Lingua et Machina (France)

When a fast kinetic natural disaster occurs, it is crucial that crisis managers quickly understand the extent of the situation, especially through the development of "big picture" maps. For many years, great efforts have been made to use social networks to help build this situational awareness. While there are many models for automatically extracting information from posts, the difficulty remains in detecting and geolocating this information on the fly so that it can be placed on maps. Whilst most of the work carried out to date on this subject has been based on data in English, we tackle the problem of detecting and geolocating natural disasters from French messages posted on the Twitter platform (now renamed "X"). To this end, we first build an appropriate dataset comprised of documents from the French Wikipedia corpus, the dataset from the CAp 2017 challenge, and a homemade annotated Twitter dataset extracted during French natural disasters. We then developed an Entity-Linking pipeline in adequacy with our end-application use case: real-time prediction and peak resiliency. We show that despite these two additional constraints, our system's performances are on par with state-of-the-art systems. Moreover, the entities geolocated by our model show a strong coherence with the spatiotemporal signature of the natural disasters considered, which suggests that it could usefully contribute to automatic social network analysis for crisis managers.

The present paper reports experimental work on the automatic detection of nutritional incompatibilities of cooking recipes based on their titles. Such incompatibilities viewed as medical or cultural issues became a major concern in western societies. The gastronomy language represents an important challenge because of its elusiveness, its metaphors, and sometimes its catchy style. The recipe title processing brings together the analysis of short and domain-specific texts. We tackle these issues by building our algorithm on the basis of a common knowledge lexical semantic network. The experiment is reproducible. It uses freely available resources.

The objective of this article is to present part of the results of research done in the scientific initiation project: "A study of genres in the section Folha 2 from Folha de Londrina: first stage of the external didactic transposition." This project is linked to the research project "Genres of the journalistic media as objects of external didactic transposition", under the coordination of professor Eliana Merlin Deganutti de Barros. The theoretical foundation that guides the research is the studies of Sociodiscursive Interactionism (SI). Our focus is to present the genres that compose the section Folha 2 from Folha de Londrina and some journalistic specificities. Our premise is that the newspaper is an important support for literacy in schools, since it presents a genre diversity that can motivate the learning of Portuguese language..

This paper defines a method for lexicon in the biomedical domain from comparable corpora. The method is based on compositional translation and exploits morpheme-level translation equivalences. It can generate translations for a large variety of morphologically constructed words and can also generate 'fertile' translations. We show that fertile translations increase the overall quality of the extracted lexicon for English to French translation.

The transfer of part of or an entire value chain to a low-cost site—a practice known as offshoring—has expanded across various countries in the world. Initially, companies began outsourcing their services to developing countries solely to reduce costs, but today, they also continue this practice in order to have access to a qualified workforce. The goal of this study is to identify Brazil’s potential as a service provider for other countries. To this end, a comparison was established between the characteristics of Brazil and India, taking into consideration the drivers that transformed the latter into today’s primary offshoring nerve center. It was verified that despite worldwide acknowledgement of the creative and professional capability of Brazilians, the percentage of fluent English-speaking people is insufficient to allow for the expansion of call centers, back-office services and other kinds of offshoring in Brazil. Key-words: Offshoring, outsourcing, comparative study, Brazil, India.