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From the 1 of 13 linked papers with an AI index.

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13 papers

cs.CL2026

Fast and Accurate Quotation Attribution in Literary Texts

Gaspard Michel, Hugo Attali, Elena V. Epure

Attributing quotations to their speakers in literary texts remains an open challenge. Standard methods, which independently predict a speaker mention for each quotation, are effici…

cs.IR2026

LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation

Seungheon Doh, Bruno Sguerra, Sergio Oramas +2

The paper investigates the reliability of using large language models as judges to evaluate the quality of responses generated by conversational music recommendation systems, compa…

cs.CL2026

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

Gaspard Michel, Elena V. Epure, Romain Hennequin +2

Methods to represent literary texts as graphs or sequences of graphs mainly focus on representing character interactions, and often overlook another crucial aspect: the textual con…

eess.AS2026

Computational Narrative Understanding for Expressive Text-to-Speech

Gaspard Michel, Elena V. Epure, Christophe Cerisara

Recent advances in text-to-speech (TTS) have been driven by large, multi-domain speech corpora, yet the expressive potential of audiobook data remains underexamined. We argue that…

cs.CL2026

S-VoCAL: A Dataset and Evaluation Framework for Inferring Speaking Voice Character Attributes in Literature

Abigail Berthe-Pardo, Gaspard Michel, Elena V. Epure +1

With recent advances in Text-to-Speech (TTS) systems, synthetic audiobook narration has seen increased interest, reaching unprecedented levels of naturalness. However, larger gaps…

cs.SD2026

Beyond Musical Descriptors: Extracting Preference-Bearing Intent in Music Queries

Marion Baranes, Romain Hennequin, Elena V. Epure

Although annotated music descriptor datasets for user queries are increasingly common, few consider the user's intent behind these descriptors, which is essential for effectively m…