NER Functions (CRF Model Implementation) - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.10
1.1
Published
October 2019
Language
English (United States)
Last Update
2019-12-31
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B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢
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.