Research Explorer

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Thomas Demeester

Prijzen & Erkenningen

140 Resultaten

2024

Adaptive second language tutoring using generative AI and a social robot

Eva VerhelstRuben JanssensThomas DemeesterTony Belpaeme

BioLORD-2023 : semantic textual representations fusing large language models and clinical knowledge graph insights

François RemyKris DemuynckThomas Demeester

A1 Artikel in een tijdschrift in JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

EmoTwiCS : a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter

Sofie LabatThomas DemeesterVeronique Hoste

A1 Artikel in een tijdschrift in LANGUAGE RESOURCES AND EVALUATION

Few-shot out-of-scope intent classification : analyzing the robustness of prompt-based learning

Yiwei JiangMaarten De RaedtJohannes DeleuThomas DemeesterChris Develder

A1 Artikel in een tijdschrift in APPLIED INTELLIGENCE

Language model adaptation with applications in artificial intelligence for education

Semere Kiros BitewChris DevelderThomas Demeester

Learning to reuse distractors to support multiple choice question generation in education

Semere Kiros BitewAmir HadifarLucas SterckxJohannes DeleuChris DevelderThomas Demeester

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES

Revisiting clustering for efficient unsupervised dialogue structure induction

Maarten De RaedtFréderic GodinChris DevelderThomas Demeester

U Artikel in een tijdschrift in APPLIED INTELLIGENCE

Time-dependent complexity characterisation of activity patterns in patients with Chronic Fatigue Syndrome

Paloma RabaeyPeter DecatStefan HeytensDirk VogelaersAn MarimanThomas Demeester

A1 Artikel in een tijdschrift in BIOPSYCHOSOCIAL MEDICINE

Towards grounded and robust task-oriented dialogue systems

Yiwei JiangThomas DemeesterChris Develder

2023

Accelerating Hierarchical Associative Memory: A Deep Equilibrium Approach

Cédric GoemaereJohannes DeleuThomas Demeester

Automatic glossary of clinical terminology : a large-scale dictionary of biomedical definitions generated from ontological knowledge

François RemyKris DemuynckThomas Demeester

BioDEX : large-scale biomedical adverse drug event extraction for real-world pharmacovigilance

Karel D'OosterlinckFrançois RemyJohannes DeleuThomas DemeesterChris DevelderKlim ZaporojetsArya GhodsiS EllershawJ. CollinsC. Potts

CAW-coref : conjunction-aware word-level coreference resolution

Karel D'OosterlinckSemere Kiros BitewB. PapineauC. PottsThomas DemeesterChris Develder

Career path prediction using resume representation learning and skill-based matching

Jens-Joris DecorteJeroen Van HautteJohannes DeleuChris DevelderThomas Demeester

CookDial : a dataset for task-oriented dialogs grounded in procedural documents

Yiwei JiangKlim ZaporojetsJohannes DeleuThomas DemeesterChris Develder

A1 Artikel in een tijdschrift in APPLIED INTELLIGENCE

Detecting idiomatic multiword expressions in clinical terminology using definition-based representation learning

François RemyAlfiya KhabibullinaThomas Demeester

Distractor generation for multiple-choice questions with predictive prompting and large language models

Semere Kiros BitewJohannes DeleuChris DevelderThomas Demeester

Diverse content selection for educational question generation

Amir HadifarSemere Kiros BitewJohannes DeleuVeronique HosteChris DevelderThomas Demeester

EduQG : a multi-format multiple-choice dataset for the educational domain

Amir HadifarSemere Kiros BitewJohannes DeleuChris DevelderThomas Demeester

A1 Artikel in een tijdschrift in IEEE ACCESS

Extreme multi-label skill extraction training using large language models

Jens-Joris DecorteSeverine VerlindenJeroen Van HautteJohannes DeleuChris DevelderThomas Demeester

From numbers to words : multi-modal bankruptcy prediction using the ECL dataset

Henri ArnoKlaas MulierJoke BaeckThomas Demeester

IDAS : intent discovery with abstractive summarization

Maarten De RaedtFréderic GodinThomas DemeesterChris Develder

Learning from partially annotated data : example-aware creation of gap-filling exercises for language learning

Semere Kiros BitewJohannes DeleuA. Seza DoğruözChris DevelderThomas Demeester

Synthetic data : can we trust statistical estimators?

Alexander DecruyenaereHeidelinde DehaenePaloma RabaeyChristiaan PoletJohan DecruyenaereStijn VansteelandtThomas Demeester

Towards efficient NLP models : strategies for improving data selection, training, and inference

Amir HadifarChris DevelderThomas DemeesterVeronique Hoste

Unimodalities count as perspectives in multimodal emotion annotation

Quanqi DuSofie LabatThomas DemeesterVeronique Hoste

Zero-shot cross-lingual sentiment classification under distribution shift : an exploratory study

Maarten De RaedtSemere Kiros BitewFréderic GodinThomas DemeesterChris Develder

2022

'Cool glasses, where did you get them?' : generating visually grounded conversation starters for human-robot dialogue

Ruben JanssensPieter WolfertThomas DemeesterTony Belpaeme

An emotional journey : detecting emotion trajectories in Dutch customer service dialogues

Sofie LabatAmir HadifarThomas DemeesterVeronique Hoste

BioLORD : learning ontological representations from definitions for biomedical concepts and their textual descriptions

François RemyKris DemuynckThomas Demeester

DLIME-graphs : a DLIME extension based on triple embedding for graphs

Yoan A. LopezHector R. Gonzalez DiezOrlando Grabiel Toledano-LopezYusniel Hidalgo-DelgadoErik MannensThomas Demeester

Design of negative sampling strategies for distantly supervised skill extraction

Jens-Joris DecorteJeroen Van HautteJohannes DeleuChris DevelderThomas Demeester

Neural Bayesian network understudy

Paloma RabaeyCedric De BoomThomas Demeester

Neural approaches to entity-centric information extraction

Klim ZaporojetsChris DevelderThomas Demeester

Next-year bankruptcy prediction from textual data : benchmark and baselines

Henri ArnoKlaas MulierJoke BaeckThomas Demeester

Robustifying sentiment classification by maximally exploiting few counterfactuals

Maarten De RaedtFréderic GodinChris DevelderThomas Demeester

TempEL : linking dynamically evolving and newly emerging entities

Klim ZaporojetsLucie-Aimée KaffeeJohannes DeleuThomas DemeesterChris DevelderIsabelle Augenstein

Towards consistent document-level entity linking : joint models for entity linking and coreference resolution

Klim ZaporojetsJohannes DeleuYiwei JiangThomas DemeesterChris Develder

UGent-T2K at the 2nd DialDoc shared task : a retrieval-focused dialog system grounded in multiple documents

Yiwei JiangAmir HadifarJohannes DeleuThomas DemeesterChris Develder

Variation in the expression and annotation of emotions : a Wizard of Oz pilot study

Sofie LabatNaomi AckaertThomas DemeesterVeronique Hoste

Visual conversation starters for human-robot interaction

Ruben JanssensThomas DemeesterTony Belpaeme

2021

A million tweets are worth a few points : tuning transformers for customer service tasks

Amir HadifarSofie LabatVeronique HosteChris DevelderThomas Demeester

A simple geometric method for cross-lingual linguistic transformations with pre-trained autoencoders

Maarten De RaedtFréderic GodinPieter ButeneersChris DevelderThomas Demeester

Chapter 7 : Neuro-symbolic AI = neural + logical + probabilistic AI

R. ManhaeveG. MarraThomas DemeesterS. DumancicA. KimmigL. De Raedt

Hoofdstuk in een boek in Neuro-symbolic artificial intelligence : the state of the art

DWIE : an entity-centric dataset for multi-task document-level information extraction

Klim ZaporojetsJohannes DeleuChris DevelderThomas Demeester

A1 Artikel in een tijdschrift in INFORMATION PROCESSING & MANAGEMENT

Exploration of block-wise dynamic sparseness

Amir HadifarJohannes DeleuChris DevelderThomas Demeester

A1 Artikel in een tijdschrift in PATTERN RECOGNITION LETTERS

Injecting knowledge base information into end-to-end joint entity and relation extraction and coreference resolution

Severine VerlindenKlim ZaporojetsJohannes DeleuThomas DemeesterChris Develder

JobBERT : understanding job titles through skills

Jens-Joris DecorteJeroen Van HautteThomas DemeesterChris Develder

Lazy low-resource coreference resolution : a study on leveraging black-box translation tools

Semere Kiros BitewJohannes DeleuChris DevelderThomas Demeester

Neural probabilistic logic programming in DeepProbLog

Robin ManhaeveSebastijan DumančićAngelika KimmigThomas DemeesterLuc De Raedt

A1 Artikel in een tijdschrift in ARTIFICIAL INTELLIGENCE

Overly optimistic prediction results on imbalanced data : a case study of flaws and benefits when applying over-sampling

Gilles VandewieleIsabelle DehaeneGyörgy KovácsLucas SterckxOlivier JanssensFemke OngenaeFemke De BackereFilip De TurckKristien RoelensJohan Decruyenaere et al.

A1 Artikel in een tijdschrift in ARTIFICIAL INTELLIGENCE IN MEDICINE

Solving arithmetic word problems by scoring equations with recursive neural networks

Klim ZaporojetsGiannis BekoulisJohannes DeleuThomas DemeesterChris Develder

A1 Artikel in een tijdschrift in EXPERT SYSTEMS WITH APPLICATIONS

2020

Clinical information extraction for preterm birth risk prediction

Lucas SterckxGilles VandewieleIsabelle DehaeneOlivier JanssensFemke OngenaeFemke De BackereFilip De TurckKristien RoelensJohan DecruyenaereSofie Van Hoecke et al.

A1 Artikel in een tijdschrift in JOURNAL OF BIOMEDICAL INFORMATICS

Guidelines for annotating fine-grained emotion trajectories in customer service dialogues (version 1.0)

Sofie LabatThomas DemeesterVeronique Hoste

Recipe instruction semantics corpus (RISeC) : resolving semantic structure and zero anaphora in recipes

Yiwei JiangKlim ZaporojetsJohannes DeleuThomas DemeesterChris Develder

System identification with time-aware neural sequence models

Thomas Demeester

2019

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

Gilles VandewieleIsabelle DehaeneOlivier JanssensFemke OngenaeFemke De BackereFilip De TurckKristien RoelensSofie Van HoeckeThomas Demeester

A self-training approach for short text clustering

Amir HadifarLucas SterckxThomas DemeesterChris Develder

Character-level recurrent neural networks in practice : comparing training and sampling schemes

Cedric De BoomThomas DemeesterBart Dhoedt

A1 Artikel in een tijdschrift in NEURAL COMPUTING & APPLICATIONS

Neural approaches to sequence labeling for information extraction

Ioannis BekoulisChris DevelderThomas Demeester

Neuro-Symbolic = Neural + Logical + Probabilistic

Luc De RaedtR. ManhaeveS. DumancicThomas DemeesterA. Kimmig

Predicting suicide risk from online postings in Reddit : the UGent-IDLab submission to the CLPysch 2019 Shared Task A

Semere Kiros BitewIoannis BekoulisJohannes DeleuLucas SterckxKlim ZaporojetsThomas DemeesterChris Develder

Sub-event detection from Twitter streams as a sequence labeling problem

Ioannis BekoulisJohannes DeleuThomas DemeesterChris Develder

Time-to-birth prediction models and the influence of expert opinions

Gilles VandewieleIsabelle DehaeneOlivier JanssensFemke OngenaeFemke De BackereFilip De TurckKristien RoelensSofie Van HoeckeThomas Demeester

2018

Adversarial training for multi-context joint entity and relation extraction

Ioannis BekoulisJohannes DeleuThomas DemeesterChris Develder

An attentive neural architecture for joint segmentation and parsing and its application to real estate ads

Ioannis BekoulisJohannes DeleuThomas DemeesterChris Develder

A1 Artikel in een tijdschrift in EXPERT SYSTEMS WITH APPLICATIONS

Creation and evaluation of large keyphrase extraction collections with multiple opinions

Lucas SterckxThomas DemeesterJohannes DeleuChris Develder

A1 Artikel in een tijdschrift in LANGUAGE RESOURCES AND EVALUATION

DeepProbLog : neural probabilistic logic programming

R. ManhaeveS. DumancicA. KimmigThomas DemeesterL. De Raedt

Explaining character-aware neural networks for word-level prediction : do they discover linguistic rules?

Fréderic GodinKris DemuynckJoni DambreWesley De NeveThomas Demeester

Jack the reader : a machine reading framework

Dirk WeissenbornPasquale MinervineTim DettmersIsabelle AugensteinJohannes WelbiTim RocktaschelMatko BosnjakJeff MitchellThomas DemeesterPontus Stenetorp et al.

Joint entity recognition and relation extraction as a multi-head selection problem

Ioannis BekoulisJohannes DeleuThomas DemeesterChris Develder

A1 Artikel in een tijdschrift in EXPERT SYSTEMS WITH APPLICATIONS

Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales

Cedric De BoomRohan AgrawalSamantha HansenEsh KumarRomain YonChing-Wei ChenThomas DemeesterBart Dhoedt

A1 Artikel in een tijdschrift in MULTIMEDIA TOOLS AND APPLICATIONS

Methoden voor efficiënte supervisie van automatische taalverwerking

Lucas SterckxChris DevelderThomas Demeester

Modeling and predicting the popularity of online news based on temporal and content-related features

Steven Van CanneytPhilip LerouxBart DhoedtThomas Demeester

A1 Artikel in een tijdschrift in MULTIMEDIA TOOLS AND APPLICATIONS

Predefined sparseness in recurrent sequence model

Thomas DemeesterJohannes DeleuFréderic GodinChris Develder

Predicting psychological health from childhood essays : the UGent-IDLab CLPsych 2018 shared task system.

Klim ZaporojetsLucas SterckxJohannes DeleuThomas DemeesterChris Develder

Representation learning for symbolic sequences

Cedric De BoomBart DhoedtThomas Demeester

The B2 level and the dream of a common standard

Bart DeygersKoen Van GorpThomas Demeester

A1 Artikel in een tijdschrift in LANGUAGE ASSESSMENT QUARTERLY

2017

Adversarial sets for regularising neural link predictors

P. MinerviniThomas DemeesterT. RocktäschelS. Riedel

Break it down for me : a study in automated lyric annotation

Lucas SterckxJ. NaradowskyB. ByrneThomas DemeesterChris Develder

Reconstructing the house from the ad: Structured prediction on real estate classifieds

Ioannis BekoulisJohannes DeleuThomas DemeesterChris Develder

2016

An automated end-to-end pipeline for fine-grained video annotation using deep neural networks

Baptist VandersmissenLucas SterckxThomas DemeesterAzarakhsh JalalvandWesley De NeveRik Van de Walle

Efficiency Evaluation of Character-level RNN Training Schedules

Cedric De BoomSam LerouxSteven BohezPieter SimoensThomas DemeesterBart Dhoedt

Knowledge base population using semantic label propagation

Lucas SterckxThomas DemeesterJohannes DeleuChris Develder

A1 Artikel in een tijdschrift in KNOWLEDGE-BASED SYSTEMS

Knowledge extraction and popularity modeling using social media

Steven Van CanneytBart DhoedtSteven SchockaertThomas Demeester

Learning representations for tweets through word embeddings

Cedric De BoomSteven Van CanneytThomas DemeesterBart Dhoedt

Lifted rule injection for relation embeddings

Thomas DemeesterT. RocktäschelS. Riedel

Modeling and analysis of residential flexibility: timing of white good usage

Nasrin SadeghianpourhamamiThomas DemeesterDries BenoitMatthias StrobbeChris Develder

A1 Artikel in een tijdschrift in APPLIED ENERGY

Predicting relevance based on assessor disagreement : analysis and practical applications for search evaluation

Thomas DemeesterRobin AlyDjoerd HiemstraDong Nguyen Dong NguyenChris Develder

A1 Artikel in een tijdschrift in INFORMATION RETRIEVAL JOURNAL

Regularizing relation representations by first-order implications

Thomas DemeesterT. RocktäschelS. Riedel

Representation learning for very short texts using weighted word embedding aggregation

Cedric De BoomSteven Van CanneytThomas DemeesterBart Dhoedt

A1 Artikel in een tijdschrift in PATTERN RECOGNITION LETTERS

Supervised keyphrase extraction as positive unlabeled learning

Lucas SterckxThomas DemeesterChris DevelderC Caragea

2015

FedWeb greatest hits : presenting the new test collection for federated web search

Thomas DemeesterDolf TrieschniggKe ZhouDong Nguyen Dong NguyenDjoerd Hiemstra

Ghent University-IBCN participation in the TAC KBP 2015 cold start slot filling task

Lucas SterckxThomas DemeesterJohannes DeleuChris Develder

Learning semantic similarity for very short texts

Cedric De BoomSteven Van CanneytSteven BohezThomas DemeesterBart Dhoedt

Topical word importance for fast keyphrase extraction

Lucas SterckxThomas DemeesterJohannes DeleuChris Develder

When topic models disagree: keyphrase extraction with mulitple topic models

Lucas SterckxThomas DemeesterJohannes DeleuChris Develder

2014

Aligning vertical collection relevance with user intent

Ke ZhouThomas DemeesterDong NguyenDjoerd HiemstraDolf Trieschnigg

Assessing quality of unsupervised topics in song lyrics

Lucas SterckxThomas DemeesterJohannes DeleuLaurent MertensChris Develder

Detecting newsworthy topics in Twitter

Steven Van CanneytMatthias FeysSteven SchockaertThomas DemeesterChris DevelderBart Dhoedt

Entity linking: test collections revisited

Laurent MertensThomas DemeesterJohannes DeleuMatthias FeysChris Develder

Exploiting user disagreement for web search evaluation: an experimental approach

Thomas DemeesterR AlyD HiemstraD NguyenD TrieschniggChris Develder

Ghent University-IBCN participation in TAC-KBP 2014 slot filling and cold start tasks

Matthias FeysLucas SterckxLaurent MertensJohannes DeleuThomas DemeesterChris Develder

On the robustness of event detection evaluation: a case study

Matthias FeysThomas DemeesterBlaž FortunaJohannes DeleuChris Develder

Probabilistic models in IR and their relationships

R AlyThomas DemeesterS Robertson

A1 Artikel in een tijdschrift in INFORMATION RETRIEVAL

Towards large-scale event detection and extraction from news

Blaž FortunaThomas DemeesterChris Develder

Using active learning and semantic clustering for noise reduction in distant supervision

Lucas SterckxThomas DemeesterJohannes DeleuChris Develder

2013

Mirex and taily at TREC 2013

R AlyD HiemstraD TrieschniggThomas Demeester

Overview of the TREC 2013 federated web search track

Thomas DemeesterD TrieschniggD NguyenD Hiemstra

Snippet-based relevance predictions for federated web search

Thomas DemeesterDong NguyenDolf TrieschniggChris DevelderDjoerd Hiemstra

Taily: Shard selection using the tail of score distributions

R AlyD HiemstraThomas Demeester

UGent participation in the TAC 2013 entity-linking task

Laurent MertensThomas DemeesterJohannes DeleuChris Develder

2012

Context-based person identification for news collection

Laurent MertensThomas DemeesterJohannes DeleuChris DevelderPiet Demeester

Effectiveness of learning to rank for finding user similarity in social media

Thong Hoang Van DucThomas DemeesterChris DevelderHyoseop Shin

Federated search in the wild: the combined power of over a hundred search engines

Dong NguyenThomas DemeesterDolf TrieschniggDjoerd Hiemstra

Implementation and evaluation of query filtering in a role ontology-enhanced search engine

Stijn VandammeTim WautersThomas DemeesterFilip De Turck

MediaHaven: multimedia asset management with integrated NER and categorization

Bruno Van Den BosscheBrecht VermeulenJohannes DeleuThomas DemeesterPiet Demeester

Named entity recognition on flemish audio-visual and news-paper archives

Johannes DeleuAn De MoorThomas DemeesterBrecht VermeulenPiet Demeester

UGent participation in the Microblog Track 2012

Thong Hoang Van DucThomas DemeesterJohannes DeleuPiet DemeesterChris Develder

UGent participation in the TAC2012 entity-linking task

Laurent MertensThomas DemeesterJohannes DeleuPiet DemeesterChris Develder

What snippets say about pages in federated web search

Thomas DemeesterDong NguyenDolf TrieschniggChris DevelderDjoerd Hiemstra

2011

Broadband passive RLGC(f) modeling for on-chip interconnect design

Dries Vande GinsteDirk DeschrijverThomas DemeesterTom DhaeneDaniël De Zutter

Eigenmode-based capacitance calculations with applications in passivation layer design

Thomas DemeesterDaniël De Zutter

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY

Frequency-dependent substrate characterization via an iterative pole search algorithm

Thomas DemeesterMaarten CauweDaniël De Zutter

A1 Artikel in een tijdschrift in IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS

Towards a better understanding of the relationship between probabilistic models in IR

Robin AlyThomas Demeester

2010

Accurate study of the electromagnetic and circuit behavior of finite conducting wedges and interconnects with arbitrary cross-sections

Thomas DemeesterDries Vande GinsteDaniël De Zutter

Construction of the dirichlet to neumann boundary operator for triangles and applications in the analysis of polygonal conductors

Thomas DemeesterDaniël De Zutter

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

Fields at a finite conducting wedge and applications in interconnect modeling

Thomas DemeesterDaniël De Zutter

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

2009

Applications of the Dirichlet-to-Neumann boundary operator in transmission line modeling

Thomas DemeesterDaniël De Zutter

Conductor modeling with the surface admittance operator of triangles

Thomas DemeesterDaniël De Zutter

Construction and applications of the Dirichlet-to-Neumann operator in transmission line modeling

Thomas DemeesterDaniël De Zutter

A1 Artikel in een tijdschrift in TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES

Internal impedance of composite conductors with arbitrary cross section

Thomas DemeesterDaniël De Zutter

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

Modeling the broadband resistive and inductive behavior of polygonal conductors

Thomas DemeesterDaniël De Zutter

2008

Design and simulation of on-chip lossy transmission line pairs

Thomas DemeesterDaniël De Zutter

Modeling the broadband inductive and resistive behavior of composite conductors

Thomas DemeesterDaniël De Zutter

A1 Artikel in een tijdschrift in IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS

Quasi-TM transmission line parameters of coupled lossy lines based on the Dirichlet to Neumann boundary operator

Thomas DemeesterDaniël De Zutter

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

Transmission line modeling of coupled lines in a semiconducting substrate

Daniël De ZutterThomas Demeester

2007

Determination of the broadband transmission line parameters of lossy lines using the Dirichlet to Neumann operator

Thomas DemeesterDaniël De Zutter

Development of a general lossy transmission line model

Thomas DemeesterDaniël De Zutter

Modeling of the resistive and inductive behaviour of layered and coated conductors

Thomas DemeesterDaniël De Zutter