Mohamed Ben Haddou

 Co-founder and Chief Executive Officer of Mentis. He brings more than 15 years of experience in R&D and Business Development. After spending more than 6 years of Research in Artificial Intelligence inside IRIDIA ( Artificial Intelligence laboratory of ULB) he joined the company Mars. He participated in developing efficient ways of analyzing large databases of media-data. in 2005 He then founded Mentis. He holds a Master Degree in Theoretical Physics and PhD in Artificial Intelligence (AI) from the Université Libre de Bruxelles (ULB).

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Convolutional neural networks for NLP applications: 2- Information Extraction

Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured documents. In most of the cases this activity concerns processing human language texts by means of natural language processing (NLP). IE is a general category which has various sub-categories, such as entity extraction, event extraction, relation extraction, coreference resolution, and entity linking to name a…

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Convolutional Neural network for text classification.

Why NLP is difficult? Text classification is complex, much more complex than image classification for example. The reason, is that nearly all what you need to classify an image is in the image itself. there is no need for an external supposed knowledge. While in text this is not the case. Generally language always refers…

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Next Generation Intelligent Virtual AssistantsTechnology

The 3 levels of Intelligent Virtual Assistants

In this series of blog posts, I’ll be exploring the Intelligent Virtual Assistant (IVA) trends and analyzing it from the technological point of view. I‘ll be thinking about what needs to be done and how to achieve this next level of IVAs. To understand what I mean by next level IVA, I will first define…

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