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Featurize words into orthographic and phonological vectors.
Machine reading comprehension on clinical case reports
A command and control corpus for the Patience card game (Dutch)
A fast simulator for localist connectionist models.
Negation detection of concepts in Dutch clinical text
Segment CNNs for clinical relation extraction with additional features
Simulating cochlear implants with neural networks
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
UMLS in Python with MongoDB.
Python code for reading Brat Repositories. Supports saving and reading from XML files for easy acces to annotations.
The code for the conll2018 submission: "from strings to other things: linking the neighborhood and transposition effects in word reading."
Code for the paper "Rule induction for global explanation of trained models"
Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.
Google Summer of Code 2018
CLiPS submission for the 'Discriminating between Dutch and Flemish in Subtitles' (DFS) subtask at VarDial
Fake news detection, Google Summer of Code 2017
Software created within Accumulate project (www.accumulate.be) at CLiPS, University of Antwerp
Disambiguating biomedical and clinical concepts with word embeddings
Unsupervised concept extraction from clinical text
Repository for the CLiPS HAte speech DEtection System [HADES].
Python 2 & 3 wrapper around the Stanford Topic Modeling Toolbox. Intended to be used for hassle-free supervised topic classification with Labeled Latent Dirichlet Allocation (L-LDA, LLDA, sLDA).
Clinical spelling correction with word and character n-gram embeddings.
Creates LaTeX source from semantic role annotations
Memory-based shallow parser for Python