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Communication Dans Un Congrès Année : 2018

Exploring a corpus annotated in causal discourse relations for the study of causal lexical clues

Résumé

Introduction : Usually, the study of Discourse Relations (DRs) is based on Lexical Clues (LCs) commonly associated with these DRs, like connectives. For example, a corpus study of causal DRs can be done from the analysis of some connectives commonly associated with causality, like because. Such a semasiological approach, that proceeds from a given LC towards DRs, has a significant advantage: it is much easier to locate LCs than DRs in a corpus. The approach presented here complementarily exploits two types of analysis. We first adopt an onomasiological approach, that proceeds from a given DR towards LCs. In other words, we analyze all the occurrences of this DR in a corpus in order to identify all the LCs that contribute to the DR interpretation. Then, the results of these first analyses are completed by a semasiological analysis: each LC that has been identified is projected on the corpus in order to determine whether it specifically marks the given DR or not.
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Dates et versions

hal-02982984 , version 1 (03-11-2020)

Identifiants

  • HAL Id : hal-02982984 , version 1

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Caroline Atallah, Myriam Bras, Laure Vieu. Exploring a corpus annotated in causal discourse relations for the study of causal lexical clues. Final Action Conference TextLink 2018 : Cross-Linguistic Discourse Annotation: applications and perspectives, Lydia-Mai Ho-Dac (University of Toulouse, CLLE-ERSS); Philippe Muller (University of Toulouse, IRIT), Mar 2018, Toulouse, France. ⟨hal-02982984⟩
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