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Pluralistic Recommendation in News - Report
Report on the Humane-AI microproject "Pluralistic Recommendation in News". It contains details on how the two relevant datasets were built, a link to the two, and details...-
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Studying the streaming of the Capitol Raid
This experiment is part the project "Streams of conspiratorial folklore" that investigates online media as a stream of performances, rather than as archives of documents. Our... -
Rhythm management in video streaming channels
This experiment is part the project "Streams of conspiratorial folklore" that investigates online media as a stream of performances, rather than as archives of documents. Our... -
Multi-flow Composition in video streaming channels
This experiment is part the project "Streams of conspiratorial folklore" that investigates online media as a stream of performances, rather than as archives of documents. Our... -
WAT
WAT is an entity linker, namely a tool that identifies meaningful substrings (called "spots") in an unstructured English text and link each of them to the unambiguous entity...-
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TagMe
TAGME identifies meaningful sequences of terms in an unstructured text and links them to the Wikipedia page describing the mentioned entity, in a fast and effective way. This...-
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SWAT
SWAT is a entity-salience system which identifies on-the-fly the semantic focus of a document, expressed by its Salient Wikipedia Entities. The core of this technology is... -
NervousNet
The planetary nervous system is a large-scale distributed research platform that provides real-time social sensing services as a public good. Existing Big Data systems...-
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Gate Cloud
This is the new improved version of the GATE Cloud platform originally launched in 2011 to provide end-to-end text processing solutions from the GATE family running on cloud...-
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Twitter Monitor
The Twitter Monitor is an interactive Web application designed to access the Twitter stream by exploiting the public Twitter Streaming APIs. The application can manage...-
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SMAPH Query Entity Linker
The SMAPH system links queries to the entities it mentions, disambiguating mentions if needed. Entities are Wikipedia pages. This problem is known as "entity recognition and...-
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