1.1 - 8.10 - NER Functions (CRF Model Implementation) - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Teradata Vantage
Release Number
Release Date
October 2019
Content Type
Programming Reference
Publication ID
English (United States)
Function Description
NERTrainer (ML Engine) Takes training data and outputs CRF model (binary file).
NERExtractor (ML Engine) Takes input documents and extracts specified entities, using one or more CRF models and, if appropriate, rules (regular expressions) or a dictionary.

Uses models to extract names of persons, locations, and organizations; rules to extract entities that conform to rules (such as phone numbers, times, and dates); and dictionary to extract known entities.

NEREvaluator (ML Engine) Evaluates CRF model.

The CRF model implementation supports English, simplified Chinese, and traditional Chinese text.