Browsing by author "Demeester, Thomas"
Now showing items 1-20 of 46
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A critical look at studies applying over-sampling on the TPEHGDB dataset
Vandewiele, Gilles; Dehaene, I.; Janssens, Olivier; Ongenae, Femke; De Backere, Femke; De Turck, Filip; Roelens, K.; Van Hoecke, Sofie; Demeester, Thomas (2019) -
A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks
Hadifar, Amir; Labat, Sofie; Hoste, Veronique; Develder, Chris; Demeester, Thomas (2021) -
A self-training approach for short text clustering
Hadifar, Amir; Sterckx, Lucas; Demeester, Thomas; Develder, Chris (2019) -
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders
De Raedt, Maarten; Godin, Frederic; Buteneers, Pieter; Develder, Chris; Demeester, Thomas (2021) -
Adversarial sets for regularising neural link predictors
Minervini, P.; Demeester, Thomas; Rocktäschel, T.; Riedel, S. (2017-08) -
Adversarial training for multi-context joint entity and relation extraction
Bekoulis, Ioannis; Deleu, Johannes; Demeester, Thomas; Develder, Chris (2018) -
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads
Bekoulis, Ioannis; Deleu, Johannes; Demeester, Thomas; Develder, Chris (2018-07) -
An emotional journey: Detecting emotion trajectories in dutch customer service dialogues
Labat, S.; Hadifar, Amir; Demeester, Thomas; Hoste, V. (2022) -
BioLORD: Learning ontological representations from definitions for biomedical concepts and their textual descriptions
Remy, Francois; Demuynck, Kris; Demeester, Thomas (2022) -
Break it down for me: a study in automated lyric annotation
Sterckx, Lucas; Naradowsky, Jason; Byrne, B.; Demeester, Thomas; Develder, Chris (2017-09) -
Chapter 7. Neuro-Symbolic AI = Neural + Logical + Probabilistic AI
Manhaeve, R.; Marra, G.; Demeester, Thomas; Dumancic, S.; Kimmig, A.; De Raedt, L. (2022) -
Character-level recurrent neural networks in practice: comparing training and sampling schemes
De Boom, Cedric; Demeester, Thomas; Dhoedt, Bart (2019) -
Clinical information extraction for preterm birth risk prediction
Sterckx, L.; Vandewiele, Gilles; Dehaene, I.; Janssens, Olivier; Ongenae, Femke; De Backere, Femke; De Turck, Filip; Roelens, K.; Decruyenaere, J.; Van Hoecke, Sofie; Demeester, Thomas (2020-10) -
CookDial: a dataset for task-oriented dialogs grounded in procedural documents
Jiang, Yiwei; Zaporojets, Klim; Deleu, Johannes; Demeester, Thomas; Develder, Chris (2022) -
"Cool glasses, where did you get them?" Generating Visually Grounded Conversation Starters for Human-Robot Dialogue
Janssens, Ruben; Wolfert, Pieter; Demeester, Thomas; Belpaeme, Tony (2022) -
Creation and evaluation of large keyphrase extraction collections with multiple opinions
Sterckx, Lucas; Demeester, Thomas; Deleu, Johannes; Develder, Chris (2018-06) -
Design of negative sampling strategies for distantly supervised skill extraction
Decorte, J.; Van Hautte, J.; Deleu, Johannes; Develder, Chris; Demeester, Thomas (2022) -
DWIE: An entity-centric dataset for multi-task document-level information extraction
Zaporojets, Klim; Deleu, Johannes; Develder, Chris; Demeester, Thomas (2021) -
EduQG: A Multi-Format Multiple-Choice Dataset for the Educational Domain
Hadifar, Amir; Kiros Bitew, Semere; Deleu, Johannes; Develder, Chris; Demeester, Thomas (2023) -
Explaining character-aware neural networks for word-level prediction: Do they discover linguistic rules?
Godin, Frederic; Demuynck, Kris; Dambre, Joni; De Neve, Wesley; Demeester, Thomas (2018-10)