Abstract: We present an online multilingual system for event detection and comprehension from media feeds. The system retrieves information from news sites, aggregates them into events (event detection), and summarizes them by extracting semantic labels of its most relevant entities (event representation) in order to answer the journalism Ws: who, what, when and where. The generated events populate VLX-Stories -an event ontology- transforming unstructured text data to a structured knowledge base representation. Our system exploits an external entity Knowledge Graph (VKG) to help populate VLX-Stories. At the same time, this external knowledge graph can also be extended with a Dynamic Entity Linking (DEL) module, which detects emerging entities (EE) on unstructured data.

Vilynx is working with the largest media and publisher companies in the US and Europe to drive their growth and change the way the data is being understood. We are developing leading edge AI and Machine Learning technologies that help drive customer engagement and brand loyalty. You would be joining a young team with of some of the top talent in areas like machine learning, deep learning, computer vision, natural language processing and analytics. We are building a rocking front-end team, capable of doing such things like a single plugin that modifies the DOM of thousands of pages, and brokes nothing, working with the latest stable technologies such ES6 and Typescript. We are looking for people capable of pushing his own limits, that fears nothing and embrace the unknown.