Sentence examples for natural language extraction from inspiring English sources

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Our approach in identifying DDIs can be described in two phases: (i) natural language extraction phase; (ii) reasoning phase.

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This conceptual framework is novel as natural language based information extraction techniques are utilized in the extraction and estimation of beliefs from diverse textual information sources, rather than assuming these estimations as already given.

Text analytics covers natural language processing (NLP), information extraction, data mining, and machine learning approaches [23].

Named entity recognition is a crucial component of biomedical natural language processing, enabling information extraction and ultimately reasoning over and knowledge discovery from text.

The main contribution of the work here described is a domain-independent process for the automatic population of ontologies from text that applies natural language processing and information extraction techniques to acquire and classify ontology instances.

Although other approaches such as natural language processing free-text extraction or utilization of over-the-counter pharmaceutical sales, number of emergency room visits, absenteeism and triage telephone calls appear to improve the timeliness of detection, no strong conclusions could be made as to the best data indicator[27], [28].

Most research on clinical natural language processing and information extraction addressed English-language documents.

Third, we sum up previous research on German-language clinical natural language processing and information extraction.

An example of automatic identification and extraction of numerical values from text is the use of natural language queries to extract drug dosage information [ 13].

The "example technologies" which the Office intends to develop include "entity extraction from natural language text," "biologically inspired algorithms for agent control," and "truth maintenance".

The English language caption was taken for feature extraction for natural language processing.

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