Solr Normalization Demo
Solr Normalization Demo
Historical Media Analysis and Enrichment
Impresso - Media Monitoring of the Past is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment, representation, exploration and study of historical media across modalities, temporal, linguistic, and national borders. We develop the 🚀 Impresso Web App and the 🔬 Impresso Datalab (coming soon), providing search, exploratory analysis, and programmatic access to an unprecedented corpus of multilingual historical newspapers and radio broadcasts collections. Our work sits at the intersection of Natural Language Processing, Design, and History.
We share:
Impresso gratefully acknowledges the continued support of its cultural heritage 🏛️ partners as well as funding from the SNSF (Grant No. CRSII5_173719 and CRSII5_213585) and the FNR (Grant No. 17498891).
Solr Normalization Demo
Multilingual News Agency Detection in Historical Data
Multilingual Named Entity Recognition in Historical Data
Multilingual Entity Linking for Historical Data