Abstract
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.
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CITATION STYLE
Liepins, R., Germann, U., Barzdins, G., Birch, A., Renals, S., Weber, S., … Mitchell, J. (2017). The SUMMA platform prototype. In 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Software Demonstrations (pp. 116–119). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/e17-3029
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