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

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

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

A Self-Training Approach for Short Text Clustering

A. Hadifar, L. Sterckx, T. Demeester and C. Develder

REPL4NLP at ACL 2019

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

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

Arxiv

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

L. Sterckx, J. Naradowsky, B. Byrne, T. Demeester and C. Develder

EMNLP 2017

Creation and Evaluation of Large Keyphrase Extraction Collections with Multiple Opinions

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

Language Resources and Evaluation

Supervised Keyphrase Extraction as Positive Unlabeled Learning

L. Sterckx, C. Caragea, T. Demeester and C. Develder

EMNLP 2016

Knowledge Base Population using Semantic Label Propagation

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

Knowledge Based Systems

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

Topical Word Importance for Fast Keyphrase Extraction

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

WWW 2015 (Poster Session)

When Topic Models Disagree: Keyphrase Extraction with Multiple Topic Models

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

WWW 2015 (Poster Session)

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

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

Assessing Quality of Unsupervised Topics in Song Lyrics

L. Sterckx, T. Demeester, J Deleu, L. Mertens and C Develder

ECIR 2014

Reports

An Evaluation of Neural Network Models for Toxic Comment Classification

L. Sterckx

Kaggle Participation

Thesis

Methods for Efficient Supervision in Natural Language Processing

L. Sterckx

Talks

Information Extraction from Medical Notes for Early Birth Risk Prediction

12th Belgium NLP Meetup - December 2019

Knowledge Base Population from Text and Graphs

Cambridge Language Technology Lab, Seminar - February 2017

Distributed Representations of Relation Paths to Bootstrap Relation Extractors

UCL Machine Reading Lab, Internal Workshop - July 2016