Ghent University Academic Bibliography

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Robustifying sentiment classification by maximally exploiting few counterfactuals

Maarten De Raedt (UGent) , Fréderic Godin, Chris Develder (UGent) and Thomas Demeester (UGent)

(2022)
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- P1
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A simple geometric method for cross-lingual linguistic transformations with pre-trained autoencoders

Maarten De Raedt (UGent) , Fréderic Godin, Pieter Buteneers, Chris Develder (UGent) and Thomas Demeester (UGent)

(2021) 2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021). p.10108-10114
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- PhD Thesis
Verbetering en interpretatie van neurale netwerken voor voorspellingsopdrachten op woordniveau in natuurlijketaalverwerking

Fréderic Godin

(2019)
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Dual Rectified Linear Units (DReLUs) : a replacement for tanh activation functions in quasi-recurrent neural networks

Fréderic Godin, Jonas Degrave (UGent) , Joni Dambre (UGent) and Wesley De Neve (UGent)

(2018) PATTERN RECOGNITION LETTERS. 116. p.8-14
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Predefined sparseness in recurrent sequence model

Thomas Demeester (UGent) , Johannes Deleu (UGent) , Fréderic Godin and Chris Develder (UGent)

(2018) Proceedings of the 22nd Conference on Computational Natural Language Learning. p.324-333
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Explaining character-aware neural networks for word-level prediction : do they discover linguistic rules?

Fréderic Godin, Kris Demuynck (UGent) , Joni Dambre (UGent) , Wesley De Neve (UGent) and Thomas Demeester (UGent)

(2018) p.3275-3284
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SpliceRover : interpretable convolutional neural networks for improved splice site prediction

Jasper Zuallaert (UGent) , Fréderic Godin, Mi Jung Kim (UGent) , Arne Soete (UGent) , Yvan Saeys (UGent) and Wesley De Neve (UGent)

(2018) BIOINFORMATICS. 34(24). p.4180-4188
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Improving language modeling using densely connected recurrent neural networks

Fréderic Godin, Joni Dambre (UGent) and Wesley De Neve (UGent)

(2017) p.186-190
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Normalized semantic web distance

Tom De Nies (UGent) , Christian Beecks, Fréderic Godin, Wesley De Neve (UGent) , Grzegorz Stepien, Dörthe Arndt (UGent) , Laurens De Vocht (UGent) , Ruben Verborgh (UGent) , Thomas Seidl, Erik Mannens (UGent) , et al.

(2016) Lecture Notes in Computer Science. In Lecture Notes in Computer Science 9678. p.69-84
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A distance-based approach for semantic dissimilarity in knowledge graphs

Tom De Nies (UGent) , Christian Beecks, Fréderic Godin, Wesley De Neve (UGent) , Grzegorz Stepien, Dörthe Arndt (UGent) , Laurens De Vocht (UGent) , Ruben Verborgh (UGent) , Thomas Seidl, Erik Mannens (UGent) , et al.

(2016) IEEE International Conference on Semantic Computing. p.253-256

Academic Bibliography

Robustifying sentiment classification by maximally exploiting few counterfactuals

A simple geometric method for cross-lingual linguistic transformations with pre-trained autoencoders

Verbetering en interpretatie van neurale netwerken voor voorspellingsopdrachten op woordniveau in natuurlijketaalverwerking

Dual Rectified Linear Units (DReLUs) : a replacement for tanh activation functions in quasi-recurrent neural networks

Predefined sparseness in recurrent sequence model

Explaining character-aware neural networks for word-level prediction : do they discover linguistic rules?

SpliceRover : interpretable convolutional neural networks for improved splice site prediction

Improving language modeling using densely connected recurrent neural networks

Normalized semantic web distance

A distance-based approach for semantic dissimilarity in knowledge graphs

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