Exploring archives with probabilistic models: Topic Modelling for the valorisation of digitised archives of the European Commission S Hengchen, M Coeckelbergs, S Van Hooland, R Verborgh, T Steiner 2016 IEEE International Conference on Big Data (Big Data), 3245-3249, 2016 | 12 | 2016 |
Unsupervised Machine Learning for Archival Collections: Possibilities and Limits of Topic Modeling and Word Embedding S van Hooland, M Coeckelbergs Revista catalana d'arxivística 41, 73, 2018 | 2 | 2018 |
Modeling the Hebrew Bible: Potential of Topic Modeling Techniques for Semantic Annotation and Historical Analysis M Coeckelbergs, S van Hooland Proceedings of the Second International Workshop on Semantic Web for …, 2016 | 2 | 2016 |
Mining user queries with information extraction methods and linked data A Chardonnens, E Rizza, M Coeckelbergs, S Van Hooland Journal of Documentation, 2018 | 1 | 2018 |
Scrambling for Metadata Using Topic Modeling and Word2Vec to explore the Archives of the European Commission S Van Hooland, M Coeckelbergs, S Hengchen, E Rizza Digital approaches towards serial publications (18th–20th centuries), 2017 | 1 | 2017 |
Advances in Digital Scholarly Editing. Papers presented at the DiXiT conferences in The Hague, Cologne, and Antwerp. M Coeckelbergs, S Van Hooland, P Van Hecke Sidestone Press, 2017 | 1 | 2017 |
The Reconfiguration of Hebrew in the Hellenistic Period: Proceedings of the Seventh International Symposium on the Hebrew of the Dead Sea Scrolls and Ben Sira at Strasbourg … M Coeckelbergs Dead Sea Discoveries 27 (2), 311-314, 2020 | | 2020 |
Concepts in Topics. Using Word Embeddings to Leverage the Outcomes of Topic Modeling for the Exploration of Digitized Archival Collections M Coeckelbergs, S Van Hooland International Conference on Data and Information in Online, 41-52, 2020 | | 2020 |
Classifying the Aramaic Texts from Qumran: A Statistical Analysis of Linguistic Features, written by John Starr M Coeckelbergs Dead Sea Discoveries 26 (1), 122-124, 2019 | | 2019 |
Classifying and Searching Resource-Poor Languages More Efficiently. Using the FastText Word Embeddings for the Aramaic Language Family. M Coeckelbergs Sustaining Knowledge Diversity in the Digital Age, 31, 2018 | | 2018 |
Hoe hot is. brussels? Analyse van de introductie van de top level domeinnaam. brussels M Waty, S van Hooland, S Hengchen, M Coeckelbergs, M De Wilde, ... Brussels Studies. La revue scientifique électronique pour les recherches sur …, 2018 | | 2018 |
Quel engouement pour «. brussels»? Analyse de l’utilisation de «. brussels» comme extension de nom de domaine de premier niveau M Waty, S van Hooland, S Hengchen, M Coeckelbergs, M De Wilde, ... Brussels Studies. La revue scientifique électronique pour les recherches sur …, 2018 | | 2018 |
How hot is. brussels? Analysis of the uptake of the. brussels top-level domain name extension M Waty, S Van Hooland, S Hengchen, M Coeckelbergs, M De Wilde, ... Brussels Studies. La revue scientifique électronique pour les recherches sur …, 2018 | | 2018 |
Aprenentatge automàtic NO-SUPERVISAT PER ALS FONS ARXIVÍSTICS: possibilitats i límits dels models temàtics i la representació distribuïda S Van Hooland, M Coeckelbergs Lligall, 76-96, 2018 | | 2018 |
Going beyond Google Analytics. Extending the Possibilities for the Monitoring and Reporting of Usage Data for Cultural Heritage Collections A Chardonnens, M Coeckelbergs, S Van Hooland Proceedings of the 9th Qualitative and Quantitative Methods in Libraries …, 2017 | | 2017 |
Linking the Hebrew Bible to Scholarly Works.: A Critical Analysis of JSTORs API for Fuzzy Matching and Topic Modeling to Connect Primary and Secondary Source Materials M Coeckelbergs, S Van Hooland, PPVH Van Hecke European Society for Textual Scholarschip, 2016 | | 2016 |