Thomas Demeester

191 papers A* 13A 7B 4C 1Misc 1Journal 114Unranked 50
YearRankTypeTitle / Venue / Authors
2026 J jnl
CLASP: Defending Hybrid Large Language Models Against Hidden State Poisoning Attacks.
CoRR
Alexandre Le Mercier, Thomas Demeester, Chris Develder
2026 J jnl
Dynamic Expert-Guided Model Averaging for Causal Discovery.
CoRR
Adrick Tench, Thomas Demeester
2026 J jnl
Hidden State Poisoning Attacks against Mamba-based Language Models.
CoRR
Alexandre Le Mercier, Chris Develder, Thomas Demeester
2026 J jnl
Rank-Learner: Orthogonal Ranking of Treatment Effects.
CoRR
Henri Arno, Dennis Frauen, Emil Javurek, Thomas Demeester, Stefan Feuerriegel
2026 J jnl
The Entropic Signature of Class Speciation in Diffusion Models.
CoRR
Florian Handke, Dejan Stancevic, Felix Koulischer, Thomas Demeester, Luca Ambrogioni
2025 J jnl
A Customer Journey in the Land of Oz: Leveraging the Wizard of Oz Technique to Model Emotions in Customer Service Interactions.
CoRR
Sofie Labat, Thomas Demeester, Véronique Hoste
2025 J jnl
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment.
Trans. Assoc. Comput. Linguistics
Karel D'Oosterlinck, Winnie Xu, Chris Develder, Thomas Demeester, Amanpreet Singh, Christopher Potts, Douwe Kiela, Shikib Mehri
2025 J jnl
Business Failure Prediction From Textual and Tabular Data With Sentence-Level Interpretations.
Ann. Oper. Res.
Henri Arno, Klaas Mulier, Joke Baeck, Thomas Demeester
2025 A* conf
Dynamic Negative Guidance of Diffusion Models.
ICLR
Felix Koulischer, Johannes Deleu, Gabriel Raya, Thomas Demeester, Luca Ambrogioni
2025 J jnl
Efficient Text Encoders for Labor Market Analysis.
IEEE Access
Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester
2025 J jnl
Efficient Text Encoders for Labor Market Analysis.
CoRR
Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester
2025 J jnl
Error Optimization: Overcoming Exponential Signal Decay in Deep Predictive Coding Networks.
CoRR
Cédric Goemaere, Gaspard Oliviers, Rafal Bogacz, Thomas Demeester
2025 J jnl
Feedback Guidance of Diffusion Models.
CoRR
Felix Koulischer, Florian Handke, Johannes Deleu, Thomas Demeester, Luca Ambrogioni
2025 — conf
Improved Allergy Wheal Detection for the Skin Prick Automated Test Device.
AIME (2)
Rembert Daems, Sven Seys, Valérie Hox, Adam Chaker, Glynnis De Greve, Winde Lemmens, Anne-Lise Poirrier, Eline Beckers, Zuzana Diamant, Carmen Dierickx, Peter W. Hellings, Caroline Huart, Claudia Jerin, Mark Jorissen, Hanne Oscé, Karolien Roux, Mark Thompson, Sophie Tombu, Saartje Uyttebroek, Andrzej Zarowski, Senne Gorris, Laura Van Gerven, Dirk Loeckx, Thomas Demeester
2025 J jnl
Improved Allergy Wheal Detection for the Skin Prick Automated Test Device.
CoRR
Rembert Daems, Sven Seys, Valérie Hox, Adam Chaker, Glynnis De Greve, Winde Lemmens, Anne-Lise Poirrier, Eline Beckers, Zuzana Diamant, Carmen Dierickx, Peter W. Hellings, Caroline Huart, Claudia Jerin, Mark Jorissen, Hanne Oscé, Karolien Roux, Mark Thompson, Sophie Tombu, Saartje Uyttebroek, Andrzej Zarowski, Senne Gorris, Laura Van Gerven, Dirk Loeckx, Thomas Demeester
2025 J jnl
Integrating Visual Context Into Language Models for Situated Social Conversation Starters.
IEEE Trans. Affect. Comput.
Ruben Janssens, Pieter Wolfert, Thomas Demeester, Tony Belpaeme
2025 C conf
Leveraging Artificial Intelligence as a Decision Support System in Belgian Commercial Courts.
ICAIL
Stijn Van Ruymbeke, Aruna Audenaert, Henri Arno, Tibe Habils, Joke Baeck, Klaas Mulier, Thomas Demeester
2025 J jnl
Modeling Clinical Uncertainty in Radiology Reports: from Explicit Uncertainty Markers to Implicit Reasoning Pathways.
CoRR
Paloma Rabaey, Jong Hak Moon, Jung-Oh Lee, Min Gwan Kim, Hangyul Yoon, Thomas Demeester, Edward Choi
2025 J jnl
Patient-level Information Extraction by Consistent Integration of Textual and Tabular Evidence with Bayesian Networks.
CoRR
Paloma Rabaey, Adrick Tench, Stefan Heytens, Thomas Demeester
2025 J jnl
Personalized Treatment Effect Estimation from Unstructured Data.
CoRR
Henri Arno, Thomas Demeester
2025 J jnl
Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images.
CoRR
Max Hallemeesch, Marija Pizurica, Paloma Rabaey, Olivier Gevaert, Thomas Demeester, Kathleen Marchal
2025 J jnl
SimSUM - simulated benchmark with structured and unstructured medical records.
J. Biomed. Semant.
Paloma Rabaey, Stefan Heytens, Thomas Demeester
2025 J jnl
Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources.
CoRR
Joachim De Baer, A. Seza Dogruöz, Thomas Demeester, Chris Develder
2025 J jnl
UniC: a dataset for emotion analysis of videos with multimodal and unimodal labels.
Lang. Resour. Evaluation
Quanqi Du, Sofie Labat, Thomas Demeester, Véronique Hoste
2024 — conf
Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler.
ML-DE
Cédric Goemaere, Johannes Deleu, Thomas Demeester
2024 — conf
Adaptive Second Language Tutoring Using Generative AI and a Social Robot.
HRI (Companion)
Eva Verhelst, Ruben Janssens, Thomas Demeester, Tony Belpaeme
2024 J jnl
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment.
CoRR
Karel D'Oosterlinck, Winnie Xu, Chris Develder, Thomas Demeester, Amanpreet Singh, Christopher Potts, Douwe Kiela, Shikib Mehri
2024 J jnl
BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights.
J. Am. Medical Informatics Assoc.
François Remy, Kris Demuynck, Thomas Demeester
2024 J jnl
ChocoLlama: Lessons Learned From Teaching Llamas Dutch.
CoRR
Matthieu Meeus, Anthony Rathé, François Remy, Pieter Delobelle, Jens-Joris Decorte, Thomas Demeester
2024 — conf
Clinical Reasoning over Tabular Data and Text with Bayesian Networks.
AIME (1)
Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester
2024 J jnl
Clinical Reasoning over Tabular Data and Text with Bayesian Networks.
CoRR
Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester
2024 A* conf
Debiasing Synthetic Data Generated by Deep Generative Models.
NeurIPS
Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Johan Decruyenaere, Christiaan Polet, Thomas Demeester, Stijn Vansteelandt
2024 J jnl
Debiasing Synthetic Data Generated by Deep Generative Models.
CoRR
Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Thomas Demeester, Stijn Vansteelandt
2024 J jnl
Dynamic Negative Guidance of Diffusion Models.
CoRR
Felix Koulischer, Johannes Deleu, Gabriel Raya, Thomas Demeester, Luca Ambrogioni
2024 J jnl
EmoTwiCS: a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter.
Lang. Resour. Evaluation
Sofie Labat, Thomas Demeester, Véronique Hoste
2024 J jnl
Few-shot out-of-scope intent classification: analyzing the robustness of prompt-based learning.
Appl. Intell.
Yiwei Jiang, Maarten De Raedt, Johannes Deleu, Thomas Demeester, Chris Develder
2024 J jnl
From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset.
CoRR
Henri Arno, Klaas Mulier, Joke Baeck, Thomas Demeester
2024 J jnl
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding.
CoRR
Henri Arno, Paloma Rabaey, Thomas Demeester
2024 J jnl
In-Context Learning for Extreme Multi-Label Classification.
CoRR
Karel D'Oosterlinck, Omar Khattab, François Remy, Thomas Demeester, Chris Develder, Christopher Potts
2024 J jnl
Learning to Reuse Distractors to Support Multiple-Choice Question Generation in Education.
IEEE Trans. Learn. Technol.
Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester
2024 — conf
On the Biased Assessment of Expert Finding Systems.
HR@RecSys
Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester
2024 J jnl
On the Biased Assessment of Expert Finding Systems.
CoRR
Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester
2024 J jnl
Revisiting clustering for efficient unsupervised dialogue structure induction.
Appl. Intell.
Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester
2024 J jnl
SkillMatch: Evaluating Self-supervised Learning of Skill Relatedness.
CoRR
Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder
2024 J jnl
SynSUM - Synthetic Benchmark with Structured and Unstructured Medical Records.
CoRR
Paloma Rabaey, Henri Arno, Stefan Heytens, Thomas Demeester
2024 A conf
The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data.
UAI
Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester
2024 J jnl
Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP.
CoRR
François Remy, Pieter Delobelle, Hayastan Avetisyan, Alfiya Khabibullina, Miryam de Lhoneux, Thomas Demeester
2023 J jnl
Accelerating Hierarchical Associative Memory: A Deep Equilibrium Approach.
CoRR
Cédric Goemaere, Johannes Deleu, Thomas Demeester
2023 — conf
Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge.
BioNLP@ACL
François Remy, Kris Demuynck, Thomas Demeester
2023 J jnl
Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge.
CoRR
François Remy, Thomas Demeester
2023 — conf
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance.
EMNLP (Findings)
Karel D'Oosterlinck, François Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins, Christopher Potts
2023 J jnl
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance.
CoRR
Karel D'Oosterlinck, François Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins, Christopher Potts
2023 J jnl
BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical Knowledge Graph Insights.
CoRR
François Remy, Kris Demuynck, Thomas Demeester
2023 J jnl
CAW-coref: Conjunction-Aware Word-level Coreference Resolution.
CoRR
Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, Christopher Potts, Thomas Demeester, Chris Develder
2023 — conf
Career Path Prediction using Resume Representation Learning and Skill-based Matching.
HR@RecSys
Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester
2023 J jnl
Career Path Prediction using Resume Representation Learning and Skill-based Matching.
CoRR
Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester
2023 J jnl
CookDial: a dataset for task-oriented dialogs grounded in procedural documents.
Appl. Intell.
Yiwei Jiang, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder
2023 — conf
Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning.
MWE@EACL
François Remy, Alfiya Khabibullina, Thomas Demeester
2023 J jnl
Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning.
CoRR
François Remy, Alfiya Khabibullina, Thomas Demeester
2023 — conf
Distractor Generation for Multiple-Choice Questions with Predictive Prompting and Large Language Models.
PKDD/ECML Workshops (2)
Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester
2023 J jnl
Distractor generation for multiple-choice questions with predictive prompting and large language models.
CoRR
Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester
2023 — conf
Diverse Content Selection for Educational Question Generation.
EACL (Student Research Workshop)
Amir Hadifar, Semere Kiros Bitew, Johannes Deleu, Véronique Hoste, Chris Develder, Thomas Demeester
2023 J jnl
EduQG: A Multi-Format Multiple-Choice Dataset for the Educational Domain.
IEEE Access
Amir Hadifar, Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester
2023 J jnl
EmoTwiCS: A Corpus for Modelling Emotion Trajectories in Dutch Customer Service Dialogues on Twitter.
CoRR
Sofie Labat, Thomas Demeester, Véronique Hoste
2023 J jnl
Exploring the Temperature-Dependent Phase Transition in Modern Hopfield Networks.
CoRR
Felix Koulischer, Cédric Goemaere, Tom Van Der Meersch, Johannes Deleu, Thomas Demeester
2023 J jnl
Extreme Multi-Label Skill Extraction Training using Large Language Models.
CoRR
Jens-Joris Decorte, Severine Verlinden, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester
2023 J jnl
Flexible Model Interpretability through Natural Language Model Editing.
CoRR
Karel D'Oosterlinck, Thomas Demeester, Chris Develder, Christopher Potts
2023 J jnl
IDAS: Intent Discovery with Abstractive Summarization.
CoRR
Maarten De Raedt, Fréderic Godin, Thomas Demeester, Chris Develder
2023 — conf
Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning.
BEA@ACL
Semere Kiros Bitew, Johannes Deleu, A. Seza Dogruöz, Chris Develder, Thomas Demeester
2023 J jnl
Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning.
CoRR
Semere Kiros Bitew, Johannes Deleu, A. Seza Dogruöz, Chris Develder, Thomas Demeester
2023 J jnl
Synthetic Data: Can We Trust Statistical Estimators?
CoRR
Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester
2023 J jnl
TempEL: Linking Dynamically Evolving and Newly Emerging Entities.
CoRR
Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein
2023 J jnl
Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation.
CoRR
François Remy, Pieter Delobelle, Bettina Berendt, Kris Demuynck, Thomas Demeester
2023 J jnl
Training a Hopfield Variational Autoencoder with Equilibrium Propagation.
CoRR
Tom Van Der Meersch, Johannes Deleu, Thomas Demeester
2023 — conf
Unimodalities Count as Perspectives in Multimodal Emotion Annotation.
NLPerspectives@ECAI
Quanqi Du, Sofie Labat, Thomas Demeester, Véronique Hoste
2023 J jnl
Zero-Shot Cross-Lingual Sentiment Classification under Distribution Shift: an Exploratory Study.
CoRR
Maarten De Raedt, Semere Kiros Bitew, Fréderic Godin, Thomas Demeester, Chris Develder
2022 A* conf
"Cool glasses, where did you get them?": Generating Visually Grounded Conversation Starters for Human-Robot Dialogue.
HRI
Ruben Janssens, Pieter Wolfert, Thomas Demeester, Tony Belpaeme
2022 — conf
An Emotional Journey: Detecting Emotion Trajectories in Dutch Customer Service Dialogues.
W-NUT@COLING
Sofie Labat, Amir Hadifar, Thomas Demeester, Véronique Hoste
2022 J jnl
BioLORD: Learning Ontological Representations from Definitions (for Biomedical Concepts and their Textual Descriptions).
CoRR
François Remy, Kris Demuynck, Thomas Demeester
2022 — conf
BioLORD: Learning Ontological Representations from Definitions for Biomedical Concepts and their Textual Descriptions.
EMNLP (Findings)
François Remy, Kris Demuynck, Thomas Demeester
2022 J jnl
CookDial: A dataset for task-oriented dialogs grounded in procedural documents.
CoRR
Yiwei Jiang, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder
2022 — conf
DLIME-Graphs: A DLIME Extension Based on Triple Embedding for Graphs.
KGSWC
Yoan Antonio López Rodríguez, Hector Raúl González Diez, Orlando Grabiel Toledano-López, Yusniel Hidalgo-Delgado, Erik Mannens, Thomas Demeester
2022 — conf
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction.
HR@RecSys
Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester
2022 J jnl
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction.
CoRR
Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester
2022 J jnl
EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain.
CoRR
Amir Hadifar, Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester
2022 — conf
Fine-tuning mT5-based Transformer via CMA-ES for Sentiment Analysis.
IberLEF@SEPLN
Orlando Grabiel Toledano-López, Julio Madera, Héctor R. Gonzalez, Alfredo Simón-Cuevas, Thomas Demeester, Erik Mannens
2022 J jnl
Learning to Reuse Distractors to support Multiple Choice Question Generation in Education.
CoRR
Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester
2022 J jnl
Neural Bayesian Network Understudy.
CoRR
Paloma Rabaey, Cedric De Boom, Thomas Demeester
2022 J jnl
Next-Year Bankruptcy Prediction from Textual Data: Benchmark and Baselines.
CoRR
Henri Arno, Klaas Mulier, Joke Baeck, Thomas Demeester
2022 A* conf
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals.
EMNLP
Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester
2022 J jnl
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals.
CoRR
Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester
2022 A* conf
TempEL: Linking Dynamically Evolving and Newly Emerging Entities.
NeurIPS
Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein
2022 — conf
Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution.
ACL (2)
Klim Zaporojets, Johannes Deleu, Yiwei Jiang, Thomas Demeester, Chris Develder
2022 — conf
UGent-T2K at the 2nd DialDoc Shared Task: A Retrieval-Focused Dialog System Grounded in Multiple Documents.
DialDoc@ACL
Yiwei Jiang, Amir Hadifar, Johannes Deleu, Thomas Demeester, Chris Develder
2022 — conf
Variation in the Expression and Annotation of Emotions: A Wizard of Oz Pilot Study.
NLPerspectives@LREC
Sofie Labat, Naomi Ackaert, Thomas Demeester, Véronique Hoste
2021 — conf
A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks.
NAACL-HLT
Amir Hadifar, Sofie Labat, Véronique Hoste, Chris Develder, Thomas Demeester
2021 J jnl
A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks.
CoRR
Amir Hadifar, Sofie Labat, Véronique Hoste, Chris Develder, Thomas Demeester
2021 — conf
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders.
EMNLP (1)
Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester
2021 J jnl
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders.
CoRR
Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester
2021 J jnl
DWIE: An entity-centric dataset for multi-task document-level information extraction.
Inf. Process. Manag.
Klim Zaporojets, Johannes Deleu, Chris Develder, Thomas Demeester
2021 J jnl
Exploration of block-wise dynamic sparseness.
Pattern Recognit. Lett.
Amir Hadifar, Johannes Deleu, Chris Develder, Thomas Demeester
2021 — conf
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution.
ACL/IJCNLP (Findings)
Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder
2021 J jnl
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution.
CoRR
Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder
2021 J jnl
JobBERT: Understanding Job Titles through Skills.
CoRR
Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder
2021 J jnl
Neural probabilistic logic programming in DeepProbLog.
Artif. Intell.
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2021 — ch.
Neuro-Symbolic AI = Neural + Logical + Probabilistic AI.
Neuro-Symbolic Artificial Intelligence
Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt
2021 J jnl
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling.
Artif. Intell. Medicine
Gilles Vandewiele, Isabelle Dehaene, György Kovács, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester
2021 J jnl
Solving arithmetic word problems by scoring equations with recursive neural networks.
Expert Syst. Appl.
Klim Zaporojets, Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2021 J jnl
Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution.
CoRR
Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder
2020 J jnl
Block-wise Dynamic Sparseness.
CoRR
Amir Hadifar, Johannes Deleu, Chris Develder, Thomas Demeester
2020 J jnl
Clinical information extraction for preterm birth risk prediction.
J. Biomed. Informatics
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
2020 J jnl
DWIE: an entity-centric dataset for multi-task document-level information extraction.
CoRR
Klim Zaporojets, Johannes Deleu, Chris Develder, Thomas Demeester
2020 J jnl
Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling.
CoRR
Gilles Vandewiele, Isabelle Dehaene, György Kovács, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester
2020 — conf
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes.
AACL/IJCNLP
Yiwei Jiang, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder
2020 J jnl
Solving Math Word Problems by Scoring Equations with Recursive Neural Networks.
CoRR
Klim Zaporojets, Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2020 A* conf
System Identification with Time-Aware Neural Sequence Models.
AAAI
Thomas Demeester
2019 B conf
A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset.
AIME
Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester
2019 — conf
A Self-Training Approach for Short Text Clustering.
RepL4NLP@ACL
Amir Hadifar, Lucas Sterckx, Thomas Demeester, Chris Develder
2019 — conf
Adversarial Perturbations for Joint Entity and Relation Extraction.
BNAIC/BENELEARN
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2019 J jnl
Character-level recurrent neural networks in practice: comparing training and sampling schemes.
Neural Comput. Appl.
Cedric De Boom, Thomas Demeester, Bart Dhoedt
2019 — conf
DeepProbLog: Neural Probabilistic Logic Programming.
BNAIC/BENELEARN
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2019 J jnl
DeepProbLog: Neural Probabilistic Logic Programming.
CoRR
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2019 — conf
Neuro-Symbolic = Neural + Logical + Probabilistic.
NeSy@IJCAI
Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig
2019 J jnl
Sub-event detection from Twitter streams as a sequence labeling problem.
CoRR
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2019 — conf
Sub-event detection from twitter streams as a sequence labeling problem.
NAACL-HLT (1)
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2019 J jnl
System Identification with Time-Aware Neural Sequence Models.
CoRR
Thomas Demeester
2019 B conf
Time-to-Birth Prediction Models and the Influence of Expert Opinions.
AIME
Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester
2018 A* conf
Adversarial training for multi-context joint entity and relation extraction.
EMNLP
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2018 J jnl
Adversarial training for multi-context joint entity and relation extraction.
CoRR
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2018 J jnl
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads.
Expert Syst. Appl.
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2018 J jnl
Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes.
CoRR
Cedric De Boom, Thomas Demeester, Bart Dhoedt
2018 J jnl
Creation and evaluation of large keyphrase extraction collections with multiple opinions.
Lang. Resour. Evaluation
Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder
2018 A* conf
DeepProbLog: Neural Probabilistic Logic Programming.
NeurIPS
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2018 J jnl
DeepProbLog: Neural Probabilistic Logic Programming.
CoRR
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2018 A* conf
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
EMNLP
Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester
2018 J jnl
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
CoRR
Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester
2018 — conf
Jack the Reader - A Machine Reading Framework.
ACL (4)
Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel
2018 J jnl
Jack the Reader - A Machine Reading Framework.
CoRR
Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel
2018 J jnl
Joint entity recognition and relation extraction as a multi-head selection problem.
CoRR
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2018 J jnl
Joint entity recognition and relation extraction as a multi-head selection problem.
Expert Syst. Appl.
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2018 J jnl
Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales.
Multim. Tools Appl.
Cedric De Boom, Rohan Agrawal, Samantha Hansen, Esh Kumar, Romain Yon, Ching-Wei Chen, Thomas Demeester, Bart Dhoedt
2018 J jnl
Modeling and predicting the popularity of online news based on temporal and content-related features.
Multim. Tools Appl.
Steven Van Canneyt, Philip Leroux, Bart Dhoedt, Thomas Demeester
2018 B conf
Predefined Sparseness in Recurrent Sequence Models.
CoNLL
Thomas Demeester, Johannes Deleu, Fréderic Godin, Chris Develder
2018 J jnl
Predefined Sparseness in Recurrent Sequence Models.
CoRR
Thomas Demeester, Johannes Deleu, Fréderic Godin, Chris Develder
2018 — conf
Predicting Psychological Health from Childhood Essays. The UGent-IDLab CLPsych 2018 Shared Task System.
CLPsych@NAACL-HTL
Klim Zaporojets, Lucas Sterckx, Johannes Deleu, Thomas Demeester, Chris Develder
2018 J jnl
Prior Attention for Style-aware Sequence-to-Sequence Models.
CoRR
Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester
2017 A conf
Adversarial Sets for Regularising Neural Link Predictors.
UAI
Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2017 J jnl
Adversarial Sets for Regularising Neural Link Predictors.
CoRR
Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2017 J jnl
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads.
CoRR
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2017 A* conf
Break it Down for Me: A Study in Automated Lyric Annotation.
EMNLP
Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder
2017 J jnl
Break it Down for Me: A Study in Automated Lyric Annotation.
CoRR
Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder
2017 J jnl
Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales.
CoRR
Cedric De Boom, Rohan Agrawal, Samantha Hansen, Esh Kumar, Romain Yon, Ching-Wei Chen, Thomas Demeester, Bart Dhoedt
2017 — conf
Reconstructing the house from the ad: Structured prediction on real estate classifieds.
EACL (2)
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
2016 B conf
An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks.
ICMR
Baptist Vandersmissen, Lucas Sterckx, Thomas Demeester, Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle
2016 J jnl
Efficiency Evaluation of Character-level RNN Training Schedules.
CoRR
Cedric De Boom, Sam Leroux, Steven Bohez, Pieter Simoens, Thomas Demeester, Bart Dhoedt
2016 J jnl
Knowledge base population using semantic label propagation.
Knowl. Based Syst.
Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder
2016 A* conf
Lifted Rule Injection for Relation Embeddings.
EMNLP
Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2016 J jnl
Lifted Rule Injection for Relation Embeddings.
CoRR
Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2016 J jnl
Predicting relevance based on assessor disagreement: analysis and practical applications for search evaluation.
Inf. Retr. J.
Thomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen, Chris Develder
2016 — conf
Regularizing Relation Representations by First-order Implications.
AKBC@NAACL-HLT
Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2016 J jnl
Representation learning for very short texts using weighted word embedding aggregation.
CoRR
Cedric De Boom, Steven Van Canneyt, Thomas Demeester, Bart Dhoedt
2016 J jnl
Representation learning for very short texts using weighted word embedding aggregation.
Pattern Recognit. Lett.
Cedric De Boom, Steven Van Canneyt, Thomas Demeester, Bart Dhoedt
2016 J jnl
Resource Selection for Federated Search on the Web.
CoRR
Dong Nguyen, Thomas Demeester, Dolf Trieschnigg, Djoerd Hiemstra
2016 A* conf
Supervised Keyphrase Extraction as Positive Unlabeled Learning.
EMNLP
Lucas Sterckx, Cornelia Caragea, Thomas Demeester, Chris Develder
2015 — conf
FedWeb Greatest Hits: Presenting the New Test Collection for Federated Web Search.
WWW (Companion Volume)
Thomas Demeester, Dolf Trieschnigg, Dong Nguyen, Djoerd Hiemstra, Ke Zhou
2015 — conf
Ghent University - IBCN Participation in the TAC KBP 2015 Cold Start Slot Filling task.
TAC
Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder
2015 J jnl
Knowledge Base Population using Semantic Label Propagation.
CoRR
Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder
2015 — conf
Learning Semantic Similarity for Very Short Texts.
ICDM Workshops
Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt
2015 J jnl
Learning Semantic Similarity for Very Short Texts.
CoRR
Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt
2015 J jnl
Predicting Relevance based on Assessor Disagreement: Analysis and Practical Applications for Search Evaluation.
CoRR
Thomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen, Chris Develder
2015 — conf
Topical Word Importance for Fast Keyphrase Extraction.
WWW (Companion Volume)
Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder
2015 — conf
When Topic Models Disagree: Keyphrase Extraction with Multiple Topic Models.
WWW (Companion Volume)
Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder
2014 A conf
Aligning Vertical Collection Relevance with User Intent.
CIKM
Ke Zhou, Thomas Demeester, Dong Nguyen, Djoerd Hiemstra, Dolf Trieschnigg
2014 A conf
Assessing Quality of Unsupervised Topics in Song Lyrics.
ECIR
Lucas Sterckx, Thomas Demeester, Johannes Deleu, Laurent Mertens, Chris Develder
2014 — conf
Detecting Newsworthy Topics in Twitter.
SNOW-DC@WWW
Steven Van Canneyt, Matthias Feys, Steven Schockaert, Thomas Demeester, Chris Develder, Bart Dhoedt
2014 — conf
Entity Linking: Test Collections Revisited.
FIRE
Laurent Mertens, Thomas Demeester, Johannes Deleu, Matthias Feys, Chris Develder
2014 A conf
Exploiting user disagreement for web search evaluation: an experimental approach.
WSDM
Thomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen, Dolf Trieschnigg, Chris Develder
2014 — conf
On the robustness of event detection evaluation: a case study.
FIRE
Matthias Feys, Thomas Demeester, Blaz Fortuna, Johannes Deleu, Chris Develder
2014 — conf
Overview of the TREC 2014 Federated Web Search Track.
TREC
Thomas Demeester, Dolf Trieschnigg, Dong Nguyen, Djoerd Hiemstra, Ke Zhou
2014 J jnl
Probabilistic models in IR and their relationships.
Inf. Retr.
Robin Aly, Thomas Demeester, Stephen Robertson
2013 — conf
Mirex and Taily at TREC 2013.
TREC
Robin Aly, Djoerd Hiemstra, Dolf Trieschnigg, Thomas Demeester
2013 — conf
Overview of the TREC 2013 Federated Web Search Track.
TREC
Thomas Demeester, Dolf Trieschnigg, Dong Nguyen, Djoerd Hiemstra
2013 A conf
Snippet-Based Relevance Predictions for Federated Web Search.
ECIR
Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra
2013 A* conf
Taily: shard selection using the tail of score distributions.
SIGIR
Robin Aly, Djoerd Hiemstra, Thomas Demeester
2013 — conf
UGent Participation in the TAC 2013 Entity-Linking Task.
TAC
Laurent Mertens, Thomas Demeester, Johannes Deleu, Chris Develder
2013 — conf
What Snippets Say About Pages.
DIR
Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra
2012 A conf
Federated search in the wild: the combined power of over a hundred search engines.
CIKM
Dong Nguyen, Thomas Demeester, Dolf Trieschnigg, Djoerd Hiemstra
2012 — conf
UGent Participation in the Microblog Track 2012.
TREC
Thong Hoang Van Duc, Thomas Demeester, Johannes Deleu, Piet Demeester, Chris Develder
2012 — conf
UGent Participation in the TAC 2012 Entity-Linking Task.
TAC
Laurent Mertens, Thomas Demeester, Johannes Deleu, Chris Develder, Piet Demeester
2012 — conf
What Snippets Say about Pages in Federated Web Search.
AIRS
Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra
2011 Misc conf
Towards a Better Understanding of the Relationship between Probabilistic Models in IR.
ICTIR
Robin Aly, Thomas Demeester