https://crazyjeannot.github.io/
Big thanks to @oseminck.bsky.social @tpoibeau.bsky.social & Antoine Bourgois ❤️
📂 Data + code → github.com/lattice-8094/DETECTIVES
Big thanks to @oseminck.bsky.social @tpoibeau.bsky.social & Antoine Bourgois ❤️
📂 Data + code → github.com/lattice-8094/DETECTIVES
This data-driven chronology challenges Anglophone genre models and reveals a distinct French trajectory
This data-driven chronology challenges Anglophone genre models and reveals a distinct French trajectory
So we model its Semantic Trajectory : from a cold, rational reasoner to an intuitive, emotionally engaged figure.
💻 Interactive viz → crazyjeannot.github.io/pdfs/detecti...
So we model its Semantic Trajectory : from a cold, rational reasoner to an intuitive, emotionally engaged figure.
💻 Interactive viz → crazyjeannot.github.io/pdfs/detecti...
Our model predicts not only a growing ratio of detective characters but also a rise in the proportion of text devoted to them.
Our model predicts not only a growing ratio of detective characters but also a rise in the proportion of text devoted to them.
We then generalize this detection to a corpus of ~3 000 novels & 2 centuries.
We then generalize this detection to a corpus of ~3 000 novels & 2 centuries.
We used
• character/Coref resolution from the Propp-fr pipeline (child of BookNLP-fr)
• Contextual embeddings of character attributes using CamemBERT
We used
• character/Coref resolution from the Propp-fr pipeline (child of BookNLP-fr)
• Contextual embeddings of character attributes using CamemBERT
First, we mapped the passé simple’s co-movement over 200 years 🔄, revealing a clear split between past tenses (imparfait, plus-que-parfait) and present tenses (présent, futur, passé composé)
First, we mapped the passé simple’s co-movement over 200 years 🔄, revealing a clear split between past tenses (imparfait, plus-que-parfait) and present tenses (présent, futur, passé composé)