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Simon Hengchen
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SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
D Schlechtweg, B McGillivray, S Hengchen, H Dubossarsky, ...
arXiv preprint arXiv:2007.11464, 2020
1382020
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
H Dubossarsky, S Hengchen, N Tahmasebi, D Schlechtweg
arXiv preprint arXiv:1906.01688, 2019
822019
Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study
MJ Hill, S Hengchen
Digital Scholarship in the Humanities 34 (4), 825-843, 2019
492019
GASC: Genre-Aware Semantic Change for Ancient Greek
V Perrone, M Palma, S Hengchen, A Vatri, JQ Smith, B McGillivray
The 1st International Workshop on Computational Approaches to Historical …, 2019
342019
From the paft to the fiiture: a fully automatic NMT and word embeddings method for OCR post-correction
M Hämäläinen, S Hengchen
arXiv preprint arXiv:1910.05535, 2019
282019
A computational approach to lexical polysemy in Ancient Greek
B McGillivray, S Hengchen, V Lähteenoja, M Palma, A Vatri
Digital Scholarship in the Humanities 34 (4), 893-907, 2019
222019
Semantic Enrichment of a Multilingual Archive with Linked Open Data
M De Wilde, S Hengchen
Digital Humanities Quarterly 11 (4), 2015
182015
A data-driven approach to the changing vocabulary of the ‘nation’ in English, Dutch, Swedish and Finnish newspapers, 1750-1950
S Hengchen, R Ros, J Marjanen
In Proceedings of the Digital Humanities (DH) conference, 2019
162019
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
152016
Challenges for computational lexical semantic change
S Hengchen, N Tahmasebi, D Schlechtweg, H Dubossarsky
Computational approaches to semantic change 6, 341, 2021
122021
When Does it Mean? Detecting Semantic Change in Historical Texts
S Hengchen
Université libre de Bruxelles, 2017
112017
L'extraction d'entités nommées: une opportunité pour le secteur culturel?
S Hengchen, S Van Hooland, R Verborgh, M De Wilde
I2D – Information, données & documents, 2015
112015
An unsupervised method for OCR post-correction and spelling normalisation for Finnish
Q Duong, M Hämäläinen, S Hengchen
arXiv preprint arXiv:2011.03502, 2020
102020
DWUG: A large resource of diachronic word usage graphs in four languages
D Schlechtweg, N Tahmasebi, S Hengchen, H Dubossarsky, ...
arXiv preprint arXiv:2104.08540, 2021
92021
Topic modelling discourse dynamics in historical newspapers
J Marjanen, E Zosa, S Hengchen, L Pivovarova, M Tolonen
arXiv preprint arXiv:2011.10428, 2020
82020
Computational approaches to semantic change
N Tahmasebi, L Borin, A Jatowt, Y Xu, S Hengchen
BoD–Books on Demand, 2021
72021
The challenges and prospects of the intersection of humanities and data science: A white paper from The Alan Turing Institute
B McGillivray, B Alex, S Ames, G Armstrong, D Beavan, A Ciula, ...
62020
A data-driven approach to studying changing vocabularies in historical newspaper collections
S Hengchen, R Ros, J Marjanen, M Tolonen
Digital Scholarship in the Humanities 36 (Supplement_2), ii109-ii126, 2021
52021
A collection of swedish diachronic word embedding models trained on historical newspaper data
S Hengchen, N Tahmasebi
Journal of Open Humanities Data 7, 2021
52021
The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies
N Tahmasebi, S Hengchen
Samlaren: Tidskrift för forskning om svensk och annan nordisk litteratur 140 …, 2019
52019
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