Participations à des congrès et colloques internationaux (10)
  1. 4. Van Hooland, S., Coeckelbergs, M., Hengchen, S., & Rizza, E. (2017). Scrambling for Metadata: Using Topic Modeling and Word2Vec to Explore the Archives of the European Commission. Paper session presented at Digital approaches towards serial publications (18th–20th centuries).
  2. 5. D'Haeninck, T., Hengchen, S., & Verbruggen, C. (2017). A Genealogy of Causes: Recognizing Social Reform Topics in 19th-century Congress Series. Paper session presented at Digital approaches towards serial publications (18th–20th centuries) (Brussels).
  3. 6. Hengchen, S. (2017). When does it mean?: Detecting semantic change in historical texts. Paper session presented at Digital Humanities at Oxford Summer School (Oxford).
  4. 7. Hengchen, S., Magdinier, M. M., & Hubain, R. (2015). Data Cleaning, Linking and Enriching with OpenRefine: Part of the Data Science Training for Librarians series. Paper session presented at Data Science Training for Librarians (2015-09-09 - 2015-09-11: Copenhagen, Denmark).
  5. 8. De Wilde, M., & Hengchen, S. (2015). Semantic Enrichment of a Multilingual Archive with Linked Open Data. http://dhbenelux.org/wp-content/uploads/2015/04/06.pdf Abstract session presented at
  6. 9. De Wilde, M., & Hengchen, S. (2014). Named-Entity Recognition et Linked Data : quelle valeur ajoutée pour les archives? Paper session presented at Atelier groupe de contact FNRS belge "Humanités numériques" (2014-06-06).
  7. 10. Hengchen, S., De Wilde, M., & Van Hooland, S. (2014). NER as a gateway drug to the Linked Data cloud: Application of Named-Entity Recognition on cultural heritage metadata. Paper session presented at DH Benelux (2014).
    8.   Thèses et mémoires (1)
  8. 1. Hengchen, S. (2017). When Does it Mean?: Detecting Semantic Change in Historical Texts (Thèse doctorale non-publiée). Université libre de Bruxelles, Faculté de Lettres, Traduction et Communication - Information et communication, Bruxelles.
    9.   Divers (4)
  9. 1. McGillivray, B., & Hengchen, S. (2017). Code for the Hartlib Papers. doi:10.5281/zenodo.1040682
  10. 2. Hengchen, S. (2017). Comparing Topic Model Stability across Language and Size.
  11. 3. Hengchen, S. (2016). Topic Modelling in the library: A short introduction.
  12. 4. Hengchen, S., & Koolen, M. (2015). topic-modeling-tool-FR: Fork of topic-modeling-tool with --token-regex option. doi:10.5281/zenodo.30.704
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