Sentence examples for tools to automatically identify from inspiring English sources

Recent advances have been made in the development of tools to automatically identify PVA [2, 12 15].

Rudd also attacked tech firms' use of encryption in the wake of the Westminster terror attack in March, although the first round of meetings she held with Internet companies including Facebook, Google and Twitter in the wake of that earlier attack apparently focused on pushing for them to develop tech tools to automatically identify extremist content and block it before it is widely disseminated.

Chinese Word Sketch (CWS), a language specific version of Word Sketch Engine, provides a tool to automatically identify grammatical information for Gigaword size corpora.

We sought to test the feasibility of using an informatics tool to automatically identify postoperative complications stored as free-text documents in our electronic medical record.

Google now says it's hard at work building tools to try to automatically identify extremist content.

Imaging tools were developed to automatically identify and count the seminiferous tubule cross sections in each composite image, estimate the mean radius length, scan individual tubules at greater magnification, and enable manual labeling of tubules as normal or exhibiting common abnormalities.

The Predictor block implements tool-specific algorithms to automatically identify document entities.

In this work, we use TLex [17], a Thai word segmentation tool based on CRF, to automatically identify word boundaries in tweet texts.

In addition, we present here a computational tool that is able to: automatically identify these anti-patterns in user's models, guide users in assessing their consequences, and generate corrections to these models by the automatic inclusion of OCL constraints implementing the proposed refactoring plans.

The main objective of this paper is to present a new computational tool, based on fuzzy relation, designed to automatically identify the occurrence of Spread-F in ionograms.

The tool used data from electronic patient records (EPRs) to automatically identify the population at risk (net sample), to apply eligibility criteria, to contact eligible patients, to enrol and survey at least 200 patients per practice.