2024
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| New! Bakker, R., Di Scala, D. (2024) From Text to Knowledge Graph: Comparing Relation Extraction Methods in a Practical Context. In First International Workshop on Generative Neuro-Symbolic AI, co-located with ESWC. | Read Here | Knowledge Graph Extraction, Relation Extraction, Ontology Learning, Knowledge Graphs, Large Language Models |
| New! Ziegfeld, L., Di Scala, D. L., & Cremers, A. H. (2024). The Effect of Preference Elicitation Methods on the User Experience in Conversational Recommender Systems. Computer Speech & Language, 101696. | Read Here | Conversational recommender system, Chatbot, User experience, Preference elicitation, Sentence Embeddings |
| Veldhuis, G. A., Blok, D., de Boer, M. H., Kalkman, G. J., Bakker, R. M., & van Waas, R. P. (2024). From text to model: Leveraging natural language processing for system dynamics model development. System Dynamics Review, e1780. | Read Here | System Dynamics |
| Snijder, L. L., Smit, Q. T., & de Boer, M. H. (2024, May). Advancing Ontology Alignment in the Labor Market: Combining Large Language Models with Domain Knowledge. In Proceedings of the AAAI Symposium Series (Vol. 3, No. 1, pp. 253-262). | Read Here | Ontology Alignment, Mapping Refinement, Generative Large Language Models, Labor Market |
2023
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| van Drie, R. A., de Boer, M. H., Bakker, R. M., Tolios, I., & Vos, D. (2023, June). The Dutch law as a semantic role labeling dataset. In Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law (pp. 316-322). | Read Here | Dutch Law, Semantic Role Labeling |
2022
| Bakker, R. M., de Boer, M. H., van Drie, R. A., & Vos, D. (2022). Extracting Structured Knowledge from Dutch Legal Texts: A Rule-based Approach. In EKAW (Companion). | Read Here | Information Extraction, Knowledge Modelling, Legal Interpretation Support |
| Bakker, R., van Drie, R. A., de Boer, M., van Doesburg, R., & van Engers, T. (2022, June). Semantic role labelling for dutch law texts. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 448-457). | Read Here | semantic role labelling, part-of-speech tagging, Dutch, transformers, legislation |
| Raaijmakers, S. (2022). Deep learning for natural language processing. Simon and Schuster | Read Here | deep learning, NLP, transformers, deep NLP, text embeddings, episodic memory. |
| Bakker, R. M., de Boer, M. H., Meyer-Vitali, A. P., Bakker, B. J., & Raaijmakers, S. A. (2022). A hybrid approach for creating knowledge graphs: recognizing emerging technologies in Dutch companies. HHAI2022: Augmenting Human Intellect, 307-309 | Read Here | Knowledge Graphs, Text Mining, Foresight, Hybrid AI |
2021 and older
| de Boer, M. H., Boertjes, E., Wilmer, M., Vethman, S., Adhikari, A., & Tang, J. (2021, June). Vacancy Improver: A Demo towards skill-based debiased Vacancies. In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 68-70) | Read Here | classification, skill extraction, bias detection, vacancies, debiasing |
| Neutel, S., & de Boer, M. H. (2021, March). Towards Automatic Ontology Alignment using BERT. In AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (pp. 1-12) | Read Here | ontology, natural language processing, BERT, knowledge engineering |
| Burghoorn, M., de Boer, M. H., & Raaijmakers, S. (2020). Gender prediction using limited twitter data. arXiv preprint arXiv:2010.02005 | Read Here | Gender classification, transformers, BERT, Twitter |
| de Boer, M., & Verhoosel, J. P. (2020, May). Towards data-driven ontologies: A filtering approach using keywords and natural language constructs. In Proceedings of the Twelfth Language Resources and Evaluation Conference (pp. 2285-2292) | Read Here | knowledge representation, ontologies, text mining |
| de Boer, M. H., Bakker, B. J., Boertjes, E., Wilmer, M., Raaijmakers, S., & van der Kleij, R. (2019). Text mining in cybersecurity: Exploring threats and opportunities. Multimodal Technologies and Interaction, 3(3), 62 | Read Here | information retrieval, foresight, digital crime, cyber security, cyber resilience, trend analysis |
| de Boer, M., Dirkson, A., van Oortmerssen, G., Verberne, S., & Kraaij, W. (2018). The Patient Forum Miner: Text Mining for patient communities. In Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop (pp. 25-26) | Read Here | Summarization, text mining, text search, entity recognition |
| de Boer, M. H., Brandt, P., Sappelli, M., Daniele, L. M., Schutte, K., & Kraaij, W. (2015). Query Interpretation-an application of semiotics in image retrieval. | Read Here | query expansion; natural language queries; image retrieval; semantic reasoning; computational semiotics |