| SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection D Schlechtweg, B McGillivray, S Hengchen, H Dubossarsky, ... arXiv preprint arXiv:2007.11464, 2020 | 55 | 2020 |
| 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 | 44 | 2019 |
| 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 | 17 | 2019 |
| 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 | 15 | 2019 |
| Semantic Enrichment of a Multilingual Archive with Linked Open Data M De Wilde, S Hengchen Digital Humanities Quarterly 11 (4), 2015 | 14 | 2015 |
| 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 | 13 | 2019 |
| 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 | 13 | 2016 |
| 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 | 10 | 2019 |
| 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 | 10 | 2015 |
| 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 | 9 | 2019 |
| When Does it Mean? Detecting Semantic Change in Historical Texts S Hengchen Université libre de Bruxelles, 2017 | 8 | 2017 |
| Introduction aux humanités numériques: méthodes et pratiques: sciences humaines et sociales S Van Hooland, F Gillet, S Hengchen, M De Wilde De Boeck Université, 2016 | 5 | 2016 |
| Challenges for computational lexical semantic change S Hengchen, N Tahmasebi, D Schlechtweg, H Dubossarsky arXiv preprint arXiv:2101.07668, 2021 | 3 | 2021 |
| Text Mining for User Query Analysis: A 5-Step Method for Cultural Heritage Institutions A Chardonnens, S Hengchen Everything Changes, Everything Stays the Same? Understanding Information …, 2017 | 3 | 2017 |
| An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish Q Duong, M Hämäläinen, S Hengchen arXiv preprint arXiv:2011.03502, 2020 | 2 | 2020 |
| 'Workers of the World’? A digital approach to classify the international scope of Belgian socialist newspapers, 1885–1940 J Daems, T D’haeninck, S Hengchen, T Zere, C Verbruggen Journal of European Periodical Studies 4 (1), 99-114, 2019 | 2 | 2019 |
| Topic modelling discourse dynamics in historical newspapers J Marjanen, E Zosa, S Hengchen, L Pivovarova, M Tolonen arXiv preprint arXiv:2011.10428, 2020 | 1 | 2020 |
| 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, ... | 1 | 2020 |
| Disappearing Discourses: Avoiding anachronisms and teleology with data-driven methods in studying digital newspaper collections E Zosa, S Hengchen, J Marjanen, L Pivovarova, M Tolonen | 1 | 2020 |
| The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies N Tahmasebi, S Hengchen Samlaren: tidskrift för svensk litteraturvetenskaplig forskning 140, 198-227, 2019 | 1 | 2019 |
Barbara McGillivrayThe Alan Turing Institute / University of CambridgeVerified email at cam.ac.uk
