Published April 3, 2017
| Version v1
Conference paper
Open
The SUMMA Platform Prototype
Creators
- Liepins, Renars1
- Germann, Ulrich2
- Barzdins, Guntis1
- Birch, Alexandra3
- Renals, Steve3
- Weber, Susanne4
- van der Kreeft, Peggy5
- Bourlard, Herve6
- Prieto, Joao7
- Klejch, Ondrej3
- Bell, Peter3
- Lazaridis, Alexandros6
- Mendes, Alfonso7
- Riedel, Sebastian8
- Almeida, Mariana S. C.7
- Balage, Pedro7
- Cohen, Shay B.3
- Dwojak, Tomasz3
- Garner, Philip N.6
- Giefer, Andreas5
- Junczys-Dowmunt, Marcin3
- Imran, Hina5
- Nogueira, David7
- Ali, Ahmed9
- Miranda, Sebastiao7
- Popescu-Belis, Andrei6
- Miculicich Werlen, Lesly6
- Papasarantopoulos, Nikos3
- Obamuyide, Abiola10
- Jones, Clive4
- Dalvi, Fahim9
- Vlachos, Andreas10
- Wang, Yang6
- Tong, Sibo6
- Sennrich, Rico3
- Pappas, Nikolaos6
- Narayan, Shashi3
- Damonte, Marco3
- Durrani, Nadir9
- Khurana, Sameer9
- Abdelali, Ahmed10
- Sajjad, Hassan9
- Vogel, Stephan9
- Sheppey, David4
- Hernon, Chris4
- Mitchell, Jeff8
- 1. LETA
- 2. Univerwsity of Edinburgh
- 3. University of Edinburgh
- 4. BBC
- 5. Deutsche Welle
- 6. IDIAP
- 7. Priberam
- 8. UCL
- 9. QCRI
- 10. University of Sheffield
Description
We 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.
Files
E17-3029.pdf
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