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Jesse de Does
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2020 – today
- 2023
- [j2]Tomaz Erjavec, Maciej Ogrodniczuk, Petya Osenova, Nikola Ljubesic, Kiril Simov, Andrej Pancur, Michal Rudolf, Matyás Kopp, Starkaður Barkarson, Steinþór Steingrímsson, Çagri Çöltekin, Jesse de Does, Katrien Depuydt, Tommaso Agnoloni, Giulia Venturi, María Calzada Pérez, Luciana D. de Macedo, Costanza Navarretta, Giancarlo Luxardo, Matthew Coole, Paul Rayson, Vaidas Morkevicius, Tomas Krilavicius, Roberts Dargis, Orsolya Ring, Ruben van Heusden, Maarten Marx, Darja Fiser:
The ParlaMint corpora of parliamentary proceedings. Lang. Resour. Evaluation 57(1): 415-448 (2023) - [c14]Katrien Depuydt, Nicoline van der Sijs, Jesse de Does, Ruud de Jong, Roland de Bonth, Mathieu Fannee, C. Annemieke Romein, Joris van Zundert:
Content providers, Researchers, Technology and the Crowd: Discovering the Best Possible Collaborative Strategies for Datafication and Publication of a Dutch Historical Newspaper Corpus. DH 2023 - 2020
- [c13]Christian Chiarcos, Maxim Ionov, Jesse de Does, Katrien Depuydt, Anas Fahad Khan, Sander Stolk, Thierry Declerck, John Philip McCrae:
Modelling Frequency and Attestations for OntoLex-Lemon. GLOBALEX@LREC 2020: 1-9
2010 – 2019
- 2019
- [c12]Karin Hofmeester, Ashkan Ashkpour, Katrien Depuydt, Jesse de Does:
Diamonds in Borneo: Commodities as Concepts in Context. DATeCH 2019: 45-50 - 2018
- [c11]Marieke van Erp, Jesse de Does, Katrien Depuydt, Rob Lenders, Thomas van Goethem:
Slicing and Dicing a Newspaper Corpus for Historical Ecology Research. EKAW 2018: 470-484 - 2017
- [c10]Marieke van Erp, Thomas van Goethem, Katrien Depuydt, Jesse de Does:
Towards Semantic Enrichment of Newspapers: A Historical Ecology Use Case. WHiSe@ISWC 2017: 39-44 - 2015
- [c9]Jafar Tanha, Jesse de Does, Katrien Depuydt:
Combining higher-order N-grams and intelligent sample selection to improve language modeling for Handwritten Text Recognition. ESANN 2015 - [c8]Verónica Romero, Joan-Andreu Sánchez, Vicente Bosch, Katrien Depuydt, Jesse de Does:
Influence of text line segmentation in Handwritten Text Recognition. ICDAR 2015: 536-540 - [c7]Jafar Tanha, Jesse de Does, Katrien Depuydt, Joan-Andreu Sánchez:
Crossing the lines: making optimal use of context in line-based Handwritten Text Recognition. ICDAR 2015: 956-960 - [c6]Jafar Tanha, Jesse de Does, Katrien Depuydt:
An LDA-based Topic Selection Approach to Language Model Adaptation for Handwritten Text Recognition. RANLP 2015: 646-653 - 2014
- [c5]Joan-Andreu Sánchez, Vicente Bosch, Verónica Romero, Katrien Depuydt, Jesse de Does:
Handwritten text recognition for historical documents in the transcriptorium project. DATeCH 2014: 111-117 - [c4]Jafar Tanha, Jesse de Does, Katrien Depuydt:
An Intelligent Sample Selection Approach to Language Model Adaptation for Hand-Written Text Recognition. ICFHR 2014: 349-354 - 2013
- [c3]Joan-Andreu Sánchez, Günter Mühlberger, Basilis Gatos, Philip Schofield, Katrien Depuydt, Richard M. Davis, Enrique Vidal, Jesse de Does:
tranScriptorium: a european project on handwritten text recognition. ACM Symposium on Document Engineering 2013: 227-228 - [c2]Jesse de Does, Katrien Depuydt:
Lexicon-supported OCR of eighteenth century Dutch books: a case study. DRR 2013: 86580L
2000 – 2009
- 2001
- [c1]Jesse de Does, John van der Voort van der Kleij:
Tagging the Dutch PAROLE Corpus. CLIN 2001: 62-76
1990 – 1999
- 1994
- [j1]Jesse de Does, Johannes M. Schumacher:
Interpretations of the gap topology: A survey. Kybernetika 30(2): 105-120 (1994)
Coauthor Index
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