Hello and welcome to my personal website!

I am currently working as a Machine Learning Engineer at Belgian scale-up, LynxCare, working on models for clinical natural language processing. Before, I was a research scientist at Nuance Automotive (now Cerence) and a postdoctoral researcher at IDLab's Text-to-Knowledge Group. My research focused on techniques to train and deploy neural network based natural language processing in low-resource settings. I have worked on projects and done research involving sequence-to-sequence models, clinical natural language processing, keyphrase extraction and knowledge base population.

To get in touch, feel free to reach out via mail or connect on social media.

Cheers,
Lucas


Publications

Learning to Reuse Distractors to support Multiple Choice Question Generation in Education

S. K. Bitew, A. Hadifar, L. Sterckx, J. Deleu, C. Develder, T. Demeester
IEEE Transactions on Learning technologies
pdf

Clinical Information Extraction for Preterm Birth Risk Prediction

L. Sterckx, G. Vandewiele, I. Dehaene, O. Janssens, F. Ongenae, F. De Backere
F. De Turck, K. Roelens, J. Decruyenaere, S. Van Hoecke and T. Demeester
Journal of Biomedical Informatics
pdf, code

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

G. Vandewiele, I. Dehaene, G. Kovacs, L. Sterckx, O. Janssens, F. Ongenae, F. De Backere
F. De Turck, K. Roelens, J. Decruyenaere, S. Van Hoecke and T. Demeester
Arxiv
pdf, code

A Self-Training Approach for Short Text Clustering

A. Hadifar, L. Sterckx, T. Demeester and C. Develder
REPL4NLP at ACL 2019
pdf, code

Prior Attention for Style-aware Sequence-to-Sequence Models

L. Sterckx, J. Deleu, C. Develder and T. Demeester
Arxiv
pdf

Break it Down for Me: A Study in Automated Lyric Annotation

L. Sterckx, J. Naradowsky, B. Byrne, T. Demeester and C. Develder
EMNLP 2017
pdf, poster

Creation and Evaluation of Large Keyphrase Extraction Collections with Multiple Opinions

L. Sterckx, T. Demeester, J. Deleu and C. Develder
Language Resources and Evaluation
pdf

Supervised Keyphrase Extraction as Positive Unlabeled Learning

L. Sterckx, C. Caragea, T. Demeester and C. Develder
EMNLP 2016
pdf, poster

Knowledge Base Population using Semantic Label Propagation

L. Sterckx, T. Demeester, J. Deleu and C. Develder
Knowledge Based Systems
pdf

An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks

B. Vandersmissen, L. Sterckx, T. Demeester, A. Jalalvand, W. De Neve and R. Van de Walle
ICMR 2016 (Demo)

Ghent University-IBCN Participation in TAC-KBP 2015 Cold Start Slot Filling task

L. Sterckx, T. Demeester, J Deleu and C Develder
TAC 2015
pdf, poster

Topical Word Importance for Fast Keyphrase Extraction

L. Sterckx, T. Demeester, J. Deleu and C. Develder
WWW 2015 (Poster Session)
pdf, poster, code (by Florian Boudin)

When Topic Models Disagree: Keyphrase Extraction with Multiple Topic Models

L. Sterckx, T. Demeester, J. Deleu and C. Develder
WWW 2015 (Poster Session)
pdf, poster

Using Active Learning and Semantic Clustering for Noise Reduction in Distant Supervision

L. Sterckx, T. Demeester, J. Deleu and C. Develder
AKBC Workshop at NIPS 2014
pdf, poster

Ghent University-IBCN Participation in TAC-KBP 2014 Slot Filling and Coldstart Tasks

M. Feys, L. Sterckx, L. Mertens, J. Deleu, T. Demeester and C. Develder
TAC 2014
pdf

Assessing Quality of Unsupervised Topics in Song Lyrics

L. Sterckx, T. Demeester, J Deleu, L. Mertens and C Develder
ECIR 2014
pdf, poster

Reports

An Evaluation of Neural Network Models for Toxic Comment Classification

L. Sterckx
Kaggle Participation
pdf

Thesis

Methods for Efficient Supervision in Natural Language Processing

L. Sterckx
pdf

Talks

Information Extraction from Medical Notes for Early Birth Risk Prediction

12th Belgium NLP Meetup - December 2019
slides (on request)

Knowledge Base Population from Text and Graphs

Cambridge Language Technology Lab, Seminar - February 2017
slides

Distributed Representations of Relation Paths to Bootstrap Relation Extractors

UCL Machine Reading Lab, Internal Workshop - July 2016
slides