Thomas Demeester
Thomas Demeester
Assistant professor, Ghent University
確認したメール アドレス: ugent.be
タイトル
引用先
引用先
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
1332016
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
942018
Lifted rule injection for relation embeddings
T Demeester, T Rocktäschel, S Riedel
Conf. on Empirical Methods in Natural Language Processing (EMNLP 2016), 2016
862016
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
652015
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
592017
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
542008
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
502018
Overview of the TREC 2014 federated Web search track
T Demeester, D Trieschnigg, D Nguyen, K Zhou, D Hiemstra
GHENT UNIV (BELGIUM), 2014
472014
Taily: Shard Selection Using the Tail of Score Distributions
R Aly, D Hiemstra, T Demeester
SIGIR 2013, 2013
462013
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
462012
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
332018
Supervised keyphrase extraction as positive unlabeled learning
L Sterckx, T Demeester, C Develder, C Caragea
EMNLP2016, the conference on empirical methods in natural language …, 2016
322016
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
232015
Internal impedance of composite conductors with arbitrary cross section
T Demeester, D De Zutter
IEEE transactions on electromagnetic compatibility 51 (1), 101-107, 2009
192009
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
152016
Construction of the Dirichlet to Neumann boundary operator for triangles and applications in the analysis of polygonal conductors
T Demeester, D De Zutter
IEEE transactions on microwave theory and techniques 58 (1), 116-127, 2009
142009
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads
G Bekoulis, J Deleu, T Demeester, C Develder
Expert Systems with Applications 102, 100-112, 2018
132018
Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales
C De Boom, R Agrawal, S Hansen, E Kumar, R Yon, CW Chen, ...
Multimedia Tools and Applications 77 (12), 15385-15407, 2018
132018
Aligning vertical collection relevance with user intent
K Zhou, T Demeester, D Nguyen, D Hiemstra, D Trieschnigg
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
132014
Using active learning and semantic clustering for noise reduction in distant supervision
L Sterckx, T Demeester, J Deleu, C Develder
4e Workshop on Automated Knowledge Base Construction at NIPS2014 (AKBC-2014 …, 2014
132014
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