Named entity recognition (NER) is a necessary step in many pipelines targeting historical
documents. Indeed, such natural language processing techniques identify which class each …

A great deal of research on information extraction from textual datasets has been performed
in specific data contexts, such as movie reviews, commercial product evaluations, campaign …

In this paper, we focus on methods for extracting spatial information in text documents. After
presenting textual description of space and manual annotation of named entities, mainly …

With the amount of textual data available on the web, new methodologies of knowledge
extraction domain are provided. Some original methods allow the users to combine different …

When extracting structured data from repetitively organized documents, such as dictionaries,
directories, or even newspapers, a key challenge is to correctly segment what constitutes the …

Abstract Knowledge discovery from texts, particularly the identification of spatial information
is a difficult task due to the complexity of texts written in natural language. Here we propose …

Favorisés par la montée en puissance d'Internet et les possibilités nouvelles de diffusion de
données, le nombre et le volume des corpus numériques sont toujours plus importants et la …

The TERRE-ISTEX project aims to identify scientific research dealing with specific
geographical territories areas based on heterogeneous digital content available in scientific …

A l'heure où de plus en plus de corpus et de données sont accessibles, le travail initié s'
interroge sur l'exploitation de données linguistiques dans un corpus d'oral à dimension …

Les annuaires professionnels anciens, édités à un rythme soutenu dans de nombreuses
villes européennes tout au long des XIX e et XX e siècles, forment un corpus de sources …