Systèmes du LIA à DEFT'13
Xavier Bost, Ilaria Brunetti, Luis Adrián Cabrera-Diego, Jean-Valère Cossu, Andréa Linhares, Mohamed Morchid, Juan-Manuel Torres-Moreno, Marc El-Bèze, Richard Dufour
arXiv:1702.06478v11 citations
Originality Synthesis-oriented
AI Analysis
This work addresses text mining challenges in a niche culinary domain, but it is incremental as it applies existing methods to new data without major innovations.
The paper tackled document classification and information extraction tasks in the specialized domain of cuisine recipes for the DEFT 2013 campaign, reporting interesting results despite the complexity of the tasks.
The 2013 Défi de Fouille de Textes (DEFT) campaign is interested in two types of language analysis tasks, the document classification and the information extraction in the specialized domain of cuisine recipes. We present the systems that the LIA has used in DEFT 2013. Our systems show interesting results, even though the complexity of the proposed tasks.