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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The downside of markup: examining the harmful effects of CSS and javascript on indexing today's web
TL;DR: The general finding of the study is that continuing to index the web via simple HTML parsing will diminish the effectiveness of retrieval on the modern web, and that the IR community should work toward more sophisticated web page processing in indexing technology.
Posted Content
Deep Embedding for Spatial Role Labeling.
TL;DR: The visually informed embedding of word (VIEW), a continuous vector representation for a word extracted from a deep neural model trained using the Microsoft COCO data set to forecast the spatial arrangements between visual objects, given a textual description is introduced.
Posted Content
Are scene graphs good enough to improve Image Captioning
TL;DR: Overall, there is no significant difference between models that use scene graph features and models that only use object detection features across different captioning metrics, which suggests that existing scene graph generation models are still too noisy to be useful in image captioning.
How well do your Facebook status updates express your personality
TL;DR: This study contributes to this effort by exploring the use of machine learning techniques to automatically infer users’ personality traits based on their Facebook status updates.
Proceedings Article
Clash of the typings: finding controversies and children's topics within queries
TL;DR: The TadPolemic system as discussed by the authors 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.