| A Minimally Supervised Approach for Synonym Extraction with Word Embeddings A Leeuwenberg, M Vela, J Dehdari, J van Genabith The Prague Bulletin of Mathematical Linguistics, 111-142, 2016 | 41 | 2016 |
| Structured learning for temporal relation extraction from clinical records A Leeuwenberg, MF Moens Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 36 | 2017 |
| Temporal Information Extraction by Predicting Relative Time-lines A Leeuwenberg, MF Moens Proceedings of the Conference on Empirical Methods in Natural Language …, 2018 | 14 | 2018 |
| Kuleuven-liir at semeval 2016 task 12: Detecting narrative containment in clinical records A Leeuwenberg, MF Moens Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 10 | 2016 |
| Exploring pattern structures of syntactic trees for relation extraction A Leeuwenberg, A Buzmakov, Y Toussaint, A Napoli International Conference on Formal Concept Analysis, 153-168, 2015 | 10 | 2015 |
| KULeuven-LIIR at SemEval-2017 task 12: Cross-domain temporal information extraction from clinical records A Leeuwenberg, MF Moens Proceedings of SemEval-2017 International Workshop on Semantic Evaluation …, 2017 | 8 | 2017 |
| Binary and multitask classification model for Dutch anaphora resolution: Die/Dat prediction L Allein, A Leeuwenberg, MF Moens arXiv preprint arXiv:2001.02943, 2020 | 5 | 2020 |
| A Survey on Temporal Reasoning for Temporal Information Extraction from Text A Leeuwenberg, MF Moens The Journal of Artificial Intelligence Research 66, 341-380, 2019 | 5 | 2019 |
| Word-level loss extensions for neural temporal relation classification A Leeuwenberg, MF Moens Proceedings of the 27th International Conference on Computational Linguistics, 2018 | 5 | 2018 |
| Prediction models for COVID-19 clinical decision making AM Leeuwenberg, E Schuit The Lancet Digital Health 2 (10), e496-e497, 2020 | 2 | 2020 |
| LSTM for Dialogue Breakdown Detection: Exploration of Different Model Types and Word Embeddings M Hendriksen, A Leeuwenberg, MF Moens Proceedings of the Workshop on Chatbots and Conversational Agents, 2019 | 2 | 2019 |
| A flexible and easy-to-use semantic role labeling framework for different languages QNT Do, A Leeuwenberg, G Heyman, MF Moens Proceedings of the 27th International Conference on Computational …, 2018 | 2 | 2018 |
| Saarland University’s Participation in the Second Shared Task on Source, Subjective Expression and Target Extraction from Political Speeches (STEPS-2016) M Wiegand, NM Aliman, T Anikina, P Carroll, M Chikobava, E Hahn, ... Bochumer Linguistische Arbeitsberichte, 14, 2016 | 2 | 2016 |
| Comparing methods addressing multi-collinearity when developing prediction models AM Leeuwenberg, M van Smeden, JA Langendijk, A van der Schaaf, ... arXiv preprint arXiv:2101.01603, 2021 | | 2021 |
| Automatically correcting Dutch pronouns" die" and" dat" L Allein, A Leeuwenberg, MF Moens Computational Linguistics in the Netherlands Journal 10, 19-36, 2020 | | 2020 |
| Towards Extracting Absolute Event Timelines From English Clinical Reports A Leeuwenberg, MF Moens IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2710-2719, 2020 | | 2020 |
| Dutch Anaphora Resolution: A Neural Network Approach towards Automatic die/dat Prediction L Allein, A Leeuwenberg, MF Moens The 30th Meeting of Computational Linguistics in The Netherlands (CLIN 30 …, 2020 | | 2020 |
| From Text to Time: Machine Learning Approaches to Temporal Information Extraction from Text A Leeuwenberg | | 2019 |
| How to use DAMESRL: A framework for deep multilingual semantic role labeling QNTDA Leeuwenberg, GHMF Moens CLARIN Annual Conference 2018, 159, 2018 | | 2018 |
| A Practical Course in Corpus Linguistics for Students with a Humanist Background. M Vela, H Kermes, OM Sulea, M Zampieri, M Vela, J van Genabith, ... Teach4DH@ GSCL, 49-56, 2017 | | 2017 |
Marie-Francine MoensProfessor of Computer Science KU LeuvenVerified email at cs.kuleuven.be
