Thomas Demeester

Orcid: 0000-0002-9901-5768

Affiliations:
  • Ghent University, Belgium


According to our database1, Thomas Demeester authored at least 115 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning to Reuse Distractors to Support Multiple-Choice Question Generation in Education.
IEEE Trans. Learn. Technol., 2024

Clinical Reasoning over Tabular Data and Text with Bayesian Networks.
CoRR, 2024

From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset.
CoRR, 2024

In-Context Learning for Extreme Multi-Label Classification.
CoRR, 2024

Few-shot out-of-scope intent classification: analyzing the robustness of prompt-based learning.
Appl. Intell., 2024

Adaptive Second Language Tutoring Using Generative AI and a Social Robot.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
CookDial: a dataset for task-oriented dialogs grounded in procedural documents.
Appl. Intell., February, 2023

Synthetic Data: Can We Trust Statistical Estimators?
CoRR, 2023

Exploring the Temperature-Dependent Phase Transition in Modern Hopfield Networks.
CoRR, 2023

BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical Knowledge Graph Insights.
CoRR, 2023

Accelerating Hierarchical Associative Memory: A Deep Equilibrium Approach.
CoRR, 2023

Training a Hopfield Variational Autoencoder with Equilibrium Propagation.
CoRR, 2023

Flexible Model Interpretability through Natural Language Model Editing.
CoRR, 2023

Zero-Shot Cross-Lingual Sentiment Classification under Distribution Shift: an Exploratory Study.
CoRR, 2023

EmoTwiCS: A Corpus for Modelling Emotion Trajectories in Dutch Customer Service Dialogues on Twitter.
CoRR, 2023

CAW-coref: Conjunction-Aware Word-level Coreference Resolution.
CoRR, 2023

Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation.
CoRR, 2023

Distractor generation for multiple-choice questions with predictive prompting and large language models.
CoRR, 2023

Extreme Multi-Label Skill Extraction Training using Large Language Models.
CoRR, 2023

Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge.
CoRR, 2023

IDAS: Intent Discovery with Abstractive Summarization.
CoRR, 2023

EduQG: A Multi-Format Multiple-Choice Dataset for the Educational Domain.
IEEE Access, 2023

Unimodalities Count as Perspectives in Multimodal Emotion Annotation.
Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning.
Proceedings of the 19th Workshop on Multiword Expressions, 2023

Career Path Prediction using Resume Representation Learning and Skill-based Matching.
Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Diverse Content Selection for Educational Question Generation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2023, 2023

Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022
Distractor Retrieval Dataset.
Dataset, October, 2022

Neural Bayesian Network Understudy.
CoRR, 2022

Next-Year Bankruptcy Prediction from Textual Data: Benchmark and Baselines.
CoRR, 2022

Fine-tuning mT5-based Transformer via CMA-ES for Sentiment Analysis.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

TempEL: Linking Dynamically Evolving and Newly Emerging Entities.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Variation in the Expression and Annotation of Emotions: A Wizard of Oz Pilot Study.
Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022

DLIME-Graphs: A DLIME Extension Based on Triple Embedding for Graphs.
Proceedings of the Knowledge Graphs and Semantic Web, 2022

"Cool glasses, where did you get them?": Generating Visually Grounded Conversation Starters for Human-Robot Dialogue.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction.
Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

BioLORD: Learning Ontological Representations from Definitions for Biomedical Concepts and their Textual Descriptions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

An Emotional Journey: Detecting Emotion Trajectories in Dutch Customer Service Dialogues.
Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022

Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

UGent-T2K at the 2nd DialDoc Shared Task: A Retrieval-Focused Dialog System Grounded in Multiple Documents.
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021
Neuro-Symbolic AI = Neural + Logical + Probabilistic AI.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

Exploration of block-wise dynamic sparseness.
Pattern Recognit. Lett., 2021

DWIE: An entity-centric dataset for multi-task document-level information extraction.
Inf. Process. Manag., 2021

Solving arithmetic word problems by scoring equations with recursive neural networks.
Expert Syst. Appl., 2021

JobBERT: Understanding Job Titles through Skills.
CoRR, 2021

Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution.
CoRR, 2021

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling.
Artif. Intell. Medicine, 2021

Neural probabilistic logic programming in DeepProbLog.
Artif. Intell., 2021

A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Clinical information extraction for preterm birth risk prediction.
J. Biomed. Informatics, 2020

Solving Math Word Problems by Scoring Equations with Recursive Neural Networks.
CoRR, 2020

Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling.
CoRR, 2020

Block-wise Dynamic Sparseness.
CoRR, 2020

Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

System Identification with Time-Aware Neural Sequence Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Character-level recurrent neural networks in practice: comparing training and sampling schemes.
Neural Comput. Appl., 2019

A Self-Training Approach for Short Text Clustering.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Neuro-Symbolic = Neural + Logical + Probabilistic.
Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Sub-event detection from twitter streams as a sequence labeling problem.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

DeepProbLog: Neural Probabilistic Logic Programming.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Adversarial Perturbations for Joint Entity and Relation Extraction.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset.
Proceedings of the Artificial Intelligence in Medicine, 2019

Time-to-Birth Prediction Models and the Influence of Expert Opinions.
Proceedings of the Artificial Intelligence in Medicine, 2019

2018
Modeling and predicting the popularity of online news based on temporal and content-related features.
Multim. Tools Appl., 2018

Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales.
Multim. Tools Appl., 2018

Creation and evaluation of large keyphrase extraction collections with multiple opinions.
Lang. Resour. Evaluation, 2018

Joint entity recognition and relation extraction as a multi-head selection problem.
Expert Syst. Appl., 2018

An attentive neural architecture for joint segmentation and parsing and its application to real estate ads.
Expert Syst. Appl., 2018

Prior Attention for Style-aware Sequence-to-Sequence Models.
CoRR, 2018

Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Adversarial training for multi-context joint entity and relation extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Predefined Sparseness in Recurrent Sequence Models.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Jack the Reader - A Machine Reading Framework.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

Predicting Psychological Health from Childhood Essays. The UGent-IDLab CLPsych 2018 Shared Task System.
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

2017
Adversarial Sets for Regularising Neural Link Predictors.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Break it Down for Me: A Study in Automated Lyric Annotation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Reconstructing the house from the ad: Structured prediction on real estate classifieds.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Representation learning for very short texts using weighted word embedding aggregation.
Pattern Recognit. Lett., 2016

Knowledge base population using semantic label propagation.
Knowl. Based Syst., 2016

Predicting relevance based on assessor disagreement: analysis and practical applications for search evaluation.
Inf. Retr. J., 2016

Resource Selection for Federated Search on the Web.
CoRR, 2016

Efficiency Evaluation of Character-level RNN Training Schedules.
CoRR, 2016

An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Supervised Keyphrase Extraction as Positive Unlabeled Learning.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Lifted Rule Injection for Relation Embeddings.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Regularizing Relation Representations by First-order Implications.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

2015
When Topic Models Disagree: Keyphrase Extraction with Multiple Topic Models.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Topical Word Importance for Fast Keyphrase Extraction.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

FedWeb Greatest Hits: Presenting the New Test Collection for Federated Web Search.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Ghent University - IBCN Participation in the TAC KBP 2015 Cold Start Slot Filling task.
Proceedings of the 2015 Text Analysis Conference, 2015

Learning Semantic Similarity for Very Short Texts.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Probabilistic models in IR and their relationships.
Inf. Retr., 2014

Detecting Newsworthy Topics in Twitter.
Proceedings of the SNOW 2014 Data Challenge co-located with 23rd International World Wide Web Conference (WWW 2014), 2014

Exploiting user disagreement for web search evaluation: an experimental approach.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Overview of the TREC 2014 Federated Web Search Track.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014

Entity Linking: Test Collections Revisited.
Proceedings of the Forum for Information Retrieval Evaluation, 2014

On the robustness of event detection evaluation: a case study.
Proceedings of the Forum for Information Retrieval Evaluation, 2014

Assessing Quality of Unsupervised Topics in Song Lyrics.
Proceedings of the Advances in Information Retrieval, 2014

Aligning Vertical Collection Relevance with User Intent.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Overview of the TREC 2013 Federated Web Search Track.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Mirex and Taily at TREC 2013.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

UGent Participation in the TAC 2013 Entity-Linking Task.
Proceedings of the Sixth Text Analysis Conference, 2013

Taily: shard selection using the tail of score distributions.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Snippet-Based Relevance Predictions for Federated Web Search.
Proceedings of the Advances in Information Retrieval, 2013

What Snippets Say About Pages.
Proceedings of the 13th Dutch-Belgian Workshop on Information Retrieval, 2013

2012
UGent Participation in the Microblog Track 2012.
Proceedings of The Twenty-First Text REtrieval Conference, 2012

UGent Participation in the TAC 2012 Entity-Linking Task.
Proceedings of the Fifth Text Analysis Conference, 2012

Federated search in the wild: the combined power of over a hundred search engines.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

What Snippets Say about Pages in Federated Web Search.
Proceedings of the Information Retrieval Technology, 2012

2011
Towards a Better Understanding of the Relationship between Probabilistic Models in IR.
Proceedings of the Advances in Information Retrieval Theory, 2011


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