2017
EACL
EACL 2017
The SUMMA Platform Prototype
Abstract
AbstractWe present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring. The platform contains a rich suite of low-level and high-level natural language processing technologies: automatic speech recognition of broadcast media, machine translation, automated tagging and classification of named entities, semantic parsing to detect relationships between entities, and automatic construction / augmentation of factual knowledge bases. Implemented on the Docker platform, it can easily be deployed, customised, and scaled to large volumes of incoming media streams.
👥
Mega-Team
- 46 authors
🌉
Interdisciplinary Bridge
- Natural Language Processing and Speech & Audio
🧭
Keyword Pioneer
- knowledge base construction
Authors
Renārs Liepins,
Ulrich Germann,
Guntis Barzdins,
Alexandra Birch,
Steve Renals,
Susanne Weber,
Peggy van der Kreeft,
Hervé Bourlard,
João Prieto,
Ondrej Klejch,
Peter Bell,
Alexandros Lazaridis,
Alfonso Mendes,
Sebastian Riedel,
Mariana S. C. Almeida,
Pedro Balage,
Shay B. Cohen,
Tomasz Dwojak,
Philip N. Garner,
Andreas Giefer,
Marcin Junczys-Dowmunt,
Hina Imran,
David Nogueira,
Ahmed Ali,
Sebastião Miranda,
Andrei Popescu-Belis,
Lesly Miculicich Werlen,
Nikos Papasarantopoulos,
Abiola Obamuyide,
Clive Jones,
Fahim Dalvi,
Andreas Vlachos,
Yang Wang,
Sibo Tong,
Rico Sennrich,
Nikolaos Pappas,
Shashi Narayan,
Marco Damonte,
Nadir Durrani,
Sameer Khurana,
Ahmed Abdelali,
Hassan Sajjad,
Stephan Vogel,
David Sheppey,
Chris Hernon,
Jeff Mitchell