Fréderic Godin
Fréderic Godin, previously Ghent University
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Using topic models for twitter hashtag recommendation
F Godin, V Slavkovikj, W De Neve, B Schrauwen, R Van de Walle
Proceedings of the 22nd international conference on world wide web, 593-596, 2013
Named Entity Recognition for Twitter Microposts using Distributed Word Representations
F Godin, B Vandersmissen, W De Neve, R Van de Walle
ACL-IJCNLP 2015, 146-153, 2015
SpliceRover: interpretable convolutional neural networks for improved splice site prediction
J Zuallaert, F Godin, M Kim, A Soete, Y Saeys, W De Neve
Bioinformatics 34 (24), 4180-4188, 2018
Dual rectified linear units (DReLUs): A replacement for tanh activation functions in quasi-recurrent neural networks
F Godin, J Degrave, J Dambre, W De Neve
Pattern Recognition Letters 116, 8-14, 2018
Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network
A Tomar, F Godin, B Vandersmissen, W De Neve, R Van De Walle
2014 International Conference on Advances in Computing, Communications and …, 2014
Improving and Interpreting Neural Networks for Word-Level Prediction Tasks in Natural Language Processing
F Godin
Ghent University, 2019
Beating the Bookmakers: Leveraging Statistics and Twitter Microposts for Predicting Soccer Results
F Godin, J Zuallaert, B Vandersmissen, W De Neve, R Van de Walle
Workshop on Large-Scale Sports Analytics, KDD, 2014
Learning when not to answer: a ternary reward structure for reinforcement learning based question answering
F Godin, A Kumar, A Mittal
arXiv preprint arXiv:1902.10236, 2019
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules
F Godin, K Demuynck, J Dambre, W De Neve, T Demeester
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
The rise of mobile and social short-form video: an in-depth measurement study of vine
B Vandersmissen, F Godin, A Tomar, W De Neve, R Van de Walle
Workshop on Social Multimedia and Storytelling (SoMuS 2014) 1198, 1-10, 2014
A distance-based approach for semantic dissimilarity in knowledge graphs
T De Nies, C Beecks, F Godin, W De Neve, G Stepien, D Arndt, ...
2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 254-257, 2016
Alleviating Manual Feature Engineering for Part-of-Speech Tagging of Twitter Microposts using Distributed Word Representations
F Godin, B Vandersmissen, A Jalalvand, W De Neve, R Van de Walle
Workshop on Modern Machine Learning and Natural Language Processing (NIPS 2014), 2014
The Normalized Freebase Distance
F Godin, T De Nies, C Beecks, L De Vocht, W De Neve, E Mannens, ...
Extended Semantic Web Conference (ESWC), 2014
Leveraging Existing Tools for Named Entity Recognition in Microposts.
F Godin, P Debevere, E Mannens, W De Neve, R Van de Walle
Workshop on Making Sense of Microposts (#MSM), WWW, 36-39, 2013
IDAS: Intent discovery with abstractive summarization
M De Raedt, F Godin, T Demeester, C Develder
arXiv preprint arXiv:2305.19783, 2023
Improving language modeling using densely connected recurrent neural networks
F Godin, J Dambre, W De Neve
arXiv preprint arXiv:1707.06130, 2017
Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering
B Vandersmissen, A Tomar, F Godin, W De Neve, R Van de Walle
Multimedia Benchmark Workshop (MediaEval 2013) 1043, 2013
How can Twitter data and viewing rates enrich one another? A conceptual and empirical comparison between viewing rates and Twitter data for TV audience research
E D'heer, F Godin, T Evens, W De Neve, P Verdegem, R Van de Walle
ICA, 2015
Robustifying sentiment classification by maximally exploiting few counterfactuals
M De Raedt, F Godin, C Develder, T Demeester
arXiv preprint arXiv:2210.11805, 2022
Predefined sparseness in recurrent sequence models
T Demeester, J Deleu, F Godin, C Develder
arXiv preprint arXiv:1808.08720, 2018
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