Simon Hengchen
Orcid: 0000-0002-8453-7221
According to our database1,
Simon Hengchen
authored at least 21 papers
between 2016 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2021
A data-driven approach to studying changing vocabularies in historical newspaper collections.
Digit. Scholarsh. Humanit., 2021
Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish.
Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Dataset, March, 2020
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the Post-Proceedings of the 5th Conference Digital Humanities in the Nordic Countries (DHN 2020), 2020
2019
Digit. Scholarsh. Humanit., 2019
Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study.
Digit. Scholarsh. Humanit., 2019
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, 2019
2017
Digit. Humanit. Q., 2017
Text Mining for User Query Analysis - A 5-Step Method for Cultural Heritage Institutions.
Proceedings of the Everything Changes, 2017
2016
How hot is .brussels? Impact of the uptake of the .brussels top-level domain name extension.
CoRR, 2016
Exploring archives with probabilistic models: Topic modelling for the valorisation of digitised archives of the European Commission.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016