183 citations
- Institut LangevinFR33 papers
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6 papers · 2 filters
HYBRINFOX at CheckThat! 2024 -- Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection
Morgane Casanova, Julien Chanson, Benjamin Icard +4
This paper presents the HYBRINFOX method used to solve Task 2 of Subjectivity detection of the CLEF 2024 CheckThat! competition. The specificity of the method is to use a hybrid sy…
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Louis Abraham, Charles Arnal, Antoine Marie
Large Language Models have recently been applied to text annotation tasks from social sciences, equalling or surpassing the performance of human workers at a fraction of the cost.…
Towards Transparency: Exploring LLM Trainings Datasets through Visual Topic Modeling and Semantic Frame
Charles de Dampierre, Andrei Mogoutov, Nicolas Baumard
LLMs are now responsible for making many decisions on behalf of humans: from answering questions to classifying things, they have become an important part of everyday life. While c…
A Multi-Label Dataset of French Fake News: Human and Machine Insights
Benjamin Icard, François Maine, Morgane Casanova +6
We present a corpus of 100 documents, OBSINFOX, selected from 17 sources of French press considered unreliable by expert agencies, annotated using 11 labels by 8 annotators. By col…
Explaining vague language
Paul Égré, Benjamin Spector
Why is language vague? Vagueness may be explained and rationalized if it can be shown that vague language is more useful to speaker and hearer than precise language. In a well-know…
Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification
Géraud Faye, Benjamin Icard, Morgane Casanova +6
This paper investigates the language of propaganda and its stylistic features. It presents the PPN dataset, standing for Propagandist Pseudo-News, a multisource, multilingual, mult…