Despite the undeniable presence of wrong annotations and the absence of many others, previous works have demonstrated that these corpora can support development of semi-supervised or distant supervised systems for named-entity and relationship extraction.
(2014) developed both an unsupervised and semi-supervised system for biological entity extraction (including PPIs) that uses interaction pattern clustering, dependency parsing and phrase structure to extract interactions from text.
We have applied a novel pattern recognition tool that employs an unsupervised system (self-organizing-type cluster mapping) as a fitness test for a supervised system (a genetic algorithm).
In comparison to a supervised method, our method does not require human intervention for training data preparation, feature selection or optimization, which are the essential requirements of a supervised system.
In this paper, the design of the overall architecture and the development of specific components of a supervised, automatic system for guidance of an ROV are described.
The results from this method can be used as a baseline for supervised systems.
Futhermore, comparative studies have shown the necessity of the proposed scheme as a supervised wide-area backup system for distance protection to enhance the reliability.
Since clustering is not commonly a supervised process, system improvements are necessary for reducing errors in the system.
Based on these data, we constructed a prognostic prediction system for glioblastoma patients using a supervised learning method.
In this paper, an accommodation procedure for the supervised control system is presented.
This includes the €20m Talos project, which will develop and field test "a mobile, modular, scalable, autonomous and adaptive system for protecting European borders" using "aerial and ground unmanned vehicles, supervised by a command and control centre".
