no code implementations • LREC 2022 • Valerio Basile, Cristina Bosco, Michael Fell, Viviana Patti, Rossella Varvara
The European Language Grid enables researchers and practitioners to easily distribute and use NLP resources and models, such as corpora and classifiers.
no code implementations • ACL (BPPF) 2021 • Valerio Basile, Michael Fell, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio, Alexandra Uma
Instead, we suggest that we need to better capture the sources of disagreement to improve today’s evaluation practice.
no code implementations • 9 Sep 2021 • Valerio Basile, Federico Cabitza, Andrea Campagner, Michael Fell
Most Artificial Intelligence applications are based on supervised machine learning (ML), which ultimately grounds on manually annotated data.
2 code implementations • LREC 2020 • Michael Fell, Elena Cabrio, Elmahdi Korfed, Michel Buffa, Fabien Gandon
We present the WASABI Song Corpus, a large corpus of songs enriched with metadata extracted from music databases on the Web, and resulting from the processing of song lyrics and from audio analysis.
no code implementations • RANLP 2019 • Michael Fell, Elena Cabrio, Michele Corazza, G, Fabien on
The Parental Advisory Label (PAL) is a warning label that is placed on audio recordings in recognition of profanity or inappropriate references, with the intention of alerting parents of material potentially unsuitable for children.
no code implementations • RANLP 2019 • Michael Fell, Elena Cabrio, G, Fabien on, Alain Giboin
Given the peculiar structure of songs, applying generic text summarization methods to lyrics can lead to the generation of highly redundant and incoherent text.
1 code implementation • COLING 2018 • Michael Fell, Yaroslav Nechaev, Elena Cabrio, G, Fabien on
Lyrics contain repeated patterns that are correlated with the repetitions found in the music they accompany.