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2020 – today
- 2024
[c16]Meagan B. Loerakker, Laurens Müter, Marijn Schraagen:
Fine-Tuning Language Models on Dutch Protest Event Tweets. CASE 2024: 6-23- 2023
- [j2]Bram van Es, Leon C. Reteig, Sander C. Tan, Marijn Schraagen, Myrthe M. Hemker, Sebastiaan R. S. Arends, Miguel A. R. Rios, Saskia Haitjema:
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods. BMC Bioinform. 24(1): 10 (2023) - 2022
- [j1]Chaïm van Toledo
, Marijn Schraagen, Friso van Dijk, Matthieu J. S. Brinkhuis, Marco Spruit:
Exploring the Utility of Dutch Question Answering Datasets for Human Resource Contact Centres. Inf. 13(11): 513 (2022) - [c15]Marijn Schraagen, Floris Bex, Nick Van De Luijtgaarden, Daniël Prijs:
Abstractive Summarization of Dutch Court Verdicts Using Sequence-to-sequence Models. NLLP@EMNLP 2022: 76-87 - [c14]Anna Wegmann, Marijn Schraagen, Dong Nguyen:
Same Author or Just Same Topic? Towards Content-Independent Style Representations. RepL4NLP@ACL 2022: 249-268 - [i3]Anna Wegmann, Marijn Schraagen, Dong Nguyen:
Same Author or Just Same Topic? Towards Content-Independent Style Representations. CoRR abs/2204.04907 (2022) - [i2]Bram van Es, Leon C. Reteig, Sander C. Tan, Marijn Schraagen, Myrthe M. Hemker, Sebastiaan R. S. Arends, Miguel A. R. Rios, Saskia Haitjema:
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods. CoRR abs/2209.00470 (2022) - 2021
- [c13]Erik Tjong Kim Sang, Shihan Wang, Marijn Schraagen, Mehdi Dastani:
Extracting Stances on Pandemic Measures from Social Media Data. e-Science 2021: 231-232 - 2020
- [c12]Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, Mehdi Dastani:
Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media. NLP4COVID@EMNLP 2020 - [i1]Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, Mehdi Dastani:
Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data. CoRR abs/2006.07283 (2020)
2010 – 2019
- 2019
- [c11]Nienke Eijsvogel, Marijn Schraagen:
Revision Classification for Current Events in Dutch Wikipedia Using a Long Short-Term Memory Network. BNAIC/BENELEARN 2019 - [c10]Marijn Schraagen, Floris Bex:
Extraction of Semantic Relations in Noisy User-Generated Law Enforcement Data. ICSC 2019: 79-86 - 2018
- [c9]Marijn Schraagen, Daphne Odekerken, Bas Testerink, Floris Bex:
Argumentation-Driven Information Extraction for Online Crime Reports. CIKM Workshops 2018 - [c8]Marijn Schraagen, Feike Dietz, Marjo van Koppen:
Linguistic and Sociolinguistic Annotation of 17th Century Dutch Letters. LREC 2018 - 2017
- [c7]Marijn Schraagen, Marjo van Koppen, Feike Dietz:
Data-driven Morphology and Sociolinguistics for Early Modern Dutch. ListLang@NoDaLiDa 2017: 47-53 - 2016
- [c6]Marijn Schraagen:
Folktale similarity based on ontological abstraction. GWC 2016: 355-363 - 2015
- [p3]Gerrit Bloothooft, Marijn Schraagen:
Learning Name Variants from Inexact High-Confidence Matches. Population Reconstruction 2015: 61-83 - [e1]Gerrit Bloothooft, Peter Christen, Kees Mandemakers, Marijn Schraagen:
Population Reconstruction. Springer 2015, ISBN 978-3-319-19883-5 [contents] - 2014
- [c5]Marijn Schraagen, Walter A. Kosters:
Record Linkage Using Graph Consistency. MLDM 2014: 471-483 - 2013
- [c4]Marijn Schraagen, Dionysius P. Huijsmans:
Comparison between historical population archives and decentralized databases. LaTeCH@ACL 2013: 20-28 - [p2]Henk van den Heuvel, Jean-Pierre Martens, Gerrit Bloothooft, Marijn Schraagen, Nanneke Konings, Kristof D'hanens, Qian Yang:
Resources Developed in the Autonomata Projects. Essential Speech and Language Technology for Dutch 2013: 61-78 - [p1]Bert Réveil, Jean-Pierre Martens, Henk van den Heuvel, Gerrit Bloothooft, Marijn Schraagen:
Lexical Modeling for Proper name Recognition in Autonomata Too. Essential Speech and Language Technology for Dutch 2013: 251-270 - 2011
- [c3]Marijn Schraagen:
Complete Coverage for Approximate String Matching in Record Linkage Using Bit Vectors. ICTAI 2011: 740-747 - [c2]Marijn Schraagen, Gerrit Bloothooft:
A Qualitative Evaluation of Phoneme-to-Phoneme Technology. INTERSPEECH 2011: 2321-2324 - 2010
- [c1]Marijn Schraagen, Gerrit Bloothooft:
Evaluating Repetitions, or how to Improve your Multilingual ASR System by doing Nothing. LREC 2010
Coauthor Index
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last updated on 2025-01-07 01:17 CET by the dblp team
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