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
A survey on question answering technology from an information retrieval perspective
TL;DR: This article provides a comprehensive and comparative overview of question answering technology and suggests a general question answering architecture that steadily increases the complexity of the representation level of questions and information objects.
Journal ArticleDOI
A survey on the application of recurrent neural networks to statistical language modeling
TL;DR: This paper presents a survey on the application of recurrent neural networks to the task of statistical language modeling, and gives an overview of the most important extensions.
Proceedings Article
Automatic Sentiment Analysis in On-line Text
TL;DR: An overview of various techniques used to tackle the problems in the domain of sentiment analysis are given, and some of their own results are added.
Journal ArticleDOI
Computational personality recognition in social media
Golnoosh Farnadi,Geetha Sitaraman,Shanu Sushmita,Fabio Celli,Michal Kosinski,David Stillwell,Sergio Davalos,Marie-Francine Moens,Martine De Cock +8 more
TL;DR: A comparative analysis of state-of-the-art computational personality recognition methods on a varied set of social media ground truth data from Facebook, Twitter and YouTube is performed.
Book
Information Extraction: Algorithms and Prospects in a Retrieval Context
TL;DR: The book elaborates on the past and current most successful algorithms and their application in a variety of domains and reveals a number of ideas towards an advanced understanding and synthesis of textual content.