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Simon Hengchen

Researcher

Simon Hengchen
Researcher
simon.hengchen@gu.se

Postal Address: Box 200, 40530 Göteborg
Visiting Address: Renströmsgatan 6 , 41255 Göteborg


Department of Swedish (More Information)
Box 200
405 30 Göteborg
www.svenska.gu.se
svenska.exp@svenska.gu.se
Visiting Address: Renströmsgatan 6 , 412 55 Göteborg

About Simon Hengchen

  • PhD in Information Science
  • MSc in Information Science
  • MA in Germanic Languages

My research focus is lexical semantic change: when, why, and how words change meaning. More information on Språkbanken's website: click.

Major publications

GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith et al.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics, 2019

From the paft to the fiiture: A fully automatic NMT and word embeddings method for OCR post-correction
Mika Hämäläinen, Simon Hengchen
International Conference Recent Advances in Natural Language Processing, RANLP, 2019

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, July 28 - August 2, 2019, pp. 457–470, Association for Computational Linguistics, 2019

Latest publications

The challenges and prospects of the intersection of humanities and data science: A White Paper from The Alan Turing Institute
Barbara McGillivray, Beatrice Alex, Sarah Ames, Guyda Armstrong, David Beavan et al.
White paper, Other 2020
Other

Dataset for Temporal Analysis of English-French Cognates
Esteban Frossard, Mickael Coustaty, Antoine Doucet, Adam Jatowt, Simon Hengchen
Proceedings of The 12th Language Resources and Evaluation Conference, Marseille, France, European Language Resources Association, Conference paper 2020
Conference paper

Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study
Mark J. Hill, Simon Hengchen
Digital Scholarship in the Humanities, Journal article 2019
Journal article

GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith et al.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics, Conference paper 2019
Conference paper

From the paft to the fiiture: A fully automatic NMT and word embeddings method for OCR post-correction
Mika Hämäläinen, Simon Hengchen
International Conference Recent Advances in Natural Language Processing, RANLP, Conference paper 2019
Conference paper

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, July 28 - August 2, 2019, pp. 457–470, Association for Computational Linguistics, Conference paper 2019
Conference paper

The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies
Nina Tahmasebi, Simon Hengchen
Samlaren : tidskrift för svensk litteraturvetenskaplig forskning, Journal article 2019
Journal article

When Does it Mean? Detecting Semantic Change in Historical Texts
Simon Hengchen
Brussels, Université libre de Bruxelles, Doctoral thesis 2017
Doctoral thesis

Major publications

GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith et al.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics, 2019

From the paft to the fiiture: A fully automatic NMT and word embeddings method for OCR post-correction
Mika Hämäläinen, Simon Hengchen
International Conference Recent Advances in Natural Language Processing, RANLP, 2019

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, July 28 - August 2, 2019, pp. 457–470, Association for Computational Linguistics, 2019

Showing 1 - 8 of 8

2020

The challenges and prospects of the intersection of humanities and data science: A White Paper from The Alan Turing Institute
Barbara McGillivray, Beatrice Alex, Sarah Ames, Guyda Armstrong, David Beavan et al.
White paper, Other 2020
Other

Dataset for Temporal Analysis of English-French Cognates
Esteban Frossard, Mickael Coustaty, Antoine Doucet, Adam Jatowt, Simon Hengchen
Proceedings of The 12th Language Resources and Evaluation Conference, Marseille, France, European Language Resources Association, Conference paper 2020
Conference paper

2019

Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study
Mark J. Hill, Simon Hengchen
Digital Scholarship in the Humanities, Journal article 2019
Journal article

GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith et al.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics, Conference paper 2019
Conference paper

From the paft to the fiiture: A fully automatic NMT and word embeddings method for OCR post-correction
Mika Hämäläinen, Simon Hengchen
International Conference Recent Advances in Natural Language Processing, RANLP, Conference paper 2019
Conference paper

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, July 28 - August 2, 2019, pp. 457–470, Association for Computational Linguistics, Conference paper 2019
Conference paper

The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies
Nina Tahmasebi, Simon Hengchen
Samlaren : tidskrift för svensk litteraturvetenskaplig forskning, Journal article 2019
Journal article

2017

When Does it Mean? Detecting Semantic Change in Historical Texts
Simon Hengchen
Brussels, Université libre de Bruxelles, Doctoral thesis 2017
Doctoral thesis

Showing 1 - 8 of 8

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