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Thomas Demeester
Thomas Demeester
Associate professor, Ghent University - imec
Bestätigte E-Mail-Adresse bei ugent.be - Startseite
Titel
Zitiert von
Zitiert von
Jahr
DeepProbLog: Neural Probabilistic Logic Programming
R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt
Conf. Neural Information Processing Systems (NIPS 2018) [spotlight presentation], 2018
7112018
Joint entity recognition and relation extraction as a multi-head selection problem
G Bekoulis, J Deleu, T Demeester, C Develder
Expert Systems with Applications, Volume 114, 30 December 2018, Pages 34-45, 2018
5042018
Representation learning for very short texts using weighted word embedding aggregation
C De Boom, S Van Canneyt, T Demeester, B Dhoedt
Pattern Recognition Letters 80, 150-156, 2016
2682016
Adversarial training for multi-context joint entity and relation extraction
G Bekoulis, J Deleu, T Demeester, C Develder
2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 2018
2312018
Lifted rule injection for relation embeddings
T Demeester, T Rocktäschel, S Riedel
Conf. on Empirical Methods in Natural Language Processing (EMNLP 2016), 2016
1852016
Neural probabilistic logic programming in DeepProbLog
R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt
Artificial Intelligence 298, 103504, 2021
1582021
Adversarial sets for regularising neural link predictors
P Minervini, T Demeester, T Rocktäschel, S Riedel
33rd Conf. on Uncertainty in Artificial Intelligence (UAI 2017), 2017
1232017
A self-training approach for short text clustering
A Hadifar, L Sterckx, T Demeester, C Develder
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019
1172019
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling
G Vandewiele, I Dehaene, G Kovács, L Sterckx, O Janssens, F Ongenae, ...
Artificial Intelligence in Medicine 111, 101987, 2021
110*2021
Learning semantic similarity for very short texts
C De Boom, S Van Canneyt, S Bohez, T Demeester, B Dhoedt
2015 ieee international conference on data mining workshop (icdmw), 1229-1234, 2015
1092015
Topical word importance for fast keyphrase extraction
L Sterckx, T Demeester, J Deleu, C Develder
Proceedings of the 24th international conference on world wide web, 121-122, 2015
862015
Neuro-Symbolic= Neural+ Logical+ Probabilistic.
L De Raedt, R Manhaeve, S Dumancic, T Demeester, A Kimmig
NeSy@ IJCAI, 2019
852019
DWIE: An entity-centric dataset for multi-task document-level information extraction
K Zaporojets, J Deleu, C Develder, T Demeester
Information Processing & Management 58 (4), 102563, 2021
732021
Taily: Shard Selection Using the Tail of Score Distributions
R Aly, D Hiemstra, T Demeester
SIGIR 2013, 2013
712013
Supervised keyphrase extraction as positive unlabeled learning
L Sterckx, C Caragea, T Demeester, C Develder
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
662016
Quasi-TM transmission line parameters of coupled lossy lines based on the Dirichlet to Neumann boundary operator
T Demeester, D De Zutter
IEEE Transactions on Microwave Theory and Techniques 56 (7), 1649-1660, 2008
662008
Overview of the trec 2014 federated web search track
T Demeester, D Trieschnigg, D Nguyen, D Hiemstra, K Zhou
Proceedings of The Twenty-Third Text REtrieval Conference, TREC 2014 …, 2014
642014
Federated Search in the Wild: The Combined Power of over a Hundred Search Engines
D Nguyen, T Demeester, D Trieschnigg, D Hiemstra
CIKM 2012, 1874-1878, 2012
582012
Modeling and analysis of residential flexibility: Timing of white good usage
N Sadeghianpourhamami, T Demeester, DF Benoit, M Strobbe, ...
Applied energy 179, 790-805, 2016
462016
Modeling and predicting the popularity of online news based on temporal and content-related features
S Van Canneyt, P Leroux, B Dhoedt, T Demeester
Multimedia Tools and Applications 77, 1409-1436, 2018
362018
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