Publications

Here are my publications, listed back in time. In recent years, my focus has been on natural language processing, machine learning and AI in general, including some neuro-symbolic work, and applications in health. Earlier on, there was information retrieval and extraction, and even before that, my Ph.D. research in computational electromagnetics.

My Google Scholar page is probably the most up-to-date.

2024

  • Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Johan Decruyenaere, Christiaan Polet, Stijn Vansteelandt.  "Debiasing Synthetic Data Generated by Deep Generative Models", The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024. [online]
  • Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester.  "The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data", The 40th Conference on Uncertainty in Artificial Intelligence, 2024. [online] [pdf]
  • Francois Remy, Kris Demuynck, Thomas Demeester.  "BioLORD-2023 : semantic textual representations fusing large language models and clinical knowledge graph insights", Journal of the American Medical Informatics Association, {2024}. [pdf] (a1)
  • Sofie Labat, Thomas Demeester, Veronique Hoste.  "EmoTwiCS: a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter", Language Resources and Evaluation, 2024. [pdf] (a1)
  • Yiwei Jiang, Maarten De Raedt, Johannes Deleu, Thomas Demeester, Chris Develder.  "Few-shot out-of-scope intent classification: Analyzing the robustness of prompt-based learning", Appl. Intell., 2024. [pdf] (a1)
  • Maarten De Raedt, Frederic Godin, Chris Develder, Thomas Demeester.  "Revisiting clustering for efficient unsupervised dialogue structure induction", Appl. Intell., 2024. [pdf] (a1)
  • Paloma Rabaey, Peter Decat, Stefan Heytens, Dirk Vogelaers, Ann Mariman, Thomas Demeester.  "Time-dependent complexity characterisation of activity patterns in patients with Chronic Fatigue Syndrome", BioPsychoSoc. Med., 2024. [pdf] (a1)
  • A. Decruyenaere, H. Dehaene, P. Rabaey, C. Polet, J. Decruyenaere, T. Demeester, S. Vansteelandt, S. Rottey.  "672P Inference failure with synthetic arms: Empirical application to phase III oncology trials", Annals of Oncology, 2024. [online] [pdf] (a1)
  • Joke Baeck, Henri Arno, Tibe Habils, Klaas Mulier, Thomas Demeester.  "Ontwikkeling van een AI-model voor de kamer voor ondernemingen in moeilijkheden bij de ondernemingsrechtbank", Tijdschrift voor Privaatrecht, {2024}. (a1)
  • Francois Remy, Pieter Delobelle, Hayastan Avetisyan, Alfiya Khabibullina, Miryam de Lhoneux, Thomas Demeester.  "Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP", First Conference on Language Modeling (COLM 2024), 2024. [online] [pdf]
  • Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester.  "On the Biased Assessment of Expert Finding Systems", 4th Workshop on Recommender Systems for Human Resources (ReSys in HR), 2024. [pdf]
  • Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder.  "SkillMatch: Evaluating Self-supervised Learning of Skill Relatedness", Workshop on AI for Human Resources and Public Employment Services at ECML-PKDD 2024, 2024. [pdf]
  • Cedric Goemaere, Johannes Deleu, Thomas Demeester.  "Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler", Machine Learning Meets Differential Equations workshop at ECAI, 2024. [pdf]
  • Henri Arno, Paloma Rabaey, Thomas Demeester.  "From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding", Causal Representation Learning workshop at NeurIPS, 2024. [pdf]
  • Paloma Rabaey, Stefan Heytens, Thomas Demeester.  "SynSUM--Synthetic Benchmark with Structured and Unstructured Medical Records", (under review), 2024. [pdf]
  • Karel D'Oosterlinck, Winnie Xu, Chris Develder, Thomas Demeester, Amanpreet Singh, Christopher Potts, Douwe Kiela, Shikib Mehri.  "Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment", (under review), 2024. [pdf]
  • Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester.  "Clinical Reasoning over Tabular Data and Text with Bayesian Networks", Artificial Intelligence in Medicine (AIME 2024), 2024. [pdf]
  • Eva Verhelst, Ruben Janssens, Thomas Demeester, Tony Belpaeme.  "Adaptive Second Language Tutoring Using Generative AI and a Social Robot", Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024.
  • Wiedler, Jensen and Van den Herrewegen, Jarne and Tourwe, Tom and Demeester, Thomas and wyffels, Francis.  "Adapting multimodal foundation models for text-to-3D retrieval with domain-specific vocabulary", CV4Metaverse Workshop at European Conference of Computer Vision, {2024}. [pdf]

2023

  • Amir Hadifar, Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester.  "EduQG: A multi-format multiple-choice dataset for the educational domain", IEEE Access, 2023. [pdf] (a1)
  • Yiwei Jiang, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder.  "CookDial: A dataset for task-oriented dialogs grounded in procedural documents", Appl. Intell., 2023. [pdf] (a1)
  • Quanqi Du, Sofie Labat, Thomas Demeester, Veronique Hoste.  "Unimodalities count as perspectives in multimodal emotion annotation", Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP (NLPerspectives 2023), co-located with the 26th European Conference on Artificial Intelligence (ECAI 2023), {2023}. [pdf]
  • Alexander Decruyenaere, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester, Heidelinde Dehaene.  "Synthetic Data: Can We Trust Statistical Estimators?", Deep Generative Models for Health workshop at NeurIPS 2023, 2023. [pdf]
  • Felix Koulischer, C'edric Goemaere, Tom Van Der Meersch, Johannes Deleu, Thomas Demeester.  "Exploring the Temperature-Dependent Phase Transition in Modern Hopfield Networks", Associative Memory & Hopfield Networks workshop at NeurIPS 2023, 2023. [pdf]
  • C'edric Goemaere, Johannes Deleu, Thomas Demeester.  "Accelerating Hierarchical Associative Memory: A Deep Equilibrium Approach", Associative Memory & Hopfield Networks workshop at NeurIPS 2023, 2023. [pdf]
  • Tom Van Der Meersch, Johannes Deleu, Thomas Demeester.  "Training a Hopfield Variational Autoencoder with Equilibrium Propagation", Associative Memory & Hopfield Networks workshop at NeurIPS 2023, 2023. [pdf]
  • Karel D'Oosterlinck, Thomas Demeester, Chris Develder, Christopher Potts.  "Flexible model interpretability through natural language model editing", Proc. 6th BlackboxNLP Workshop: Anal. and Interpret. Neural Netw. for NLP (BlackboxMLP 2023) at EMNLP 2023, 2023. [pdf]
  • Maarten De Raedt, Semere Kiros Bitew, Frederic Godin, Thomas Demeester, Chris Develder.  "Zero-shot cross-lingual sentiment classification under distribution shift: An exploratory study", Proc. 3rd Multiling. Represent. Learn. Workshop (MRL 2023) at EMNLP 2023, 2023. [online] [pdf]
  • Jens-Joris Decorte, Jeroen Van Haute, Johannes Deleu, Chris Develder, Thomas Demeester.  "Career path prediction using resume representation learning and skill-based matching", Proc. 3rd Workshop Recomm. Syst. Human Resour. (RecSys in HR 2023) at ACM RecSys 2023, 2023. [pdf]
  • Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, Christopher Potts, Thomas Demeester, Chris Develder.  "CAW-coref: Conjunction-aware word-level coreference resolution", Proc. 6th Workshop Comput. Models Ref. Anaphora and Coref. (CRAC 2023) at EMNLP 2023, 2023. [online] [pdf]
  • Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester.  "Distractor generation for multiple-choice questions with predictive prompting and large language models", Proc. 1st Int. Tut. Workshop on Responsible Knowledge Discovery in Education (RKDE 2023) at ECML-PKDD 2023, 2023. [pdf]
  • Jens-Joris Decorte, Severine Verlinden, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester.  "Extreme multi-label skill extraction training using large language models", Proc. Int. Workshop AI For Human Resour. Public Employ. Serv. (AI4HR & PES) at ECML-PKDD 2023, 2023. [pdf]
  • Semere Kiros Bitew, Johannes Deleu, A. Seza Dogruoz, Chris Develder, Thomas Demeester.  "Learning from partially annotated data: Example-aware creation of gap-filling exercises for language learning", Proc. 18th Workshop Innovative Use of NLP for Building Educational Applications (BEA 2023) at ACL 2023, 2023. [online] [pdf]
  • Francois Remy, Kris Demuynck, Thomas Demeester.  "Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge", The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023. [online] [pdf]
  • Maarten De Raedt, Frederic Godin, Thomas Demeester, Chris Develder.  "IDAS: Intent Discovery with Abstractive Summarization", Proc. 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023) at ACL 2023, 2023. [online] [pdf]
  • Karel D'Oosterlinck, Francois Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins, Christopher Potts.  "BioDEX: Large-scale biomedical adverse drug event extraction for real-world pharmacovigilance", Findings of the ACL: EMNLP 2023, 2023. [online] [pdf]
  • Francois Remy, Alfiya Khabibullina, Thomas Demeester.  "Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning", Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023), 2023. [online] [pdf]
  • Amir Hadifar, Semere Kiros Bitew, Johannes Deleu, Veronique Hoste, Chris Develder, Thomas Demeester.  "Diverse content selection for educational question generation", Proc. 17th Conf. Eur. Chapter Associat. Comput. Linguist.: Stud. Research Workshop (EACL SRW 2023, 2023. [online] [pdf]
  • Henri Arno, Klaas Mulier, Joke Baeck, Thomas Demeester.  "From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset", Proceedings of the Sixth Workshop on Financial Technology and Natural Language Processing, 2023. [online] [pdf]

2022

  • Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester.  "Learning to reuse distractors to support multiple choice question generation in education", IEEE Trans. Learn. Technol., 2022. [pdf] (a1)
  • Klim Zaporojets, Johannes Deleu, Yiwei Jiang, Thomas Demeester, Chris Develder.  "Towards consistent document-level entity linking: Joint Models for entity linking and coreference resolution", Proc. 60th Annual Meet. Assoc. Comput. Linguist. (ACL 2022), 2022. [online] [pdf]
  • Yiwei Jiang, Amir Hadifar, Johannes Deleu, Thomas Demeester, Chris Develder.  "UGent-T2K at the 2nd DialDoc shared task: A retrieval-focused dialog system grounded in multiple documents", Proc. DialDoc Workshop at ACL 2022, 2022. [pdf]
  • Sofie Labat, Naomi Ackaert, Thomas Demeester, Veronique Hoste.  "Variation in the expression and annotation of emotions: a Wizard of Oz pilot study", Proc. 1st Workshop Perspectivist Approaches to NLP @LREC2022 (NLPerspectives 2022), 2022. [online] [pdf]
  • Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, T. Demeester.  "Design of negative sampling strategies for distantly supervised skill extraction", Proc. 2nd Workshop Recomm. Sys. Hum. Resour. at RecSys 2022 (RecSys in HR 2022), 2022. [pdf]
  • Sofie Labat, Amir Hadifar, Thomas Demeester, Veronique Hoste.  "An emotional journey: Detecting emotion trajectories in Dutch customer service dialogues", Proc. 8th Workshop Noisy User-generated Text (W-NUT 2022) at COLING 2022, 2022. [online] [pdf]
  • Klim Zaporojets, Lucie-Aimee Kaffee, Thomas Demeester, Chris Develder, Isabelle Augenstein.  "TempEL: Linking dynamically evolving and newly emerging entities", Proc. 36th Conf. Neural Inf. Process. Sys. (NeurIPS 2022), 2022. [online] [pdf]
  • Paloma Rabaey, Cedric De Boom, Thomas Demeester.  "Neural Bayesian network understudy", Proc. Workshop Causal Mach. Learn. Real-World Impact (CML4Impact 2022) at NeurIPS 2022, 2022. [pdf]
  • Maarten De Raedt, Frederic Godin, Chris Develder, Thomas Demeester.  "Robustifying sentiment classification by maximally exploiting few counterfactuals", Proc. Conf. Empirical Methods in Natural Lang. Processing (EMNLP 2022), 2022. [online] [pdf]
  • Henri Arno, Klaas Mulier, Joke Baeck, Thomas Demeester.  "Next-Year Bankruptcy Prediction from Textual Data: Benchmark and Baselines", Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP), 2022. [online] [pdf]
  • Ruben Janssens, Pieter Wolfert, Thomas Demeester, Tony Belpaeme.  ""Cool glasses, where did you get them?": Generating Visually Grounded Conversation Starters for Human-Robot Dialogue", Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, {2022}. [pdf]
  • Francois Remy, Kris Demuynck, Thomas Demeester.  "BioLORD: Learning Ontological Representations from Definitions for Biomedical Concepts and their Textual Descriptions", Findings of the Association for Computational Linguistics: EMNLP 2022, 2022. [online] [pdf]

2021

  • Klim Zaporojets, Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder.  "Solving arithmetic word problems by scoring equations with recursive neural networks", Expert Syst. Appl., 2021. [pdf] (a1)
  • Amir Hadifar, Johannes Deleu, Chris Develder, Thomas Demeester.  "Exploration of block-wise dynamic sparseness", Pattern Recognit. Lett., 2021. [pdf] (a1)
  • Gilles Vandewiele, Isabelle Dehaene, Gyorgy Kovacs, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester.  "Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling", Artificial Intelligence in Medicine, 2021. [pdf] (a1)
  • Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt.  "Neural Probabilistic Logic Programming in DeepProbLog", Artificial Intelligence, 2021. [online] [pdf] (a1)
  • Klim Zaporojets, Johannes Deleu, Chris Develder, Thomas Demeester.  "DWIE: An entity-centric dataset for multi-task document-level information extraction", Information Processing & Management, 2021. [pdf] (a1)
  • Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder.  "JobBERT: Understanding job titles through skills", Proc. Int. Workshop Fair, Effective and Sustainable Talent at ECML-PKDD (FEAST 2021), 2021. [pdf]
  • Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder.  "Injecting knowledge base information into end-to-end joint entity and relation extraction and coreference resolution", Findings of the ACL: ACL-IJCNLP 2021, 2021. [online] [pdf]
  • Amir Hadifar, Sofie Labat, Veronique Hoste, Chris Develder, Thomas Demeester.  "A million tweets are worth a few points: Tuning transformers for customer support tasks", Proc. Ann. Conf. North American Chapter Assoc. Comp. Linguist. (NAACL 2021), 2021. [pdf]
  • Maarten De Raedt, Frederic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester.  "A simple geometric method for cross-lingual linguistic transformations with pre-trained autoencoders", Proc. Conf. Empirical Methods in Natural Lang. Processing (EMNLP 2021), 2021. [online] [pdf]
  • Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester.  "Lazy low-resource coreference resolution: A study on leveraging black-box translation tools", Proc. 4th Workshop Comput. Models of Reference, Anaphora and Coreference (CRAC 2021) at EMNLP 2021, 2021. [online] [pdf]

2020

  • Yiwei Jiang, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder.  "Recipe instruction semantics corpus (RISeC): Resolving semantic structure and zero anaphora in recipes", Proc. 1st Conf. Asia-Pacific Chapter of the Assoc. Comput. Linguist. and 10th Int. Joint Conf. Natural Lang. Processing (AACL-IJCNLP 2020), 2020. [pdf]
  • Lucas Sterckx, Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester.  "Clinical information extraction for preterm birth risk prediction", Journal of Biomedical Informatics, 2020. [pdf] (a1)
  • Thomas Demeester.  "System Identification with Time-Aware Neural Sequence Models", 34th AAAI Conference on Artificial Intelligence, 2020. [code] [pdf]

2019

  • Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester.  "Time-to-Birth Prediction Models and the Influence of Expert Opinions", Artificial Intelligence in Medicine, 2019. [online]
  • Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester.  "A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset", Artificial Intelligence in Medicine, 2019. [online]
  • Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder.  "Sub-event detection from Twitter streams as a sequence labeling problem", Proc. Ann. Conf. North American Chapter Assoc. Comp. Linguist. (NAACL-HLT 2019), 2019. [online] [pdf]
  • Amir Hadifar, Lucas Sterckx, Thomas Demeester, Chris Develder.  "A self-training approach for short text clustering", Proc. 4th Workshop Represent. Learn. for NLP (RepL4NLP) at ACL 2019, 2019. [online] [pdf]
  • Semere Kiros Bitew, Giannis Bekoulis, Johannes Deleu, Lucas Sterckx, Klim Zaporojets, Thomas Demeester, Chris Develder.  "Predicting suicide risk from online postings in Reddit: The UGent-IDLab submission to the CLPysch 2019 Shared Task A", Proc. 6th Ann. Workshop on Comput. Ling. Clin. Psychol. (CLPsych 2019) at NAACL-HLT 2019, 2019. [online] [pdf]
  • Luc De Raedt, R. Manhaeve, S. Dumancic, Thomas Demeester, A. Kimmig.  "Neuro-Symbolic = Neural + Logical + Probabilistic", Proceedings of the 14th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'19), 2019. [pdf]
  • Cedric De Boom, Thomas Demeester, Bart Dhoedt.  "Character-level recurrent neural networks in practice: comparing training and sampling schemes", Neural Computing and Applications, 2019. (a1)

2018

  • Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester (*), Luc De Raedt (*).  "DeepProbLog: Neural Probabilistic Logic Programming", Neural Information Processing Systems (NeuIPS 2018), 2018. (*) joint last authors [pdf]
  • Thomas Demeester, Johannes Deleu, Frederic Godin, Chris Develder.  "Predefined Sparseness in Recurrent Sequence Models", Proc. The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2018. [code] [pdf] [slides]
  • Frederic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester.  "Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?", Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 2018. [code] [pdf]
  • Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder.  "Adversarial training for multi-context joint entity and relation extraction", Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 2018. [code] [pdf]
  • Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder.  "Joint entity recognition and relation extraction as a multi-head selection problem", Expert Systems with Applications, 2018. [online] [code] [pdf] (a1)
  • Dirk Weissenborn, Pasquale Minervine, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktaschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel.  "Jack the Reader -- A Machine Reading Framework", Proc. 56th Annual Meeting of the Association for Computational Linguistics (Demos track), 2018. [code] [pdf]
  • Klim Zaporojets, Lucas Sterckx, Johannes Deleu, Thomas Demeester, Chris Develder.  "Predicting psychological health from childhood essays: The UGent-IDLab CLPsych 2018 shared task system", Proc. 5th Ann. Workshop on Comput. Linguistics and Clinical Psychology (CLPsych 2018) at NAACL-HLT 2018, 2018. [pdf]
  • Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester.  "Prior Attention for Style-aware Sequence-to-Sequence Models", arXiv preprint, 2018. [pdf]
  • Ioannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder.  "An attentive neural architecture for joint segmentation and parsing and its application to real estate ads", Expert Systems with Applications, 2018. [online] [pdf] (a1)
  • Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder.  "Creation and evaluation of large keyphrase extraction collections with multiple opinions", Language Resources and Evaluation, 2018. [online] [pdf] (a1)
  • Steven Van Canneyt, Philip Leroux, Bart Dhoedt, Thomas Demeester.  "Modeling and predicting the popularity of online news based on temporal and content-related features", Multimedia Tools and Applications, 2018. [online] [pdf] (a1)
  • Bart Deygers, Koen Van Gorp, Thomas Demeester.  "The B2 Level and the Dream of a Common Standard", Language Assessment Quarterly, 2018. [online] (a1)

2017

  • P. Minervini, Thomas Demeester, T. Rocktaschel, S. Riedel.  "Adversarial sets for regularising neural link predictors", Proc. Conference on Uncertainty in Artificial Intelligence (UAI 2017), 2017. [code] [pdf]
  • Cedric De Boom, Rohan Agrawal, Samantha Hansen, Esh Kumar, Romain Yon, Ching-Wei Chen, Thomas Demeester, Bart Dhoedt.  "Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales", Multimedia Tools and Applications, 2017. [online] [pdf] (a1)
  • Lucas Sterckx, J. Naradowsky, B. Byrne, Thomas Demeester, Chris Develder.  "Break it down for me : a study in automated lyric annotation", Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), 2017. [pdf]
  • Ioannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder.  "Reconstructing the house from the ad: Structured prediction on real estate classifieds", Proc. 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), 2017. [pdf]

2016

  • Nasrin Sadeghianpourhamami, Thomas Demeester, Dries Benoit, Matthias Strobbe, Chris Develder.  "Modeling and analysis of residential flexibility: timing of white good usage", Applied Energy, 2016. (a1)
  • Thomas Demeester, T. Rocktaschel, S. Riedel.  "Lifted rule injection for relation embeddings", Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), 2016. [pdf]
  • Thomas Demeester, T. Rocktaschel, S. Riedel.  "Regularizing relation representations by first-order implications", Proc. 5th Workshop on Automated Base Construction (AKBC 2016), 2016. [pdf]
  • Cedric De Boom, Steven Van Canneyt, Thomas Demeester, Bart Dhoedt.  "Representation learning for very short texts using weighted word embedding aggregation", Pattern Recognition Letters, 2016. [online] [pdf] (a1)
  • Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder.  "Knowledge base population using semantic label propagation", Knowledge-Based Systems, 2016. [online] [pdf] (a1)
  • Cedric De Boom, Sam Leroux, Steven Bohez, Pieter Simoens, Thomas Demeester, Bart Dhoedt.  "Efficiency Evaluation of Character-level RNN Training Schedules", Proc. Data Efficient Machine Learning workshop, 2016. [pdf]
  • Lucas Sterckx, Thomas Demeester, Chris Develder, C Caragea.  "Supervised keyphrase extraction as positive unlabeled learning", Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), 2016. [pdf]
  • Thomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen Dong Nguyen, Chris Develder.  "Predicting relevance based on assessor disagreement : analysis and practical applications for search evaluation", Information Retrieval, 2016. [online] [pdf] (a1)
  • Baptist Vandersmissen, Lucas Sterckx, Thomas Demeester, Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle.  "An automated end-to-end pipeline for fine-grained video annotation using deep neural networks", Proc. ACM International Conference on Multimedia Retrieval (ICMR 2016), 2016. [pdf]

2015

  • Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt.  "Learning semantic similarity for very short texts", Proc. IEEE International Conference on Data Mining Workshop (ICDMW), 2015.
  • Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder.  "Ghent University-IBCN participation in the TAC KBP 2015 cold start slot filling task", Proc. 8th Text Analysis Conference (TAC 2015), 2015.
  • Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder.  "When topic models disagree: keyphrase extraction with muliple topic models", Proc. 24th International Conference on World Wide Web (WWW 2015), 2015.
  • Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder.  "Topical word importance for fast keyphrase extraction", Proc. 24th International Conference on World Wide Web (WWW 2015), 2015.
  • Thomas Demeester, Dolf Trieschnigg, Ke Zhou, Dong Nguyen Dong Nguyen, Djoerd Hiemstra.  "FedWeb greatest hits: presenting the new test collection for federated web search", Proc. 24th International Conference on World Wide Web (WWW 2015), 2015.

2014

  • Ke Zhou, Thomas Demeester, Dong Nguyen, Djoerd Hiemstra, Dolf Trieschnigg.  "Aligning Vertical Collection Relevance with User Intent", Proc. 23rd ACM Conference on Information and Knowledge Management (CIKM 2014), 2014.
  • Thomas Demeester, R Aly, D Hiemstra, D Nguyen, D Trieschnigg, Chris Develder.  "Exploiting user disagreement for web search evaluation: an experimental approach", Proc. International Conference on Web Search and Data Mining (WSDM 2014), 2014.
  • R Aly, Thomas Demeester, S Robertson.  "Probabilistic models in IR and their relationships", Information Retrieval, 2014. (a1)
  • Thomas Demeester, Dolf Trieschnigg, Dong Nguyen, Ke Zhou, Djoerd Hiemstra.  "Overview of the TREC 2014 federated web search track", Proc. Text Retrieval Conference (TREC 2014), 2014.
  • Matthias Feys, Thomas Demeester, Blaz Fortuna, Johannes Deleu, Chris Develder.  "On the robustness of event detection evaluation: a case study", Proc. Forum for Information Retrieval Evaluation, 2014.
  • Laurent Mertens, Thomas Demeester, Johannes Deleu, Matthias Feys, Chris Develder.  "Entity linking: test collections revisited", Proc. Forum for Information Retrieval Evaluation, 2014.
  • Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder.  "Using active learning and semantic clustering for noise reduction in distant supervision", Proc. 4th Workshop on Automated Base Construction (AKBC 2014), 2014.
  • Matthias Feys, Lucas Sterckx, Laurent Mertens, Johannes Deleu, Thomas Demeester, Chris Develder.  "Ghent University-IBCN participation in TAC-KBP 2014 slot filling and cold start tasks", Proc. 7th Text Analysis Conference (TAC 2014), 2014.
  • Blaz Fortuna, Thomas Demeester, Chris Develder.  "Towards large-scale event detection and extraction from news", Proc. Workshop on Large-scale Online Learning and Decision Making, 2014.
  • Steven Van Canneyt, Matthias Feys, Steven Schockaert, Thomas Demeester, Chris Develder, Bart Dhoedt.  "Detecting newsworthy topics in Twitter", Proc. SNOW 2014 Data Challenge, 2014.
  • Lucas Sterckx, Thomas Demeester, Johannes Deleu, Laurent Mertens, Chris Develder.  "Assessing quality of unsupervised topics in song lyrics", Proc. 36th European Conference on Information Retrieval (ECIR 2014), 2014.

2013

  • Thomas Demeester, D Trieschnigg, D Nguyen, D Hiemstra.  "Overview of the TREC 2013 federated web search track", Proc. Text Retrieval Conference (TREC 2013), 2013.
  • R Aly, D Hiemstra, D Trieschnigg, Thomas Demeester.  "Mirex and taily at TREC 2013", Proc. Text Retrieval Conference (TREC 2013), 2013.
  • R Aly, D Hiemstra, Thomas Demeester.  "Taily: Shard selection using the tail of score distributions", Proc. Special Interest Group on Information Retrieval (SIGIR 2013), 2013.
  • Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra.  "Snippet-based relevance predictions for federated web search", Proc. European Conference on Information Retrieval (ECIR 2013), 2013.
  • Laurent Mertens, Thomas Demeester, Johannes Deleu, Chris Develder.  "UGent participation in the TAC 2013 entity-linking task", Proc. Text Analysis Conference (TAC 2013), 2013.

2012

  • Laurent Mertens, Thomas Demeester, Johannes Deleu, Piet Demeester, Chris Develder.  "UGent participation in the TAC 2012 entity-linking task", Text Analysis Conference, Proceedings, 2012.
  • Thong Hoang Van Duc, Thomas Demeester, Johannes Deleu, Piet Demeester, Chris Develder.  "UGent participation in the Microblog Track 2012", Proc. Text Retrieval Conference (TREC 2012), 2012.
  • Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra.  "What snippets say about pages in federated web search", Proc. 8th Asian Information Retrieval Societies Conference (AIRS 2012), LNCS 7675, 2012.
  • Dong Nguyen, Thomas Demeester, Dolf Trieschnigg, Djoerd Hiemstra.  "Federated search in the wild: the combined power of over a hundred search engines", Proc. 21st ACM Conference on Information and Knowledge Management (CIKM 2012), 2012.
  • Bruno Van Den Bossche, Brecht Vermeulen, Johannes Deleu, Thomas Demeester, Piet Demeester.  "MediaHaven: multimedia asset management with integrated NER and categorization", Proc. 12th Dutch-Belgian Information Retrieval Workshop (DIR 2012), 2012.
  • Johannes Deleu, An De Moor, Thomas Demeester, Brecht Vermeulen, Piet Demeester.  "Named entity recognition on flemish audio-visual and news-paper archives", Proc. 12th Dutch-Belgian Information Retrieval Workshop (DIR 2012), 2012.
  • Stijn Vandamme, Tim Wauters, Thomas Demeester, Filip De Turck.  "Implementation and evaluation of query filtering in a role ontology-enhanced search engine", Proc. 12th Dutch-Belgian Information Retrieval Workshop (DIR 2012), 2012.
  • Thong Hoang Van Duc, Thomas Demeester, Chris Develder, Hyoseop Shin.  "Effectiveness of learning to rank for finding user similarity in social media", Proc. 12th Dutch-Belgian Information Retrieval Workshop (DIR 2012), 2012.
  • Laurent Mertens, Thomas Demeester, Johannes Deleu, Chris Develder, Piet Demeester.  "Context-based person identification for news collections", Proc. 12th Dutch-Belgian Information Retrieval Workshop (DIR 2012), 2012.

2011

  • Dries Vande Ginste, Dirk Deschrijver, Thomas Demeester, Tom Dhaene, Daniel De Zutter.  "Broadband passive RLGC(f) modeling for on-chip interconnect design", Proc. 2011 International Conference on Electromagnetics in Advanced Applications and IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (ICEAA 2011), 2011.
  • Thomas Demeester, Daniel De Zutter.  "Eigenmode-based capacitance calculations with applications in passivation layer design", IEEE Transactions on Components Packaging and Manufacturing Technology, 2011. (a1)
  • Thomas Demeester, Maarten Cauwe, Daniel De Zutter.  "Frequency-dependent substrate characterization via an iterative pole search algorithm", IEEE Microwave and Wireless Components Letters, 2011. (a1)
  • Robin Aly, Thomas Demeester.  "Towards a better understanding of the relationship between probabilistic models in IR", Proc. 3rd Conference on Theory of Information Retrieval (ICTIR 2011), Lecture Notes in Computer Science, 2011.

2010

  • Thomas Demeester, Dries Vande Ginste, Daniel De Zutter.  "Accurate study of the electromagnetic and circuit behavior of finite conducting wedges and interconnects with arbitrary cross-sections", proc. IEEE 19th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS 2010), 2010.
  • Thomas Demeester, Daniel De Zutter.  "Fields at a finite conducting wedge and applications in interconnect modeling", IEEE Transactions on Microwave Theory and Techniques, 2010. (a1)
  • Thomas Demeester, Daniel De Zutter.  "Construction of the dirichlet to neumann boundary operator for triangles and applications in the analysis of polygonal conductors", IEEE Transactions on Microwave Theory and Techniques, 2010. (a1)

2009

  • Thomas Demeester.  "Transmission Line Modeling of Lossy Interconnects with theDirichlet to Neumann Boundary Operator.", Ph.D. Dissertation, Ghent University, 2009. [pdf]
  • Thomas Demeester, Daniel De Zutter.  "Construction and applications of the Dirichlet-to-Neumann operator in transmission line modeling", Turkish Journal of Electrical Engineering and Computer Sciences, 2009. (a1)
  • Thomas Demeester, Daniel De Zutter.  "Modeling the broadband resistive and inductive behavior of polygonal conductors", Proc. International Conference on Electromagnetics in Advanced Applications (ICEAA 2009), 2009.
  • Thomas Demeester, Daniel De Zutter.  "Conductor modeling with the surface admittance operator of triangles", Proc. IEEE Workshop on Signal Propagation on Interconnects (SPI 2009), 2009.
  • Thomas Demeester, Daniel De Zutter.  "Internal impedance of composite conductors with arbitrary cross section", IEEE Transactions on Electromagnetic Compatibility, 2009. (a1)
  • Thomas Demeester, Daniel De Zutter.  "Applications of the Dirichlet-to-Neumann boundary operator in transmission line modeling", Proc. 20TH International Zurich Symposium on Electromagnetic Compatibility, 2009.

2008

  • Daniel De Zutter, Thomas Demeester.  "Transmission line modeling of coupled lines in a semiconducting substrate", Proc. VI Iberian Meeting on Computational Electromagnetism, 2008.
  • Thomas Demeester, Daniel De Zutter.  "Quasi-TM transmission line parameters of coupled lossy lines based on the Dirichlet to Neumann boundary operator", IEEE Transactions on Microwave Theory and Techniques, 2008. [pdf] (a1)
  • Thomas Demeester, Daniel De Zutter.  "Design and simulation of on-chip lossy transmission line pairs", Proc. IEEE Workshop on Signal Propagation on Interconnects (SPI 2008), 2008.
  • Thomas Demeester, Daniel De Zutter.  "Modeling the broadband inductive and resistive behavior of composite conductors", IEEE Microwave and Wireless Components Letters, 2008. (a1)

2007

  • Thomas Demeester, Daniel De Zutter.  "Determination of the broadband transmission line parameters of lossy lines using the Dirichlet to Neumann operator", Proc. Electrical Performance of Electronic Packaging (EPEP 2007), 2007.
  • Thomas Demeester, Daniel De Zutter.  "Modeling of the resistive and inductive behaviour of layered and coated conductors", Proc. Electrical Performance of Electronic Packaging (EPEP 2007), 2007.