In 2015, we introduced a novel knowledge extraction framework called the Distiller Framework, with the goal of offering the research community a flexible, multilingual information extraction framework. Two years later, the project has significantly evolved, by supporting more languages and many machine learning algorithms. In this paper we present the current design of the framework and some of its applications.
The distiller framework: Current state and future challenges
Marco Basaldella;Giuseppe Serra;Carlo Tasso
2018-01-01
Abstract
In 2015, we introduced a novel knowledge extraction framework called the Distiller Framework, with the goal of offering the research community a flexible, multilingual information extraction framework. Two years later, the project has significantly evolved, by supporting more languages and many machine learning algorithms. In this paper we present the current design of the framework and some of its applications.File in questo prodotto:
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