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.
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Journal Article
Clash of the typings: finding controversies and children’s topics within queries
TL;DR: The TadPolemic system as mentioned in this paper identifies whether web search queries are controversial in nature and/or pertain to children's topics, and it is incorporated into a children's web search engine to assist children's search during difficult topics.
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ECIR 2017 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2017)
Saptarshi Ghosh,Kripabandhu Ghosh,Debasis Ganguly,Tanmoy Chakraborty,Gareth J. F. Jones,Marie-Francine Moens +5 more
TL;DR: An overview of the workshop is presented, including the motivations behind organizing the workshop, and summaries of the research papers and keynote talks at the workshop are presented, to reflect on the future directions as inferred from discussion sessions during the workshop.
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Justifying diagnosis decisions by deep neural networks
TL;DR: An integrated approach is proposed across visual and textual data to both determine and justify a medical diagnosis by a neural network and achieves excellent diagnosis accuracy and captioning quality when compared to current state-of-the-art single-task methods.
Proceedings ArticleDOI
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract).
TL;DR: This article presents a comprehensive survey of the research from the past decades on temporal reasoning for automatic temporal information extraction from text, providing a case study on the integration of symbolic reasoning with machine learning-based information extraction systems.