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26 octobre 2023
- handle: 10670/1.mz32iy
- hal: hal-04363822
- ARXIV: 2309.06132
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info:eu-repo/semantics/altIdentifier/arxiv/2309.06132
Mots-clés
Computation and Language (cs.CL) Artificial Intelligence (cs.AI) FOS: Computer and information sciences 68T07 68T50Sujets proches
Language (New words, slang, etc.) Subjectivism Natural science Sciences Science of science Measuring MensurationCiter ce document
Benjamin Icard et al., « Measuring vagueness and subjectivity in texts: from symbolic to neural VAGO », HAL-SHS : linguistique, ID : 10670/1.mz32iy
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Résumé
We present a hybrid approach to the automated measurement of vagueness and subjectivity in texts. We first introduce the expert system VAGO, we illustrate it on a small benchmark of fact vs. opinion sentences, and then test it on the larger French press corpus FreSaDa to confirm the higher prevalence of subjective markers in satirical vs. regular texts. We then build a neural clone of VAGO, based on a BERT-like architecture, trained on the symbolic VAGO scores obtained on FreSaDa. Using explainability tools (LIME), we show the interest of this neural version for the enrichment of the lexicons of the symbolic version, and for the production of versions in other languages.