iTACOS at IberEval2017: Detecting Stance in Catalan and Spanish Tweets
Contributo in Atti di convegno
Data di Pubblicazione:
2017
Abstract:
In this paper we describe the iTACOS submission for the Stance and Gender Detection in Tweets on Catalan Independence shared task. Concerning the detection of stance, we ranked as the first position in both languages outperforming the baselines; while in gender detection we ranked as fourth and third for Catalan and Spanish. Our approach is based on three diverse groups of features: stylistic, structural and context-based. We introduced two novel features that exploit significant characteristics conveyed by the presence of Twitter marks and URLs. The results of our experiments are promising and will lead to future tailoring of these two features in a finer grained manner.
Tipologia CRIS:
04A-Conference paper in volume
Elenco autori:
Lai, Mirko; Cignarella, ALESSANDRA TERESA; HERNANDEZ FARIAS, DELIA IRAZU
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
Evaluation of Human Language Technologies for Iberian Languages Workshop 2017
Pubblicato in: