Comparative study of electronic visualisation techniques for e-learning. - An Braeken; Lucas Sterckx; Abdellah Touhafi; Yannick Verbelen; Francis Gueuning (EDUCON, 2012)

Assessing Quality of Unsupervised Topics in Song Lyrics. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Laurent Mertens; Chris Develder (ECIR, 2014)

Ghent University - IBCN Participation in the TAC KBP 2015 Cold Start Slot Filling task. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (TAC, 2015)

Topical Word Importance for Fast Keyphrase Extraction. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (WWW (Companion Volume), 2015)

When Topic Models Disagree: Keyphrase Extraction with Multiple Topic Models. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (WWW (Companion Volume), 2015)

Supervised Keyphrase Extraction as Positive Unlabeled Learning. - Lucas Sterckx; Cornelia Caragea; Thomas Demeester; Chris Develder (EMNLP, 2016)

An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks. - Baptist Vandersmissen; Lucas Sterckx; Thomas Demeester; Azarakhsh Jalalvand; Wesley De Neve; Rik Van de Walle (ICMR, 2016)

Knowledge base population using semantic label propagation. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (Knowl. Based Syst., 2016)

Break it Down for Me: A Study in Automated Lyric Annotation. - Lucas Sterckx; Jason Naradowsky; Bill Byrne; Thomas Demeester; Chris Develder (EMNLP, 2017)

Predicting Psychological Health from Childhood Essays. The UGent-IDLab CLPsych 2018 Shared Task System. - Klim Zaporojets; Lucas Sterckx; Johannes Deleu; Thomas Demeester; Chris Develder (CLPsych@NAACL-HTL, 2018)

Prior Attention for Style-aware Sequence-to-Sequence Models. - Lucas Sterckx; Johannes Deleu; Chris Develder; Thomas Demeester (CoRR, 2018)

Creation and evaluation of large keyphrase extraction collections with multiple opinions. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (Lang. Resour. Evaluation, 2018)

A Self-Training Approach for Short Text Clustering. - Amir Hadifar; Lucas Sterckx; Thomas Demeester; Chris Develder (RepL4NLP@ACL, 2019)

Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling. - Gilles Vandewiele; Isabelle Dehaene; György Kovács 002; Lucas Sterckx; Olivier Janssens; Femke Ongenae; Femke De Backere; Filip De Turck; Kristien Roelens; Johan Decruyenaere; Sofie Van Hoecke; Thomas Demeester (CoRR, 2020)

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

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling. - Gilles Vandewiele; Isabelle Dehaene; György Kovács 002; Lucas Sterckx; Olivier Janssens; Femke Ongenae; Femke De Backere; Filip De Turck; Kristien Roelens; Johan Decruyenaere; Sofie Van Hoecke; Thomas Demeester (Artif. Intell. Medicine, 2021)

Distractor Retrieval Dataset. - Semere Kiros Bitew; Amir Hadifar; Lucas Sterckx; Johannes Deleu; Chris Develder; Thomas Demeester (IEEE DataPort, 2022)

Learning to Reuse Distractors to Support Multiple-Choice Question Generation in Education. - Semere Kiros Bitew; Amir Hadifar; Lucas Sterckx; Johannes Deleu; Chris Develder; Thomas Demeester (IEEE Trans. Learn. Technol., 2024)