A deep dive into word sense disambiguation with LSTM M Le, M Postma, J Urbani, P Vossen Proceedings of the 27th international conference on computational …, 2018 | 53 | 2018 |
Tackling error propagation through reinforcement learning: A case of greedy dependency parsing M Lê, A Fokkens arXiv preprint arXiv:1702.06794, 2017 | 24 | 2017 |
When it's all piling up: investigating error propagation in an NLP pipeline. T Caselli, P Vossen, M van Erp, A Fokkens, F Ilievski, R Izquierdo, M Le, ... WNACP@ NLDB, 2015 | 11 | 2015 |
Neural models of selectional preferences for implicit semantic role labeling M Le, A Fokkens Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 8 | 2018 |
Taxonomy Beats Corpus in Similarity Identification, but Does It Matter? M Lê, A Fokkens Proceedings of the International Conference Recent Advances in Natural …, 2015 | 5 | 2015 |
The Impact of Recommenders on Scientific Article Discovery: The Case of Mendeley Suggest. M Le, S Kayal, A Douglas ImpactRS@ RecSys 19, 2019 | 3 | 2019 |
Word sense disambiguation with LSTM: do we really need 100 billion words? M Le, M Postma, J Urbani arXiv preprint arXiv:1712.03376, 2017 | 3 | 2017 |
Error propagation MN Lê | 1 | 2021 |
Robust Deep Neural Networks Inspired by Fuzzy Logic M Le arXiv preprint arXiv:1911.08635, 2019 | | 2019 |
Words in context: a reference perspective on the lexicon P Vossen, T Caselli, F Ilievski, R Izquierdo, A Lopopolo, E van Miltenburg, ... Maplex, 2015 | | 2015 |