Université de Montréal - Thèse sous forme numérique

153Also, in an article entitled ―Frame Semantics for Text Understanding‖ Fillmore andBaker (2001) use the example of legal discourse to illustrate how knowledge can berepresented using Frame Semantics. They select the terminology that occurs frequently in anewspaper article on criminal justice procedures and analyze the frames evoked by theterminology. They conclude that 16 frames are needed to understand the criminalproceedings described in the news story. From the 16 frames, only 2 are high-level, abstractframes ([Action] and [Event]), while the others are domain-specific ([Court], [CriminalProcess], [Arraignment], [Pre-trial Confinement], [Court-date-setting], etc.).Another reason why Frame Semantics seems particularly well suited to studyterminology lies in the fact that its applicability to specialized fields has already beentested. While it is true that the way Frame Semantics is applied in each of the researchprojects mentioned in section 3.2.2 may vary considerably, the results that have beenreported indicate that the theoretical model is suited to cover different specialized subjectfields, to meet different objectives and to build different kinds of resources. The projectsthat we mentioned that cover the subject fields of biomedicine and the law explore the NLPpotential of the FrameNet methodology, whereas the projects that cover the subject fields ofsoccer and computing demonstrate its applicability to the elaboration of multilingualspecialized lexical resources. Finally, the EcoLexicon project makes use of the twoapproaches so as to build a multilingual visual thesaurus.This leads us to our last argument. Frame Semantics seems particularly well suitedto the construction of monolingual lexical resources as well as multilingual lexicalresources. Since frames are considered to be language independent to a fair degree, Boas(2005) and Baker (2009) argue that the FrameNet model can be used to build lexicalresources in any language, namely by exporting FrameNet to create multilingual resourcesbecause the content of the database is reusable. Boas (2005), for instance, presents anapproach to construct multilingual lexical databases using Frame Semantics, which consists