activity
20192023
most citedExplainability in Music Recommender Systems

71 citations · 76 across the 7 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2023★ 1 cited

Automatic Annotation of Direct Speech in Written French Narratives

Noé Durandard, Viet-Anh Tran, Gaspard Michel +1

The automatic annotation of direct speech (AADS) in written text has been often used in computational narrative understanding. Methods based on either rules or deep neural networks…

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…