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Stratégie domaine par domaine pour la création d'un FrameNet du français : annotations en corpus de cadres et rôles sémantiques

Abstract : This thesis describes the creation of the French FrameNet (FFN), a French language FrameNet type resource made using both the Berkeley FrameNet (Baker et al., 1998) and two morphosyntactic treebanks: the French Treebank (Abeillé et al., 2003) and the Sequoia Treebank (Candito et Seddah, 2012). The Berkeley FrameNet allows for semantic annotation of prototypical situations and their participants. It consists of:a) a structured set of prototypical situations, called frames. These frames incorporate semantic characterizations of the situations’ participants (Frame Elements, or FEs);b) a lexicon of lexical units (LUs) which can evoke those frames;c) a set of English language frame annotations.In order to create the FFN, we designed a “domain by domain” methodology: we defined four “domains”, each centered on a specific notion (cause, verbal communication, cognitive stance, or commercial transaction). We then sought to obtain full frame and lexical coverage for these domains, and annotated the first 100 corpus occurrences of each LU in our domains. This strategy guarantees a greater consistency in terms of frame structuring than other approaches and is conducive to work on both intra-domain and inter-domains frame polysemy. Our annotating frames on continuous text without selecting particular LU occurrences preserves the natural distribution of lexical and syntactic characteristics of frame-evoking elements in our corpus. At the present time, the FFNincludes 105 distinct frames and 873 distinct LUs, which combine into 1,109 LU-frame pairs (i.e. 1,109 senses). 16,167 frame occurrences, as well as their FEs, have been annotated in our corpus.In this thesis, I first situate the FrameNet model in a larger theoretical background. I then justify our using the Berkeley FrameNet as our resource base and explain why we used a domain-by- domain methodology. I next try to clarify some specific BFN notions that we found too vague to be coherently used to make the FFN. Specifically, I introduce more directly syntactic criteria both for defining a frame’s lexical perimeter and for differentiating core FEs from non-core ones.Then, I describe the FFN creation itself first by delimitating a structure of frames that will be used in the resource and by creating a lexicon for these frames. I then introduce in detail the Cognitive Stances notional domain, which includes frames having to do with a cognizer’s degree of certainty about some particular content. Next, I describe our methodology for annotating a corpus with frames and FEs, and analyze our treatment of several specific linguistic phenomena that required additional consideration (such as object complement constructions).Finally, I give quantified information about the current status of the FFN and its evaluation. I conclude with some perspectives on improving and exploiting the FFN.
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Marianne Djemaa. Stratégie domaine par domaine pour la création d'un FrameNet du français : annotations en corpus de cadres et rôles sémantiques. Linguistique. Université Sorbonne Paris Cité, 2017. Français. ⟨NNT : 2017USPCC007⟩. ⟨tel-01661689⟩

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