Outputs (2)

Studying the variability of system setting effectiveness by data analytics and visualization (2019)
Presentation / Conference Contribution
Déjean, S., Mothe, J., & Ullah, M. Z. (2019, September). Studying the variability of system setting effectiveness by data analytics and visualization. Presented at Experimental IR Meets Multilinguality, Multimodality, and Interaction: 10th International Conference of the CLEF Association (CLEF 2019), Lugano, Switzerland

Search engines differ from their modules and parameters; defining the optimal system setting is challenging the more because of the complexity of a retrieval stream. The main goal of this study is to determine which are the most important system comp... Read More about Studying the variability of system setting effectiveness by data analytics and visualization.

Information nutritional label and word embedding to estimate information check-worthiness (2019)
Presentation / Conference Contribution
Lespagnol, C., Mothe, J., & Ullah, M. Z. (2019, July). Information nutritional label and word embedding to estimate information check-worthiness. Presented at 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris

Automatic fact-checking is an important challenge nowadays since anyone can write about anything and spread it in social media, no matter the information quality. In this paper, we revisit the information check-worthiness problem and propose a method... Read More about Information nutritional label and word embedding to estimate information check-worthiness.