Présentation des thèmes de recherche

Computational Linguistics, Natural Language Processing, Information Extraction, Named-Entity Recognition, Topic Modelling, Machine Translation

Lien vers un site externe

http://homepages.ulb.ac.be/~shengche

Centre(s) de recherche

Recherche en Sciences de l'information et de la communication (ReSIC)

Publication(s) récente(s)

Waty, M., Van Hooland, S., Hengchen, S., Coeckelbergs, M., De Wilde, M., et al. (2016, juin 20). How hot is .brussels?: Analysis of the uptake of the .brussels top-level domain name extension. Brussels Studies.

Hengchen, S. (2017). Detecting Semantic Change in Historical Texts. Publication présentée à la conférence Hume, Rousseau, History and Method (2017-12-07: Helsinki).

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.

McGillivray, B., & Hengchen, S. (2017, novembre 02). Code for the Hartlib Papers. doi:10.5281/zenodo.1040682

Hengchen, S. (2017). Detecting Semantic Change in Historical Text: Case Study on Flemish socialist newspapers. Publication présentée à la conférence Language Technology Lab (Cambridge).

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. Publication présentée à la conférence Digital approaches towards serial publications (18th–20th centuries).

Verbruggen, C., Hengchen, S., Zere, T., D'Haeninck, T., & Daems, J. (2017). Workers of the World? A Digital Approach Towards the International Scope of Belgian Socialist Newspapers, 1885-1940. Publication présentée à la conférence Digital approaches towards serial publications (18th–20th centuries).

D'Haeninck, T., Hengchen, S., & Verbruggen, C. (2017). A Genealogy of Causes: Recognizing Social Reform Topics in 19th-century Congress Series. Publication présentée à la conférence Digital approaches towards serial publications (18th–20th centuries) (Brussels).

Hengchen, S. (2017). When does it mean?: Detecting semantic change in historical texts. Publication présentée à la conférence Digital Humanities at Oxford Summer School (Oxford).

Chardonnens, A., & Hengchen, S. (2017, mars 15). Text Mining for User Query Analysis: A 5-Step Method for Cultural Heritage Institutions. Proceedings of the 15th International Symposium on Information Science (ISI 2017) ; Berlin, Germany, 13th—15th March 2017: Everything Changes, Everything Stays the Same? Understanding Information Spaces (pp. 177-189). M. Gäde / V. Trkulja / V. Petras (Eds.).