Mokhtar Billami

Image vedette de la tâche 8 de SemEval

Retour sur la tâche n°8 de la 16ème édition de SemEval

Find about our work on SemEval task n°1: reverse dictionary SemEval is a series of international Natural Language Processing (NLP) research workshops whose mission is to advance the current state of the art in semantic analysis and to help create high-quality annotated datasets in a range of increasingly challenging problems in natural language semantics. Each […]

Retour sur la tâche n°8 de la 16ème édition de SemEval Lire la suite »

Illustration de la classification NLP

Classification des requêtes de maintenance avec NLP

When our client equipment needs maintenance intervention for any reason, they can request it through Carl Source, our CMMS software. Those intervention queries will be received by the technical service which will analyze it, pre-qualify it and associate it to an intervention type before scheduling it. Some interventions are more urgent to other and some

Classification des requêtes de maintenance avec NLP Lire la suite »

Illustration de la correspondance des schémas

Médiation sémantique pour l'échange de données

In the current socioeconomic context, companies must work together. Interoperability, which is the action to work together through systems is an unconditional factor to do so. To work, the information shared needs to be compatible. Information can be incompatible when they’re built differently by people or systems.Mediation goal is to manage syntactic and semantic information

Médiation sémantique pour l'échange de données Lire la suite »

Apprenons : Je parle, tu parles, il/elle parle mais la machine le/la comprend-elle ?

We will have the pleasure to listen to the DRI member Mohktar Billami for a presentation as part of Let’s learn, this Thursday, 14 January from 13:15 to 14:00. Abstract: Automatic translators, suggested words for smartphone input, search engines, spell checkers, chatbots, etc. You may not realize it, but you use automatic Natural Language Processing

Apprenons : Je parle, tu parles, il/elle parle mais la machine le/la comprend-elle ? Lire la suite »

DEESSE : Un moteur de recherche générique basé sur l'intelligence artificielle

In Berger-Levrault, several of our software products incorporate a search engine in themselves to facilitate access to information. This information can be encoded in files having various and varied formats. For example, Word, PDF, CSV, JSON or even XML files. Current search engines such as Lucene focus most of the time on keyword searches. This

DEESSE : Un moteur de recherche générique basé sur l'intelligence artificielle Lire la suite »

Quand l'IA génère des plans de formation en ressources humaines !

Berger-Levrault works in collaboration with the Cusma association and the innovation commission to exchange experiences and advice on innovation applications. Among the projects, we started working on a supervised automatic classification of training requests.This project aims to assist administrative officers using artificial intelligence and robots to classify and prioritize training requests coming from agents. We

Quand l'IA génère des plans de formation en ressources humaines ! Lire la suite »

Construction d'une base de connaissances ontologiques à partir de la base de données éditoriale Berger Levrault

Context Ontologies are widely used in information retrieval (IR), Questions/Answers, and decision support systems, and have gained recognition as they are now being considered the new answer to semantic interoperability in modern computer systems and the next big solution for knowledge representation. The structuring and management of knowledge are at the heart of the concerns

Construction d'une base de connaissances ontologiques à partir de la base de données éditoriale Berger Levrault Lire la suite »

dublin, trinity college, bibliothèque

La connaissance au bout des doigts : Construire une base de connaissances ontologiques à partir de notre base de données éditoriale

Our times are increasingly influenced by the prevalence of large volumes of data. These data most often hide great human intelligence. This intrinsic knowledge; whatever the field; would allow our information systems to be much more efficient in the processing and interpretation of structured and unstructured data. For example, the process of finding relevant documents

La connaissance au bout des doigts : Construire une base de connaissances ontologiques à partir de notre base de données éditoriale Lire la suite »

Automatiser la détection des doublons dans nos bases de données

Today’s complex applications for knowledge extraction and data mining use heterogeneous and distributed data. In this context, the quality of any decision depends on the quality of the data used. In fact, with the lack of accurate and reliable data, bad decisions can be made. In order to provide a better understanding of the source

Automatiser la détection des doublons dans nos bases de données Lire la suite »

Retour en haut