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By analyzing use case narratives utilizing natural language processing techniques and applying collaboration patterns and heuristics, this methodology can determine missing and invalid model elements to guide the analyst in creating object models that are consistent with the requirements specified in a set of use case narratives.
Finally, it may be possible to refine the relevance score by utilizing natural language processing algorithms in ascertaining the relation between words.
This article reports on a comprehensive study on resolving the ambiguity in mentions of biomedical named entities with respect to model organisms and presents an array of approaches, with focus on methods utilizing natural language parsers.
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Computers are beginning to understand natural language.
What is natural language recognition?
Where is natural language understanding?
The most flexible query language is of course natural language.
(iii) Semantics of natural language.
For instance, diagnosis, natural language interpretation and plan recognition.
This then has potential applications to natural language generation systems.
These include natural language processing, language education, and cognitive linguistics.
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