The term "text expression" is correct and can be used in written English.
It refers to a combination of words and symbols that convey a specific meaning in written or digital text, similar to how they would be spoken aloud in a sentence. Example: In this text, the author uses a variety of text expressions to convey the character's emotions, such as exclamation points and italics for emphasis.
This allows additional experiment attributes to be found that are not available from the text expression data set.
Entrez Gene (www.ncbi.nlm.nih.gov/gene) (23) offers this in a text expression interface, while FlyMine uses point and click but requires users to build up intermediary results.
A search interface using various criteria such as sophisticated text expression, amino acids motifs and other useful parameters allows the retrieving of refined subset of entries.
The EMAGE experiment data set can be linked in a single query with the EMAGE submission data set and the EMAGE text expression annotation data set if required.
In the text: "Expression of this short fragment alone was capable of rescuing fcho-1 mutants, including growth rate, and endocytosis of cargo.
This data set can be linked in a query to the EMAGE submission data set and to the EMAGE text expression data set.
Semantic text annotation enables the association of semantic information (ontology concepts) to text expressions (terms), which are readable by software agents.
Some models also propose other types of features like the occurrence of certain text expressions.
This technology to collect and utilize a massive amount of text expressions as training data is expected to form the foundation for intelligence that can adapt to a diversity of language expressions.
In any text, expressions which are used frequently are foregrounded through repetition, suggesting to the reader that the meanings they represent have greater relevance and importance than other, less frequently occurring terms and concepts.
For our frequency estimations we have used Google's N-gram dataset [26] which, with 1012 tokens, is one of the largest datasets available about real human text expressions on the Internet.
