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2020 – today
- 2024
[j5]Zwierd Grotenhuis, Pablo J. Mosteiro, Artuur M. Leeuwenberg
:
Modest performance of text mining to extract health outcomes may be almost sufficient for high-quality prognostic model development. Comput. Biol. Medicine 170: 108014 (2024)- 2023
- [i5]Madhumita Sushil, Atul J. Butte, Ewoud Schuit, Maarten van Smeden, Artuur M. Leeuwenberg:
Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine. CoRR abs/2301.06570 (2023) - 2022
- [j4]Anne A. H. de Hond, Artuur M. Leeuwenberg, Lotty Hooft, Ilse M. J. Kant, Steven W. J. Nijman, Hendrikus J. A. van Os, Jiska J. Aardoom, Thomas P. A. Debray, Ewoud Schuit, Maarten van Smeden, Johannes B. Reitsma, Ewout W. Steyerberg, Niels H. Chavannes, Karel G. M. Moons:
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. npj Digit. Medicine 5 (2022) - 2021
- [c10]Robin De Croon, Artuur Leeuwenberg, Jan Aerts, Marie-Francine Moens, Vero Vanden Abeele, Katrien Verbert:
TIEVis: a Visual Analytics Dashboard for Temporal Information Extracted from Clinical Reports. IUI Companion 2021: 34-36 - 2020
- [j3]Artuur Leeuwenberg, Marie-Francine Moens:
Towards Extracting Absolute Event Timelines From English Clinical Reports. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2710-2719 (2020) - [c9]Artuur Leeuwenberg, Marie-Francine Moens:
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract). IJCAI 2020: 5085-5089 - [i4]Liesbeth Allein, Artuur Leeuwenberg, Marie-Francine Moens:
Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction. CoRR abs/2001.02943 (2020) - [i3]Artuur Leeuwenberg, Marie-Francine Moens:
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract). CoRR abs/2005.06527 (2020)
2010 – 2019
- 2019
- [j2]Artuur Leeuwenberg, Marie-Francine Moens:
A Survey on Temporal Reasoning for Temporal Information Extraction from Text. J. Artif. Intell. Res. 66: 341-380 (2019) - [c8]Mariya Hendriksen, Artuur Leeuwenberg, Marie-Francine Moens:
LSTM for Dialogue Breakdown Detection: Exploration of Different Model Types and Word Embeddings. IWSDS 2019: 443-453 - 2018
- [c7]Quynh Ngoc Thi Do, Artuur Leeuwenberg, Geert Heyman, Marie-Francine Moens:
A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages. COLING (Demos) 2018: 161-165 - [c6]Artuur Leeuwenberg, Marie-Francine Moens:
Word-Level Loss Extensions for Neural Temporal Relation Classification. COLING 2018: 3436-3447 - [c5]Artuur Leeuwenberg, Marie-Francine Moens:
Temporal Information Extraction by Predicting Relative Time-lines. EMNLP 2018: 1237-1246 - [i2]Artuur Leeuwenberg, Marie-Francine Moens:
Word-Level Loss Extensions for Neural Temporal Relation Classification. CoRR abs/1808.02374 (2018) - [i1]Artuur Leeuwenberg, Marie-Francine Moens:
Temporal Information Extraction by Predicting Relative Time-lines. CoRR abs/1808.09401 (2018) - 2017
- [c4]Artuur Leeuwenberg, Marie-Francine Moens:
Structured Learning for Temporal Relation Extraction from Clinical Records. EACL (1) 2017: 1150-1158 - [c3]Artuur Leeuwenberg, Marie-Francine Moens:
KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical Records. SemEval@ACL 2017: 1030-1034 - 2016
- [j1]Artuur Leeuwenberg, Mihaela Vela, Jon Dehdari, Josef van Genabith:
A Minimally Supervised Approach for Synonym Extraction with Word Embeddings. Prague Bull. Math. Linguistics 105: 111-142 (2016) - [c2]Artuur Leeuwenberg, Marie-Francine Moens:
KULeuven-LIIR at SemEval 2016 Task 12: Detecting Narrative Containment in Clinical Records. SemEval@NAACL-HLT 2016: 1280-1285 - 2015
- [c1]Artuur Leeuwenberg, Aleksey Buzmakov, Yannick Toussaint, Amedeo Napoli:
Exploring Pattern Structures of Syntactic Trees for Relation Extraction. ICFCA 2015: 153-168
Coauthor Index
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last updated on 2024-06-10 21:26 CEST by the dblp team
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