@inproceedings{germann-etal-2018-summa,
    title = "The {SUMMA} Platform: A Scalable Infrastructure for Multi-lingual Multi-media Monitoring",
    author = "Germann, Ulrich  and
      Liepins, Ren{\=a}rs  and
      Barzdins, Guntis  and
      Gosko, Didzis  and
      Miranda, Sebasti{\~a}o  and
      Nogueira, David",
    booktitle = "Proceedings of {ACL} 2018, System Demonstrations",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P18-4017",
    doi = "10.18653/v1/P18-4017",
    pages = "99--104",
    abstract = "The open-source SUMMA Platform is a highly scalable distributed architecture for monitoring a large number of media broadcasts in parallel, with a lag behind actual broadcast time of at most a few minutes. The Platform offers a fully automated media ingestion pipeline capable of recording live broadcasts, detection and transcription of spoken content, translation of all text (original or transcribed) into English, recognition and linking of Named Entities, topic detection, clustering and cross-lingual multi-document summarization of related media items, and last but not least, extraction and storage of factual claims in these news items. Browser-based graphical user interfaces provide humans with aggregated information as well as structured access to individual news items stored in the Platform{'}s database. This paper describes the intended use cases and provides an overview over the system{'}s implementation.",
}