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 […]
Back on SemEval 16th edition task n°8 Read More »
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
Maintenance queries classification with NLP Read More »
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
Semantic Mediation for Data Exchange Read More »
As part of the LIRMM (Montpellier Computer Science, Robotics and Microelectronics Laboratory) day, on Thursday 18 March 2021, Berger-Levrault will participate in the second event of the Festival OccitanIA organized by the University of Montpellier and the MEDEF (Mouvement des Entreprises de France). This event will take the form of an IA/TAL Webinar from 10
Exploit the intelligence of your documents Read More »
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
Let’s learn: I speak, you speak, he/she speaks but does the machine understand him/her? Read More »
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: A Generic Search Engine based on Artificial Intelligence Read More »
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
When AI generates Human Resources training plans! Read More »
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
Building an Ontological Knowledge Base from Berger Levrault Editorial database Read More »
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
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
Automating the Detection of Duplicates in our Databases Read More »
