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Gaspard Michel

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Preprint Aug 2026

Fast and Accurate Quotation Attribution in Literary Texts

An encoder-based efficient formulation that resolves multiple quotation attributions within a shared, large context window is proposed, and an analysis of models'representations suggests that joint scoring improves on challenging attribution examples by preserving long-range anaphora resolution signal, an information t...

Gaspard Michel, Hugo Attali, Elena V. Epure · 0 citations

GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study

Dynamic Heterogeneous Character Networks are introduced, which organize long novels into temporally localized heterogeneous graphs that align characters with their textual contexts, and GraphLit is proposed, a self-supervised learning framework that learns rich literary representations through a masked graph autoencode...

Gaspard Michel, Elena V. Epure, Romain Hennequin et al. · 1 citation

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