Elena V. Epure

According to our database, Elena V. Epure authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation.

Elena V. Epure, Gabriel Meseguer-Brocal, Darius Afchar, Romain Hennequin

CoRR, 2024

Detecting Synthetic Lyrics with Few-Shot Inference.

Yanis Labrak, Gabriel Meseguer-Brocal, Elena V. Epure

CoRR, 2024

A Realistic Evaluation of LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3.

Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara

CoRR, 2024

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

Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara

CoRR, 2024

Improving Quotation Attribution with Fictional Character Embeddings.

Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Visualyre: multimodal album art generation for independent musicians.

Gamar Azuaje, Kongmeng Liew, Elena V. Epure, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki

Pers. Ubiquitous Comput., October, 2023

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

Elena V. Epure, Romain Hennequin

CoRR, 2023

Pauzee : Prédiction des pauses dans la lecture d'un texte.

Marion Baranes, Karl Hayek, Romain Hennequin, Elena V. Epure

Proceedings of the Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2023 - Volume 1 : travaux de recherche originaux, 2023

A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries.

Elena V. Epure, Romain Hennequin

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Automatic Annotation of Direct Speech in Written French Narratives.

Noé Durandard, Viet-Anh Tran, Gaspard Michel, Elena V. Epure

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Explainability in Music Recommender Systems.

Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam

AI Mag., 2022

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

Elena V. Epure, Romain Hennequin

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Network Analyses for Cross-Cultural Music Popularity.

Kongmeng Liew, Vipul Mishra, Yangyang Zhou, Elena V. Epure, Romain Hennequin, Shoko Wakamiya, Eiji Aramaki

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts.

Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge.

Giovanni Gabbolini, Romain Hennequin, Elena V. Epure

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Topic Modeling on Podcast Short-Text Metadata.

Francisco B. Valero, Marion Baranes, Elena V. Epure

Proceedings of the Advances in Information Retrieval, 2022

2021

A Realistic Study of Auto-regressive Language Models for Named Entity Typing and Recognition.

Elena V. Epure, Romain Hennequin

CoRR, 2021

Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques (Modeling the Music Genre Perception across Language-Bound Cultures ).

Elena V. Epure, Guillaume Salha-Galvan, Manuel Moussallam, Romain Hennequin

Proceedings of the Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2021

Visualyre: Multimodal visualization of lyrics.

Gamar Azuaje, Kongmeng Liew, Elena V. Epure, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki

Proceedings of the AM '21: Audio Mostly 2021, 2021

2020

Muzeeglot : annotation multilingue et multi-sources d'entités musicales à partir de représentations de genres musicaux (Muzeeglot : cross-lingual multi-source music item annotation from music genre embeddings).

Elena V. Epure, Guillaume Salha, Félix Voituret, Marion Baranes, Romain Hennequin

Proceedings of the Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 2020

Confidence-based Weighted Loss for Multi-label Classification with Missing Labels.

Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Should we consider the users in contextual music auto-tagging models?.

Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

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

Elena V. Epure, Guillaume Salha, Romain Hennequin

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Audio-Based Auto-Tagging With Contextual Tags for Music.

Karim M. Ibrahim, Jimena Royo-Letelier, Elena V. Epure, Geoffroy Peeters, Gaël Richard

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Modeling the Music Genre Perception across Language-Bound Cultures.

Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Leveraging knowledge bases and parallel annotations for music genre translation.

Elena V. Epure, Anis Khlif, Romain Hennequin

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018

Automatically Modeling Conversations as Processes of Interrelated Speech Intentions. (Modélisation automatique des conversations en tant que processus d'intentions de discours interdépendantes).

Elena Viorica Epure

PhD thesis, 2018

Process models of interrelated speech intentions from online health-related conversations.

Elena V. Epure, Dario Compagno, Camille Salinesi, Rébecca Deneckère, Marko Bajec, Slavko Zitnik

Artif. Intell. Medicine, 2018

2017

Modeling the Dynamics of Online News Reading Interests.

Elena Viorica Epure, Benjamin Kille, Jon Espen Ingvaldsen, Rébecca Deneckère, Camille Salinesi, Sahin Albayrak

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Recommending Personalized News in Short User Sessions.

Elena Viorica Epure, Benjamin Kille, Jon Espen Ingvaldsen, Rébecca Deneckère, Camille Salinesi, Sahin Albayrak

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Automatic analysis of online conversations as processes.

Elena V. Epure, Slavko Zitnik, Dario Compagno, Rébecca Deneckère, Camille Salinesi

Proceedings of the Actes des 13èmes journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, 2017

Analyzing Perceived Intentions of Public Health-Related Communication on Twitter.

Elena Viorica Epure, Rébecca Deneckère, Camille Salinesi

Proceedings of the Artificial Intelligence in Medicine, 2017

2016

Process mining for recommender strategies support in news media.

Elena V. Epure, Jon Espen Ingvaldsen, Rébecca Deneckère, Camille Salinesi

Proceedings of the Tenth IEEE International Conference on Research Challenges in Information Science, 2016

2015

Automatic process model discovery from textual methodologies.

Elena Viorica Epure, Patricia Martín-Rodilla, Charlotte Hug, Rébecca Deneckère, Camille Salinesi

Proceedings of the 9th IEEE International Conference on Research Challenges in Information Science, 2015

2014

What Shall I Do Next? - Intention Mining for Flexible Process Enactment.

Elena V. Epure, Charlotte Hug, Rébecca Deneckère, Sjaak Brinkkemper

Proceedings of the Advanced Information Systems Engineering, 2014