Search Results for author: Lucas Sterckx

Found 9 papers, 3 papers with code

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

1 code implementation25 Oct 2022 Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester

This paper studies how a large existing set of manually created answers and distractors for questions over a variety of domains, subjects, and languages can be leveraged to help teachers in creating new MCQs, by the smart reuse of existing distractors.

Multiple-choice Question Generation +1

A Self-Training Approach for Short Text Clustering

1 code implementation WS 2019 Amir Hadifar, Lucas Sterckx, Thomas Demeester, Chris Develder

Short text clustering is a challenging problem when adopting traditional bag-of-words or TF-IDF representations, since these lead to sparse vector representations of the short texts.

Deep Clustering Sentence Embedding +2

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

no code implementations25 Jun 2018 Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester

We extend sequence-to-sequence models with the possibility to control the characteristics or style of the generated output, via attention that is generated a priori (before decoding) from a latent code vector.

Lexical Simplification

Knowledge Base Population using Semantic Label Propagation

no code implementations19 Nov 2015 Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder

We propose to combine distant supervision with minimal manual supervision in a technique called feature labeling, to eliminate noise from the large and noisy initial training set, resulting in a significant increase of precision.

Knowledge Base Population

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