM, Springer, 2019, pp. 662–671.
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Conference Paper
| Published
| English
Author
Hartel, RitaLibreCat;
Dunst, Alexander
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Publishing Year
Proceedings Title
International Conference on Multimedia Modeling, MMM
Page
662-671
Conference Location
Thessaloniki, Greece
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Hartel R, Dunst A. How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics. In: International Conference on Multimedia Modeling, MMM. Springer; 2019:662-671. doi:10.1007/978-3-030-05716-9_59
Hartel, R., & Dunst, A. (2019). How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics. In International Conference on Multimedia Modeling, MMM (pp. 662–671). Thessaloniki, Greece: Springer. https://doi.org/10.1007/978-3-030-05716-9_59
@inproceedings{Hartel_Dunst_2019, title={How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics}, DOI={10.1007/978-3-030-05716-9_59}, booktitle={International Conference on Multimedia Modeling, MMM}, publisher={Springer}, author={Hartel, Rita and Dunst, Alexander}, year={2019}, pages={662–671} }
Hartel, Rita, and Alexander Dunst. “How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics.” In International Conference on Multimedia Modeling, MMM, 662–71. Springer, 2019. https://doi.org/10.1007/978-3-030-05716-9_59.
R. Hartel and A. Dunst, “How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics,” in International Conference on Multimedia Modeling, MMM, Thessaloniki, Greece, 2019, pp. 662–671.
Hartel, Rita, and Alexander Dunst. “How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics.” International Conference on Multimedia Modeling, MMM, Springer, 2019, pp. 662–71, doi:10.1007/978-3-030-05716-9_59.
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