This may not be representative of a real-world task with only 75 highly topic-related abstracts used as testing set.
When it was applied to a real-world task of annotating mentions of any human gene in cancer trials, the two-stage classifier achieved a highest accuracy of 89.8%.
In addition, we applied the classifier to a real-world task of cancer trial annotation and evaluated its performance using a larger sample size (4,013 instances from 249 distinct human gene symbols detected from 250 trials).
In this paper we present the European Kitchen, a real-world task-based environment for cooking and language learning.
Typical "resolution" phantoms rely on high contrast objects whereas the "real world" task is to detect relatively lower contrast objects.
The MMTA seeks to extract salient multi-modal cues from instances of real world task performance, but also for existing training systems.
In the real world, task switching is more complex than in the laboratory, with more flexibility in how a person chooses to allocate their resources during tasks, decides to allocate priority to tasks, and opts to begin, continue, and end tasks.
In real world tasks such as recalling an object at home to match the color of an object at the store, color matches across contexts are often made after much longer delays.
The problem is described rather opaquely as P vs. NP, and it has to do with real world tasks like optimizing the layout of transistors on a computer chip or cracking computer codes.
We propose that as well as more traditional exercises, everyday real world tasks can be augmented by technology in an almost invisible way to engage users in learning by doing which goes beyond the word level.
While these results are somewhat preliminary, they clearly demonstrate the applicability of our approach to real world tasks involving feature-based non-rigid registration.
