Publicaties
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Embarrassingly simple unsupervised aspect extraction Universiteit Antwerpen
We present a simple but effective method for aspect identification in sentiment analysis. Our unsupervised method only requires word embeddings and a POS tagger, and is therefore straightforward to apply to new domains and languages. We introduce Contrastive Attention (CAt), a novel single-head attention mechanism based on an RBF kernel, which gives a considerable boost in performance and makes the model interpretable. Previous work relied on ...
Orthographic codes and the neighborhood effect Universiteit Antwerpen
We consider the orthographic neighborhood effect: the effect that words with more orthographic similarity to other words are read faster. The neighborhood effect serves as an important control variable in psycholinguistic studies of word reading, and explains variance in addition to word length and word frequency. Following previous work, we model the neighborhood effect as the average distance to neighbors in feature space for three feature ...
The produsing expert consumer Universiteit Antwerpen Universiteit Gent
This article examines the Twitter and Facebook uptake of health messages from an infotainment TV show on food, as broadcasted on Belgium's Dutch-language public broadcaster. The interest in and amount of health-related media coverage is rising, and this media coverage is an important source of information for laypeople, and impacts their health behaviours and therapy compliance. However, the role of the audience has also changed; consumers of ...
Unsupervised concept extraction from clinical text through semantic composition Universiteit Antwerpen
Concept extraction is an important step in clinical natural language processing. Once extracted, the use of concepts can improve the accuracy and generalization of downstream systems. We present a new unsupervised system for the extraction of concepts from clinical text. The system creates representations of concepts from the Unified Medical Language System (UMLS®) by combining natural language descriptions of concepts with word representations, ...
From strings to other things: linking the neighborhood and transposition effects in word reading Universiteit Antwerpen
WordKit: a python package for orthographic and phonological featurization Universiteit Antwerpen
Metameric interactive activation at human scale Universiteit Antwerpen
An oft-cited shortcoming of Interactive Activation as a psychological model of word reading is that it lacks the ability to simultaneously represent words of different lengths. We present an implementation of the Interactive Activation model, which we call Metameric, that can simulate words of different lengths, and show that there is nothing inherent to Interactive Activation which prevents it from simultaneously representing multiple word ...
A short review of ethical challenges in clinical natural language processing Universiteit Antwerpen
Counting trees in Random Forests Universiteit Antwerpen
The CEGS N-GRID 2016 Shared Task (Filannino et al., 2017) in Clinical Natural Language Processing introduces the assignment of a severity score to a psychiatric symptom, based on a psychiatric intake report. We present a method that employs the inherent interview-like structure of the report to extract relevant information from the report and generate a representation. The representation consists of a restricted set of psychiatric concepts (and ...