SUMMA (Scalable Understanding of Multilingual MediA) is a Horizon 2020 Research and Innovation Action project, running from 1 February 2016 to 31 January 2019, with the objective to provide a media monitoring platform capable of dealing with large volumes of data across many languages and different media types.
The aim of SUMMA is to significantly improve media monitoring by creating a platform to automate the analysis of media streams across many languages, to aggregate and distil the content, to automatically create rich knowledge bases, and to provide visualizations to cope with this deluge of data. Achieving these aims will require advancing the state of the art in a number of technologies: multilingual stream processing including speech recognition, machine translation, and story identification; entity and relation extraction; natural language understanding including deep semantic parsing, summarization, and sentiment detection; and rich visualizations based on multiple views and dealing with many data streams.
In this consortium with 8 other players, Priberam is responsible to provide natural language technologies to improve the state-of-art in tasks like story clustering, entity extraction, automatically knowledge base construction, semantic parsing, summarization, sentiment identification and others.