Mokhtar Billami

Imagen destacada de SemEval Task 8

De vuelta a la 16ª edición de SemEval, tarea nº 8

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 […]

De vuelta a la 16ª edición de SemEval, tarea nº 8 Leer más »

Ilustración de la clasificación PNL

Clasificación de consultas de mantenimiento con PNL

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

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Ilustración de la coincidencia de esquemas

Mediación semántica para el intercambio de datos

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

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Aprendamos: Yo hablo, tú hablas, él/ella habla pero ¿la máquina le entiende?

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

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DEESSE: un motor de búsqueda genérico basado en la inteligencia artificial

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

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Cuando la IA genera planes de formación de Recursos Humanos

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

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Construcción de una base de conocimientos ontológicos a partir de la base de datos de Berger Levrault Editorial

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

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dublín, trinity college, biblioteca

El conocimiento al alcance de la mano: Construir una base de conocimiento ontológico a partir de nuestra base de datos editorial

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

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Automatización de la detección de duplicados en nuestras bases de datos

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

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