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
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
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