activity
20182026
most citedExplainability in Music Recommender Systems

71 citations · 294 across the 49 of their papers we have counts for

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8 papers · 1 filter

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…

cs.CL2024

Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3

Gaspard Michel, Elena V. Epure, Romain Hennequin +1

Large Language Models (LLMs) have shown promising results in a variety of literary tasks, often using complex memorized details of narration and fictional characters. In this work,…

cs.CL2024★ 2 cited

Improving Quotation Attribution with Fictional Character Embeddings

Gaspard Michel, Elena V. Epure, Romain Hennequin +1

Humans naturally attribute utterances of direct speech to their speaker in literary works. When attributing quotes, we process contextual information but also access mental represe…

cs.CL2024

Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution

Gaspard Michel, Elena V. Epure, Romain Hennequin +1

Recent approaches to automatically detect the speaker of an utterance of direct speech often disregard general information about characters in favor of local information found in t…

cs.CL2023★ 2 cited

A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries

Elena V. Epure, Romain Hennequin

We conducted a human subject study of named entity recognition on a noisy corpus of conversational music recommendation queries, with many irregular and novel named entities. We ev…

cs.CL2021

Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition

Elena V. Epure, Romain Hennequin

Despite impressive results of language models for named entity recognition (NER), their generalization to varied textual genres, a growing entity type set, and new entities remains…

cs.CL2020

Modeling the Music Genre Perception across Language-Bound Cultures

Elena V. Epure, Guillaume Salha, Manuel Moussallam +1

The music genre perception expressed through human annotations of artists or albums varies significantly across language-bound cultures. These variations cannot be modeled as mere…

cs.CL2020★ 1 cited

Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation

Elena V. Epure, Guillaume Salha, Romain Hennequin

Annotating music items with music genres is crucial for music recommendation and information retrieval, yet challenging given that music genres are subjective concepts. Recently, i…