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Marijn Schraagen
Marijn Schraagen
Verified email at phil.uu.nl
Title
Cited by
Cited by
Year
Population reconstruction
G Bloothooft, P Christen, K Mandemakers, M Schraagen
Springer 10, 978-3, 2015
322015
The CLIN27 shared task: Translating historical text to contemporary language for improving automatic linguistic annotation
ETK Sang, M Bollmann, R Boschker, F Casacuberta, F Dietz, S Dipper, ...
Computational Linguistics in the Netherlands Journal 7, 53-64, 2017
282017
Public sentiment on governmental COVID-19 measures in Dutch social media
S Wang, M Schraagen, ETK Sang, M Dastani
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020
272020
Same Author or Just Same Topic? Towards Content-Independent Style Representations
A Wegmann, M Schraagen, D Nguyen
arXiv preprint arXiv:2204.04907, 2022
212022
Transforming epilepsy research: A systematic review on natural language processing applications
ANJ Yew, M Schraagen, WM Otte, E van Diessen
Epilepsia 64 (2), 292-305, 2023
182023
Evaluation of Named Entity Recognition in Dutch online criminal complaints
MP Schraagen, MJS Brinkhuis, FJ Bex
Computational Linguistics in the Netherlands Journal 7, 3-16, 2017
162017
Aspects of record linkage
M Schraagen
Diss. Leiden University. http://hdl. handle. net/1887/29716, 2014
152014
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
B van Es, LC Reteig, SC Tan, M Schraagen, MM Hemker, SRS Arends, ...
BMC bioinformatics 24 (1), 10, 2023
132023
Dutch general public reaction on governmental covid-19 measures and announcements in twitter data
S Wang, M Schraagen, ETK Sang, M Dastani
arXiv preprint arXiv:2006.07283, 2020
132020
Extraction of semantic relations in noisy user-generated law enforcement data
M Schraagen, F Bex
2019 IEEE 13th International Conference on Semantic Computing (ICSC), 79-86, 2019
112019
Learning name variants from inexact high-confidence matches
G Bloothooft, M Schraagen
Population reconstruction, 61-83, 2015
102015
Argumentation-Driven Information Extraction for Online Crime Reports.
M Schraagen, D Odekerken, B Testerink, F Bex
CIKM Workshops, 2018
92018
Name fashion dynamics and social class
G Bloothooft, M Schraagen
Proceedings of the XXIV-International Conference of Onomastic Sciences, 2011
72011
Record linkage using graph consistency
M Schraagen, W Kosters
Machine Learning and Data Mining in Pattern Recognition: 10th International …, 2014
62014
Predicting record linkage potential in a family reconstruction graph
M Schraagen, HJ Hoogeboom
Proceedings of 23rd Benelux Conference on Artificial Intelligence (BNAIC …, 2011
62011
Complete coverage for approximate string matching in record linkage using bit vectors
M Schraagen
2011 IEEE 23rd International Conference on Tools with Artificial …, 2011
52011
Evaluating Repetitions, or how to Improve your Multilingual ASR System by doing Nothing.
M Schraagen, G Bloothooft
LREC, 2010
52010
Classification in a Skewed Online Trade Fraud Complaint Corpus
W Kos, MP Schraagen, MJS Brinkhuis, FJ Bex
Preproceedings of the 29th Benelux Conference on Artificial Intelligence …, 2017
42017
Learning name variants from true person resolution
G Bloothooft, M Schraagen
Proceedings of the International Workhop on Population Reconstruction …, 2014
42014
Data-driven name reduction for record linkage
M Schraagen, W Kosters
Second International Conference on the Innovative Computing Technology …, 2012
42012
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