Abstract
The paper introduces a new annotated French data set for Sentiment Analysis, which is a currently missing resource. It focuses on the collection from Twitter of data related to the socio-political debate about the reform of the bill for wedding in France. The design of the annotation scheme is described, which extends a polarity label set by making available tags for marking target semantic areas and figurative language devices. The annotation process is presented and the disagreement discussed, in particular, in the perspective of figurative language use and in that of the semantic oriented annotation, which are open challenges for NLP systems.- Anthology ID:
- L16-1256
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 1619–1626
- Language:
- URL:
- https://aclanthology.org/L16-1256
- DOI:
- Cite (ACL):
- Cristina Bosco, Mirko Lai, Viviana Patti, and Daniela Virone. 2016. Tweeting and Being Ironic in the Debate about a Political Reform: the French Annotated Corpus TWitter-MariagePourTous. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1619–1626, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- Tweeting and Being Ironic in the Debate about a Political Reform: the French Annotated Corpus TWitter-MariagePourTous (Bosco et al., LREC 2016)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/L16-1256.pdf