Our technology is based on scientific research by experts in a wide range of market sectors, including psychology, AI, NLP and engineering.
De La Peña, G., & Rosso, P. (2022). Unsupervised Embeddings with Graph Auto-Encoders for Multi-domain and Multilingual Hate Speech Detection. In LREC 2022.
De La Peña, G., & Rosso, P. (2022). Convolutional Graph Neural Networks for Hate Speech Detection in Data-Poor Settings. In NLDB 2022.
Sarvazyan, A. M., González, J. A., Rosso, P., & Franco-Salvador, M. (2023). Supervised Machine-Generated Text Detectors: Family and Scale Matters. In CLEF 2023.
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