Browsing by author "Demeester, Thomas"
Now showing items 21-40 of 46
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Exploration of block-wise dynamic sparseness
Hadifar, Amir; Deleu, Johannes; Develder, Chris; Demeester, Thomas (2021) -
Injecting knowledge base information into end-to-end joint entity and relation extraction and coreference resolution
Verlinden, Simon; Zaporojets, Klim; Deleu, Johannes; Demeester, Thomas; Develder, Chris (2021) -
JobBERT: Understanding job titles through skills
Decorte, J.-J.; Van Hautte, J.; Demeester, Thomas; Develder, Chris (2021) -
Joint entity recognition and relation extraction as a multi-head selection problem
Bekoulis, Ioannis; Deleu, Johannes; Demeester, Thomas; Develder, Chris (2018-12) -
Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales
De Boom, Cedric; Agrawal, R.; Hansen, S.; Kumar, E.; Yon, R.; Chen, C.-W.; Demeester, Thomas; Dhoedt, Bart (2018) -
Lazy low-resource coreference resolution: A study on leveraging black-box translation tools
Bitew, S.K.; Deleu, Johannes; Develder, Chris; Demeester, Thomas (2021) -
Modeling and predicting the popularity of online news based on temporal and content-related features
Van Canneyt, Steven; Leroux, Philip; Dhoedt, Bart; Demeester, Thomas (2018-01) -
Neural Bayesian network understudy
Rabaey, Paloma; De Boom, Cedric; Demeester, Thomas (2022) -
Neural probabilistic logic programming in DeepProbLog
Manhaeve, Robin; Dumancic, Sebastijan; Kimmig, Angelika; Demeester, Thomas; De Raedt, Luc (2021) -
Neuro-Symbolic = Neural + Logical + Probabilistic
De Raedt, Luc; Manhaeve, R.; Dumancic, S.; Demeester, Thomas; Kimmig, A. (2019) -
Next-year bankruptcy prediction from textual data: Benchmark and baselines
Arno, Henri; Mulier, K.; Baeck, J.; Demeester, Thomas (2022) -
Predefined sparseness in recurrent sequence model
Demeester, Thomas; Deleu, Johannes; Godin, Frederic; Develder, Chris (2018) -
Predicting psychological health from childhood essays: The UGent-IDLab CLPsych 2018 shared task system
Zaporojets, Klim; Sterckx, Lucas; Deleu, Johannes; Demeester, Thomas; Develder, Chris (2018-06) -
Predicting suicide risk from online postings in Reddit: The UGent-IDLab submission to the CLPysch 2019 Shared Task A
Kiros Bitew, Semere; Bekoulis, Ioannis; Deleu, Johannes; Sterckx, Lucas; Zaporojets, Klim; Demeester, Thomas; Develder, Chris (2019) -
Recipe instruction semantics corpus (RISeC): Resolving semantic structure and zero anaphora in recipes
Jiang, Y.; Deleu, Johannes; Demeester, Thomas; Develder, Chris (2020) -
Robustifying sentiment classification by maximally exploiting few counterfactuals
De Raedt, Maarten; Godin, F.; Develder, Chris; Demeester, Thomas (2022) -
Solving arithmetic word problems by scoring equations with recursive neural networks
Zaporojets, Klim; Bekoulis, Ioannis; Deleu, Johannes; Demeester, Thomas; Develder, Chris (2021) -
Sub-event detection from Twitter streams as a sequence labeling problem
Bekoulis, Ioannis; Deleu, Johannes; Demeester, Thomas; Develder, Chris (2019) -
System Identification with Time-Aware Neural Sequence Models
Demeester, Thomas (2020) -
TempEL: Linking dynamically evolving and newly emerging entities
Zaporojets, Klim; Kaffee, L.A.; Demeester, Thomas; Develder, Chris; Augenstein, I. (2022)