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Browsing by Author "Demeester, Thomas"

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    A critical look at studies applying over-sampling on the TPEHGDB dataset

    Vandewiele, Gilles  
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    Dehaene, I.
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    Janssens, Olivier
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    Ongenae, Femke  
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    De Backere, Femke  
    Proceedings paper
    2019, AIME2019, the Conference on Artificial Intelligence in Medicine in Europe, 26/06/2019, p.355-364
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    A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks

    Hadifar, Amir  
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    Labat, Sofie
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    Hoste, Veronique
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    Develder, Chris  
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    Demeester, Thomas  
    Proceedings paper
    2021, Conference of the North-American-Chapter of the Association-for-Computational-Linguistics - Human Language Technologies (NAACL-HLT), JUN 06-11, 2021, p.220-241
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    A self-training approach for short text clustering

    Hadifar, Amir  
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    Sterckx, Lucas  
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    Demeester, Thomas  
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    Develder, Chris  
    Proceedings paper
    2019, Repl4NLP, the 4th Workshop on Representation Learning for NLP, 2/08/2019, p.1-6
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    A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders

    De Raedt, Maarten
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    Godin, Frederic
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    Buteneers, Pieter
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    Develder, Chris  
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    Demeester, Thomas  
    Proceedings paper
    2021, Conference on Empirical Methods in Natural Language Processing (EMNLP), NOV 07-11, 2021, p.10108-10114
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    Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler

    Goemaere, Cedric
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    Deleu, Johannes  
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    Demeester, Thomas  
    Proceedings paper
    2024, 1st ECAI Workshop on Machine Learning Meets Differential Equations (ML-DE) - From Theory to Applications, OCT 20, 2024
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    Adaptive Second Language Tutoring Using Generative AI and a Social Robot

    Verhelst, Eva  
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    Janssens, Ruben  
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    Demeester, Thomas  
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    Belpaeme, Tony  
    Proceedings paper
    2024, 19th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), MAR 11-15, 2024, p.1080-1084
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    Adversarial sets for regularising neural link predictors

    Minervini, P.
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    Demeester, Thomas  
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    Rocktäschel, T.
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    Riedel, S.
    Proceedings paper
    2017-08, 33rd Conference on Uncertainty in Artificial Intelligence - UAI, 11/08/2017, p.1-10
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    Adversarial training for multi-context joint entity and relation extraction

    Bekoulis, Ioannis  
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    Deleu, Johannes  
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    Demeester, Thomas  
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    Develder, Chris  
    Proceedings paper
    2018, Conference on Empirical Methods in Natural Language Processing - EMNLP, 31/10/2018, p.1-7
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    An attentive neural architecture for joint segmentation and parsing and its application to real estate ads

    Bekoulis, Ioannis  
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    Deleu, Johannes  
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    Demeester, Thomas  
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    Develder, Chris  
    Journal article
    2018-07, Expert Systems with Applications, 102, p.100-112
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    An emotional journey: Detecting emotion trajectories in dutch customer service dialogues

    Labat, S.
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    Hadifar, Amir  
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    Demeester, Thomas  
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    Hoste, V.
    Proceedings paper
    2022, W-NUT 2022, the Eighth Workshop on Noisy User-generated Text, 12-17/10/2022, p.106-112
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    BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights

    Remy, Francois  
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    Demuynck, Kris  
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    Demeester, Thomas  
    Journal article
    2024, JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, (31) 9, p.1844-1855
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    BioLORD: Learning ontological representations from definitions for biomedical concepts and their textual descriptions

    Remy, Francois  
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    Demuynck, Kris  
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    Demeester, Thomas  
    Proceedings paper
    2022, EMNLP Findings 2022, ACL Anthology, 7-11/12/2022, p.1454-1465
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    Break it down for me: a study in automated lyric annotation

    Sterckx, Lucas  
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    Naradowsky, Jason
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    Byrne, B.
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    Demeester, Thomas  
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    Develder, Chris  
    Proceedings paper
    2017-09, Conference on Empirical Methods in Natural Language Processing - EMNLP, 7/09/2017, p.1-7
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    Chapter 7. Neuro-Symbolic AI = Neural + Logical + Probabilistic AI

    Manhaeve, R.
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    Marra, G.
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    Demeester, Thomas  
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    Dumancic, S.
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    Kimmig, A.
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    De Raedt, L.
    Book chapter
    2022, IOS Press
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    Character-level recurrent neural networks in practice: comparing training and sampling schemes

    De Boom, Cedric  
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    Demeester, Thomas  
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    Dhoedt, Bart  
    Journal article
    2019, Neural Computing and Applications, (31) 8, p.4001-4017
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    Clinical information extraction for preterm birth risk prediction

    Sterckx, L.
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    Vandewiele, Gilles  
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    Dehaene, I.
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    Janssens, Olivier
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    Ongenae, Femke  
    Journal article
    2020-10, Journal of Biomedical Informatics, 110, p.103544
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    Clinical Reasoning over Tabular Data and Text with Bayesian Networks

    Rabaey, Paloma  
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    Deleu, Johannes  
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    Heytens, Stefan
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    Demeester, Thomas  
    Proceedings paper
    2024, 22nd International Conference on Artificial Intelligence in Medicine (AIME), JUL 09-12, 2024, p.229-250
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    CookDial: a dataset for task-oriented dialogs grounded in procedural documents

    Jiang, Yiwei  
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    Zaporojets, Klim  
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    Deleu, Johannes  
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    Demeester, Thomas  
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    Develder, Chris  
    Journal article
    2022, APPLIED INTELLIGENCE, 2022, p.4748-4766
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    "Cool glasses, where did you get them?" Generating Visually Grounded Conversation Starters for Human-Robot Dialogue

    Janssens, Ruben  
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    Wolfert, Pieter  
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    Demeester, Thomas  
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    Belpaeme, Tony  
    Proceedings paper
    2022, 17th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), MAR 07-10, 2022, p.821-825
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    Creation and evaluation of large keyphrase extraction collections with multiple opinions

    Sterckx, Lucas  
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    Demeester, Thomas  
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    Deleu, Johannes  
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    Develder, Chris  
    Journal article
    2018-06, Language Resources and Evaluation, (52) 2, p.503-532
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