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Dive into the research topics where Rudolf Berend Trieschnigg is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan, T., Trieschnigg, D., Seifert, C. & Hiemstra, D., 16 Jan 2020, ArXiv.org, 9 p.Research output: Working paper › Preprint › Academic
Open AccessFile59 Downloads (Pure) -
Supporting the Exploration of Online Cultural Heritage Collections: The Case of the Dutch Folktale Database
Muiser, I., Theune, M., de Jong, R., Smink, N., Trieschnigg, D., Hiemstra, D. & Meder, T., 17 Jan 2018, In: Digital humanities quarterly. 11, 4Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile147 Downloads (Pure) -
Automatic Enrichment and Classification of Folktales in the Dutch Folktale Database
Meder, T., Karsdorp, F., Nguyen, D., Theune, M., Trieschnigg, D. & Muiser, I., 2016, In: The Journal of American Folklore. 129, 511, p. 78-96 19 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile16 Link opens in a new tab Citations (Scopus)175 Downloads (Pure) -
Resource Selection for Federated Search on the Web
Nguyen, D., Demeester, T., Trieschnigg, D. & Hiemstra, D., Sept 2016, Enschede, The Netherlands: Centre for Telematics and Information Technology (CTIT). 17 p. (CTIT Technical Report Series; no. TR-CTIT-16-12)Research output: Book/Report › Report › Professional
Open AccessFile93 Downloads (Pure) -
Audience and the Use of Minority Languages on Twitter
Nguyen, D.-P., Trieschnigg, R. B. & Cornips, L., May 2015, Proceedings of the Ninth International AAAI Conference on Web and Social Media, ICWSM 2015. Palo Alto: AAAI, p. 666-669 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
File27 Link opens in a new tab Citations (Scopus)695 Downloads (Pure)
Datasets
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Underlying dataset of Experts and Machines against Bullies: A Hybrid Approach to Detect Cyberbullies
Dadvar, M. (Creator), Trieschnigg, R. B. (Contributor) & de Jong, F. (Contributor), Zenodo, 16 Nov 2023
DOI: 10.5281/zenodo.10143096, https://doi.org/10.5281/zenodo.10143097
Dataset