Fréderic Godin
Fréderic Godin
Chatlayer.ai, previously Ghent University
Bestätigte E-Mail-Adresse bei chatlayer.ai - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
210*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
174*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
322018
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
282014
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
242014
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
14*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
122018
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
11*2019
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
102016
Improving and Interpreting Neural Networks for Word-Level Prediction Tasks in Natural Language Processing
F Godin
Ghent University, 2019
92019
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
82014
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
72014
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
62013
Improving language modeling using densely connected recurrent neural networks
F Godin, J Dambre, W De Neve
arXiv preprint arXiv:1707.06130, 2017
52017
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
MediaEval, 2013
42013
Predefined sparseness in recurrent sequence models
T Demeester, J Deleu, F Godin, C Develder
arXiv preprint arXiv:1808.08720, 2018
32018
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 1198, 1-10, 2014
32014
Towards automatic assessment of the social media impact of news content
T De Nies, G Haesendonck, F Godin, W De Neve, E Mannens, ...
Proceedings of the 22nd International Conference on World Wide Web, 871-874, 2013
32013
Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features.
B Vandersmissen, A Tomar, F Godin, W De Neve, R Van de Walle
MediaEval, 2014
22014
Drelus: Dual rectified linear units
F Godin, J Degrave, W De Neve
arXiv preprint arXiv:1707.08214, 2017
12017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20