M
Marie-Francine Moens
Researcher at Katholieke Universiteit Leuven
Publications - 410
Citations - 8987
Marie-Francine Moens is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Information extraction & Language model. The author has an hindex of 45, co-authored 393 publications receiving 7779 citations. Previous affiliations of Marie-Francine Moens include Brandeis University & University of Copenhagen Faculty of Science.
Papers
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Journal ArticleDOI
Legislative Databases: Current Problems and Possible Solutions
Book ChapterDOI
Comparing Document Classification Schemes Using K-Means Clustering
TL;DR: This work jointly applies several text mining methods to a corpus of legal documents to compare the separation quality of two inherently different document classification schemes and presents the idea of combining K-means and Principal Component Analysis for cluster visualization.
Posted Content
Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction
TL;DR: This study constructs the first neural network model for Dutch demonstrative and relative pronoun resolution that specifically focuses on the correction and part-of-speech prediction of these two pronouns.
Proceedings Article
Forecasting potential diabetes complications
TL;DR: A novel probabilistic model called Sparse Factor Graph Model (SparseFGM), which projects sparse features onto a lower-dimensional latent space, which alleviates the problem of sparseness and is able to capture the associations between complications and lab tests.
Proceedings ArticleDOI
Topic Modeling using Variational Auto-Encoders with Gumbel-Softmax and Logistic-Normal Mixture Distributions
TL;DR: Two new text topic models based on the categorical distribution Gumbel-Softmax (GSDTM) and on mixtures of Logistic-Normal distributions (LMDTM) are proposed, and it is shown that GSDTM largely outperforms previous state-of-the-art baselines when considering three different evaluation metrics.