Books:

2021: Scholtes, J.C. (2021). The LegalTech Bridge (in Dutch). Meesterlijk. Liber Amirocum Prof dr H.J. van den Herik. H.M. Custers, F. Dechesne and S. van der Hof (Eds.). LegalTech Bridge Download

2021: Scholtes, J.C. and Herik H.J. van den (2021). Big Data Analytics for eDiscovery. In Big Data Law, Roland Vögl, Editor. Edgar Publishing, 2021. ISBN: 978 1 78897 281 9. Big Data Law

2019: Scholtes, J.C. and Herik, H.J. (2019). Big Data Analytics for Legal Fact Finding. In: Recht en Technology, vraagstukken van de digitale revolutie. Onder Redactie van L.R. van den Berg et al., Boom Juridisch.

2009: Acceptance Speech. Text Mining the next step in Search Technology. Special Chair of Text-Mining, Department of Data Science and Knowledge Engineering, Maastricht University, the Netherlands. (Download)

2009: Scholtes, J.C. Inaugurele Rede. Text Mining, de volgende stap in zoektechnologie; Vinden wat er niet lijkt te zijn, of vinden wie niet gevonden wil worden. Inaugurele Rede Universiteit Maastricht bij de aanvaarding van het ambt van bijzonder hoogleraar aan de Universiteit van Maastricht. (Download – In Dutch)

1995: J.C. Scholtes. Artificial Neural Networks in Information Retrieval in a Libraries Context. EC DG-XIII. (Download)

1993: J.C. Scholtes. Neural Networks in Natural Language Processing and Information Retrieval. PhD Thesis, University of Amsterdam. (Download)

Scientific Publications:

Carranza-Tejada, G., Scholtes, J.C. and Spanakis, G. (2021). A study of BERT’s processing of negations to determine sentiment. Benelux Artificial Intelligence Conference. Luxembourg. November 10-12, 2021.

Celebi, Remzi; Krist Shingjergji; Jan Scholtes; Michel Dumontier (2021). Relation Extraction from DailyMed Structured Product Labels by Optimally Combining Crowd, Experts and Machines. Journal of Biomedical Informatics.

van der Zee, Y., Scholtes, J. C., Westerhoud, M., and Rossi, J.  (2021). Code Word Detection in Fraud Investigations using a Deep-Learning Approach.arXiv e-prints, art. arXiv:2103.09606, March 2021. Link: https://arxiv.org/abs/2103.09606

Scholtes, J.C., Zee, Youri van der, and Westerhoud, Marcel (2021). Science helps auditors take on the data challenge. European Court Auditors Journal. No 1, 2021, pp 170-177. Luxembourg, Luxembourg.

Scholtes, J.C. (2020). The LegalTech Bridge. A 2022 view on LegalTech Education. LegalTech Bridge

Scholtes, J.C. (2020). Text-Mining and eDiscovery for Big-Data Audits. European Court Auditors Journal. No 1, 2020, pp 133-140. Luxembourg, Luxembourg.

Enendu, S., Scholtes, J., Smeets, J., Hiemstra, D., and Theune, M. (2019). Predicting Semantic Labels of Text Regions in Heterogeneous Document Images. DIR 2019. 18^th Dutch-Belgium Information Retrieval Conference. November 29^th, Amsterdam, the Netherlands.

Gerolemou, Z. and Scholtes, J. (2019). Target-Based Sentiment Analysis as a Sequence-Tagging Task, Benelux Artificial Intelligence Conference, Brussels, November 2019.

Enendu, S., Scholtes, J., Smeets, J., Hiemstra, D., and Theune, M. (2019). Predicting Semantic Labels of Text Regions in Heterogeneous Document Images. KONVENS 2019. October 9–11, 2019, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.

Scholtes, J.C. and Herik, H.J. (2019). Big Data Analytics for Legal Fact-Finding. Mordenate Lustrum Congres. Faculty of Law, Leiden University, the Netherlands. May 17, 2019.

Helling, T.J., Takes, F.W., and Scholtes. J.C. (2018). A community-aware approach for identifying node anomalies in complex networks. The 7th International Conference on Complex Networks and Their Applications December 11-13, 2018, Cambridge, United Kingdom.

Heinrichs, B. and Scholtes, J.C. (2018). Detecting Anomalous Events over Time Using RDF Triple Extraction and a Dynamic Implementation of OddBall. Benelux Artificial Intelligence Conference, Den Bosch, The Netherlands, November 2018. (Download)

Borggrewe, K. and Scholtes, J.C. (2016). Domain-Independent Method for Entity Resolution by determining Textual Similarities with a Support Vector Machine. Benelux Artificial Intelligence Conference (BNAIC), 2016.Amsterdam, the Netherlands, November 10-11, 2016. (Download)

Smeets, J., Scholtes, J.C., Rasterfoff, C. and Schravemaker, M. (2016). SMTP: Stedelijk Museum Text Mining Project. Digital Humanities Conference, Krakow, Poland, July 2016. (Download)

Smeets, J., Scholtes, J.C., Rasterfoff, C. and Schravemaker, M. (2016). SMTP: Stedelijk Museum Text Mining Project. Digital Humanities Benelux (DHBenelux), Luxemburg, June 2016. (Download)

Tannenbaum, M., Fischer, A., and Scholtes, J.C. (2015). Dynamic Topic Detection and Tracking using Non-Negative Matric Factorization. Benelux Artificial Intelligence Conference (BNAIC), 2015. Hasselt, Belgium, November 5-6, 2015. (Download)

Scholtes, J.C., Cann, T.H.W. van, and Mack, M. (2013). The Impact of Incorrect Training Sets and Rolling Collections on Technology-Assisted Review. International Conference on Artificial Intelligence in Law 2013, DESI V Workshop. June 14, 2013, Consiglio Nazionale delle Ricerche, Rome, Italy. (Download)

Scholtes, J.C. and Cann, T.H.W. van (2013). Improving Machine Learning Input for Automatic Document Classification with Natural Language Processing. Benelux Artificial Intelligence Conference (BNAIC), 2013. Delft, the Netherlands, November 7-8, 2013.

Aisan Maghsoodi, Merlijn Sevenster, Johannes Scholtes and Georgi Nabaltov (2012), Automatic Sentence-based Classification of Free-text Breast Cancer Radiology Reports, 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012). (Download)

Freek Maes and Johannes C. Scholtes (2012). Authorship Disambiguation and Alias Resolution in Email Data. Benelux Artificial Intelligence Conference (BNAIC), 2012. Maastricht, the Netherlands, October 25-26, 2012. (Download)

Scholtes, J.C. (2009). Text Mining: The next step in Search Technology. Finding without knowing exactly what you’re looking for, or finding what apparently isn’t there. ICAIL 2009/DESI III Workshop-Barcelona. June 8, 2009.

Scholtes, J.C. (2008). Is there a role for Sentiment Mining in Robot-Human Communications? First International Conference on Human-Robots Personal Relationships. June 12-13, 2008.

Scholtes, J.C. (1992). Resolving Linguistic Ambiguities with a Neural Data-Oriented Parsing (DOP) System. Artificial Neural Networks 2 (I. Aleksander and J. Taylor, Eds.). Vol. 2, pp. 1347-1350. Elsevier Science Publishers, Amsterdam, The Netherlands.

Scholtes, J.C. (1992). Neural Nets versus Statistics in Information Retrieval. A Case Study of the 1987 Pravda. Proceedings of the SPIE Conference on Applications of Artificial Neural Networks III, April 20-24, Orlando, FL.

Scholtes, J. (1992). Neural Data Oriented Parsing. Proceedings of the 3rd Twente Workshop on Language Technology. May 12-13, Twente, The Netherlands.

Scholtes, J.C. (1992). Filtering the Pravda with a Self-Organizing Neural Net. Proceedings of the First SHOE Workshop. February 27-28, Tilburg, The Netherlands, pp. 267-277.

Scholtes, J.C. (1992). Resolving Linguistic Ambiguities with a Neural Data-Oriented Parsing (DOP) System. Proceedings of the First SHOE Workshop, February 27-28, Tilburg, The Netherlands, pp. 279-282.

Scholtes, J.C. (1992). Neural Data Oriented Parsing. Proceedings of the 2nd SNN. April 14-15, Nijmegen, The Netherlands, p. 86.

Scholtes, J.C. (1992). Neural Nets for Free-Text Information Filtering. Proceedings of the 3rd Australian Conference on Neural Nets. February 3-5, Canberra, Australia.

Scholtes, J.C. (1992). Filtering the Pravda with a Self-Organizing Neural Net. Proceedings of the Symposium on Document Analysis and Information Retrieval, March 16-18, 1992, Las Vegas, NV, pp. 151-161.

Scholtes, J.C. and Bloembergen, S. (1992). The Design of a Neural Data-Oriented Parsing (DOP) Model. Proceedings of the International Joint Conference on Neural Networks, June 7-10, Baltimore, MD.

Scholtes, J.C. and Bloembergen, S. (1992). Corpus Based Parsing with a Self-Organizing Neural Net. Proceedings of the International Joint Conference on Neural Networks, November 3-5, Beijing, P.R. China.

Scholtes, J.C. (1991). Using Extended Kohonen-Feature Maps in a Language Acquisition Model. Proceedings of the 2nd Australian Conference on Neural Nets. February 2-4. Sydney, Australia, pp. 38-43.

Scholtes, J.C. (1991). Learning Simple Semantics by Self-Organization. Worknotes of the AAAI Spring Symposium Series on Machine Learning of Natural Language and Ontology. March 26-29. Palo Alto, CA, pp. 146-151.

Scholtes, J.C. (1991). Learning Simple Semantics by Self-Organization. Worknotes of the AAAI Spring Symposium on Connectionist Natural Language Processing. March 26-29. Palo Alto, CA, pp. 78-83.

Scholtes, J.C. (1991). Unsupervised Context Learning in Natural Language Processing. Proceedings of the International Joint Conference on Neural Networks. July 8-12. Seattle, WA, Vol. 1, pp. 107-112.

Scholtes, J.C. (1991). Self-Organized Language Learning. The Annual Conference on Cybernetics: Its Evolution and Its Praxis. July 17-21. Amherst, MA.

Scholtes, J.C. (1991). Unsupervised Learning and the Information Retrieval Problem. Proceedings of the International Joint Conference on Neural Networks, November 18-21, Singapore., pp. 18-21,

Scholtes, J.C. (1991). Filtering the Pravda with a Self-Organizing Neural Net. Working Notes of the Bellcore Workshop on High Performance Information Filtering. November 5-7, Chester, NJ.

Scholtes, J.C. (1991). Kohonen’s Self-Organizing Map in Natural Language Processing. Proceedings of the SNN Symposium. May 1-2. Nijmegen, The Netherlands, p. 64.

Scholtes, J.C. (1991). Kohonen’s Self-Organizing Map Applied Towards Natural Language Processing. Proceedings of the CUNY 1991 Conference on Sentence Processing. May 12-14. Rochester, NY, p. 10.

Scholtes, J.C. (1991). Kohonen Feature Maps and Full-Text Data Bases: A Case Study of the 1987 Pravda. Proceedings of Informatiewetenschap 1991. December 18. Nijmegen, The Netherlands, pp. 203-220. STINFON.

Scholtes, J.C. (1991). Recurrent Kohonen Self-Organization in Natural Language Processing. Artificial Neural Networks (T. Kohonen, K. Makisara, O. Simula and J. Kangas, Eds.), pp. 1751-1754. Elsevier Science Publishers, Amsterdam, The Netherlands.

Scholtes, J.C. (1990). Trends in Neurolinguistics. Proceedings of the IEEE Symposium on Neural Networks, June 21, Delft, Netherlands, pp. 69-86.

Henseler, J., Herik, H.J., Kerckhoffs, E.J.H., Koppelaar, H., Scholtes. J.C., and Verhoest, C.R.J. (1988). Knowledge-Based Parallelism in Optical Character Recognition. Proc. of the Summer Computer Simulation Conference. July 25-28, 1988. pp. 14-20. Seattle, Washington.

Herik, H.J. van den, Scholtes, J.C. and Verhoest, C.R.J. (1988). The Design of a Knowledge-Based Optical-Character Recognition System. Proc. of the SCS, June 1-3, 1988, pp. 350-358. Nice, France.

Henseler J., Scholtes, J.C. and Verhoest, C.R.J. (1987). The Design of a Parallel Knowledge-based Optical Character Recognition System. MSc Thesis. Department of Mathematics and Computer Science, TU-Delft, The Netherlands. (Download)