Textual data remain the most interesting source of information in the web. In the authors'
research, they focus on a very specific kind of information namely “complex terms”. Indeed …

The log files generated by digital systems can be used in management information systems
as the source of important information on the condition of systems. However, log files are not …

We describe a corpus analysis method to extract terminology from a collection of technical
specifications in the field of construction. Using statistics and word n-grams analysis, we …

This article presents a complete process to extract hypernym relationships in the field of
construction using two main steps: terminology extraction and detection of hypernyms from …

This paper presents an experimental study for extracting a terminology from a corpus made
of Curriculum Vitae (CV). This terminology is to be used for ontology acquisition. The choice …

In this paper, we describe a text-mining system used to extract archaeological knowledge
from specialized texts. Our approach relies on two basic principals. First, we use user …

In the statistical terminology field, the collocations extraction from specialized textual corpus
is done by computing the joint frequency of a given pair of words inside a sliding window of …

Les mots constituent l'un des fondements des langues naturelles de type indo-européenne.
Des corpus rédigés avec ces langues sont alors naturellement décrits avec des mots …

This paper presents a text-mining approach in order to extract candidate terms from a
corpus. The relevant candidates are selected using a web-mining approach. The terms (ie …

The text-mining system we are building deals with the specific problem of identifying the
instances of relevant concepts present in the texts. Our system relies therefore on …