2019
DOI: 10.4000/discours.10256
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Recherche d’indices lexicosyntaxiques de segmentation et de liage par une analyse automatique de corpus

Abstract: Cette étude emploie une technique automatique d'analyse de corpus pour tenter d'apporter un point de vue complémentaire à celui d'études plus qualitatives des indices de segmentation et de liage, tels que les expressions adverbiales, les connecteurs et les anaphores. L'étude vise tout particulièrement à déterminer s'il est possible de distinguer automatiquement dans des textes les phrases en situation de rupture de celles en situation de continuité et d'identifier les indices qui le permettent. L'identificatio… Show more

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Cited by 3 publications
(2 citation statements)
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“…Two primary methodologies can be used to build and deploy a likelihood and negative sampling in the skip-gram neural network model (NEG). The suggested model uses the likelihood approach, and its mathematical representation can be found in [14][15][16][17][18][19][20][21][22][23][24][25].…”
Section: Feature Extractionmentioning
confidence: 99%
See 1 more Smart Citation
“…Two primary methodologies can be used to build and deploy a likelihood and negative sampling in the skip-gram neural network model (NEG). The suggested model uses the likelihood approach, and its mathematical representation can be found in [14][15][16][17][18][19][20][21][22][23][24][25].…”
Section: Feature Extractionmentioning
confidence: 99%
“…To simplify the process of finding derivatives and turning this equation into a minimisation problem, all we need to do is take the log of the equation and multiply it by −1. This will allow us to calculate the negative log-likelihood in Equation (15). Since we have included the logarithm in the equation, it is time to switch from multiplication to addition in Equation (16).…”
Section: Feature Extractionmentioning
confidence: 99%