Sentence examples for text identification from inspiring English sources

WhitePages Current, a free caller and text identification application for Android users, has been updated today to counter the plague that is the "one ring scam".

This may be assisted in the future by using web-based technologies that allow automated text identification for essential elements [ 39].

Many high efficient tools were developed for recognition of named entity such as protein and gene names in free text, identification of subcellular localization of proteins, extraction of interaction of proteins, and association of genes according to functional concepts such as gene ontology and MeSH terms [ 10– 16].

However, they also proved that this is not sufficient: there are very small finite classes of languages that are not identifiable from text, so it is logically possible for text-identification to be impossible even given only a finite number of languages (grammars).

The first phase of the evaluation campaign [63] comprised tasks including document (letters and fax) layout analysis, handwriting recognition (isolated characters, words and blocks of text), writer identification (on words and paragraphs), writer verification, logo recognition and identification of scenario from letters.

In the main text: after identification of v-eQTL "to search for epistasis we scanned the cis windows for a second variant statistically interacting with each of the peak v-eQTL".

The questionnaire will include items that address the acceptability of repeated text messages, identification of which messages participants remembered, liked or disliked, what they did with messages (eg, kept them or deleted them immediately), their perceived utility of the text message and their opinion regarding the intrusiveness, timing and content suitability of the text messages.

44 The analytical process occurred in six stages: 1) transcription of the interview, 2) open independent reading of all materials to gain an overall impression of the text, 3) identification of meaning units, 4) categorization, 5) abstracting two subthemes and theme, and 6) reflection and discussion.

This review will inform our evaluation of existing de-identification methods and the development of a best-of-breed automatic clinical text de-identification system in the context of the Department of Veteran's Affairs CHIR and VINCI projects.

We selected five clinical text de-identification tools and evaluated them to assess the performance of current text de-identification methods with VHA clinical documents.

The "out-of-the-box" evaluation of text de-identification systems provided us with compelling insight about the best methods for de-identification of VHA clinical documents.