Section: Scientific Foundations
The role of empirical methods (model learning, data extraction from corpora, evaluation) has greatly increased in importance in both linguistics and computer science over the last fifteen years. LED has been working for many years on the creation, management and dissemination of linguistic resources reusable by the scientific community, both in the context of implementation of data servers, and in the definition of standardised representation formats like TAG-ML. In addition, it has been worked on the applications of linguistic ideas in multimodal settings and multimedia.
The work in this area is in concordance with our scientific projects. As we said above, one of the most important points that needs to be understood about logical inference is how its use can be minimised and intelligently guided. Ultimately, such minimisation and guidance must be based on empirical observations concerning the kinds of problems that arise repeatedly in natural language applications.