Sentence examples for knowledge text from inspiring English sources

To the best of our knowledge, text classification using character-level representations and deep neural networks has been previously investigated by only one research group [1], and we are the first to propose a more compact character embedding and to investigate its implications on neural network design.

The interactions include direct (physical) and indirect (functional) associations derived from genomic context, high-throughput experiments, coexpression, and previous knowledge (text mining) (Franceschini et al. 2013).

Although powerful in their ability to make a very effective usage of the available knowledge, text mining approaches show a strong bias toward the identification of straightforward candidates for which abundant knowledge is already available [14].

Continued patient-practitioner contact, on site or by email, has been associated with weight loss, 36 but to our knowledge text messaging has not been tested previously in this context.

There were four courses, two for each level of previous knowledge (high or low previous knowledge texts), to counterbalance presentation order.

A survey of CAM practitioners (including 68 N/HMPs) attitudes and use of evidence in Australia found that published clinical evidence ranked fourth in information source preference with traditional knowledge, texts and clinical practice guidelines being given priority.

"Just having knowledge in text form and online, divorced from those connections, is a bit strange," he said.

Unsupervised Information Extraction (UIE) is the task of extracting knowledge from text without the use of hand-labeled training examples.

"The knowledge and text retrieval business became commoditized, and the content end shot up like a bat out of hell.

Based on the co-occurrence data, the correlative principle was introduced to transfer knowledge from text to images by Qi et al. [16].

Our strategy combines the VSM ability to extract knowledge from text along with some underlining principles of literature-based discovery [ 11].