Stanford corenlp--named entities Recognizer (NER)

Standford Named entities Recognizer (NER), named entity recognition is a subtask of information extraction (information Extraction), which locates and classifies the atomic elements of the text (Atomic element). Then output to a fixed-format directory, such as: Person name, organization, location, time representation, quantity, currency value, percentage, and so on. Official website (http://nlp.stanford.edu/ner/)

The NER contains the following model:

• 3 class model:location, person, Organization
• 4 class model:location, person, Organization, Misc
• 7 class Model:time, location, Organization, person, money, Percent, Date

Run:

In the Eclipse STANFORD-CORENLP project, under the package Edu.stanford.nlp.ie.demo there are Nerdemo classes, right click Run Run, the output is as follows, with 3class model, So the Location,person and organization are marked, and if other annotations are required, the class model can be changed.

Stanford corenlp--named entities Recognizer (NER)