J.C. Scholtes
Carranza Tejada, G. N., Scholtes, J., & Spanakis, G. (2021). A study of BERT’s processing of negations to determine sentiment. In Proceedings of BNAIC/BeneLearn 2021 : 33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2021) (pp. 47-59) https://dke.maastrichtuniversity.nl/jerry.spanakis/wp-content/uploads/2021/11/NegationBERT.pdf
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Shingjergji, K., Celebi, R., Scholtes, J., & Dumontier, M. (2021). Relation extraction from DailyMed structured product labels by optimally combining crowd, experts and machines. Journal of Biomedical Informatics, 122, Article 103902. https://doi.org/10.1016/j.jbi.2021.103902
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Gerolemou, Z., & Scholtes, J. (2019). Target-Based Sentiment Analysis as a Sequence-Tagging Task. Paper presented at BNAIC 2019, Brussels, Belgium.
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Scholtes, J., van der Zee, Y., & Westerhoud, M. (2021). Science helps auditors take on the data challenge. European Court of Auditors Journal , 2021(1), 170-177. https://www.eca.europa.eu/lists/ecadocuments/journal21_01/journal21_01.pdf
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Scholtes, J., & van den Herik, H. J. (2019). Big Data Analytics for Legal Fact Finding. In L. van den Berg, S. Geldermans, A. Heeres, N. Noort, J. van de Riet, S. Vonk, & R. Weijers (Eds.), Recht en Technology, vraagstukken van de digitale revolutie (1ste druk ed., pp. 47-62). Boom Juridisch.
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Scholtes, J. (2021). The LegalTech Bridge. In B. Custers, F. Dechesne, & S. van der Hof (Eds.), Meesterlijk: Liber Amirocum ter gelegenheid van het emeritaat van Prof dr H.J. van den Herik Ipskamp.
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Hiemstra, D., Scholtes, J., Smeets, J., Enendu, S., & Theune, M. (2019). Predicting Semantic Labels of Text Regions in Heterogeneous Document Images.. Poster session presented at The 18th Dutch-Belgian Information Retrieval Workshop, Amsterdam, Netherlands.
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J.C. Scholtes
Extra-ordinairy Chair of Text-Mining
Fellow University Leiden LCDS
Fellow at the SIKS School of the KNAW
Chief Data Scientist at iPRO
Board member at IPRally
Advisory board member at EDRM
Dept. of Advanced Computing Sciences
Faculty of Science and Engineering