Université de Montréal - Thèse sous forme numérique

151Contrary to the FrameNet approach according to which frames are defined prior tolexical analysis, in DiCoInfo, lexicographers notice these phenomena and generalizesemantic role labels while writing lexical entries. Like the Kicktionary, the methodologyapplied in the compilation is bottom-up and combines automatic and manual analyses. As itwill be clear from section 4.3.8, the methodology and the annotation model used in ourresearch borrows elements from DiCoInfo‘s in addition to FrameNet.3.3. Choice of the theoretical modelIn this chapter we presented the theoretical model of Frame Semantics (Fillmore 1976,1977, 1982, 1985; Fillmore and Atkins 1992) as well as its applications to the compilationof general and specialized lexical resources. At this point, it is necessary to justify thechoice of Frame Semantics as the theoretical model to be used in the present research.Based on the literature reviewed, we believe that there are three main arguments for usingFrame Semantics as well as the FrameNet methodology to assign the equivalents ofspecialized verbs and establish validation criteria for them.Firstly, Frame Semantics seems particularly well suited to study verbs because theyare ―frame-evoking‖ or ―frame-bearing‖ words par excellence. Since frames can providethe organizing background for a set of words, it follows that a frame-based description ofverbs should be able to provide an organizing background for the study of verbs. Verbs arealso easier to describe and annotate. In the FrameNet methodology, a complete descriptionof verbs requires a description of the clauses in which they occur, whereas a completedescription of nouns potentially involves more layers, such as the noun‘s complements, theinternal structure of the NP in which the noun occurs, and the larger structures in which theNP functions. In fact, this is the reason why the FrameNet project started up with thedescription of verbs. What is more, Baker (2009: 46) has argued that: ―[...] FrameNet seraitutile pour reconnaître des événements exprimés par des verbes dans des domaines