@inproceedings{strapparava-etal-2012-parallel,
title = "A Parallel Corpus of Music and Lyrics Annotated with Emotions",
author = "Strapparava, Carlo and
Mihalcea, Rada and
Battocchi, Alberto",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/730_Paper.pdf",
pages = "2343--2346",
abstract = "In this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at line level. We first describe the corpus, consisting of 100 popular songs, each of them including a music component, provided in the MIDI format, as well as a lyrics component, made available as raw text. We then describe our work on enhancing this corpus with emotion annotations using crowdsourcing. We also present some initial experiments on emotion classification using the music and the lyrics representations of the songs, which lead to encouraging results, thus demonstrating the promise of using joint music-lyric models for song processing.",
}
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%0 Conference Proceedings
%T A Parallel Corpus of Music and Lyrics Annotated with Emotions
%A Strapparava, Carlo
%A Mihalcea, Rada
%A Battocchi, Alberto
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F strapparava-etal-2012-parallel
%X In this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at line level. We first describe the corpus, consisting of 100 popular songs, each of them including a music component, provided in the MIDI format, as well as a lyrics component, made available as raw text. We then describe our work on enhancing this corpus with emotion annotations using crowdsourcing. We also present some initial experiments on emotion classification using the music and the lyrics representations of the songs, which lead to encouraging results, thus demonstrating the promise of using joint music-lyric models for song processing.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/730_Paper.pdf
%P 2343-2346
Markdown (Informal)
[A Parallel Corpus of Music and Lyrics Annotated with Emotions](http://www.lrec-conf.org/proceedings/lrec2012/pdf/730_Paper.pdf) (Strapparava et al., LREC 2012)
ACL
- Carlo Strapparava, Rada Mihalcea, and Alberto Battocchi. 2012. A Parallel Corpus of Music and Lyrics Annotated with Emotions. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 2343–2346, Istanbul, Turkey. European Language Resources Association (ELRA).