- TextColumn
- Specifies the name of the input table column that contains the text to analyze.
- Models
- [Optional] Specifies the CRF models (binary files) to use, generated by NERTrainer. If you specified the ExtractorJAR argument
in the NERTrainer call that generated model_file, then you must specify the same jar_file in this argument. You must install
model_file and jar_file in Aster Database under the user
search path before calling the NER function.The names model_file and jar_file are case-sensitive.
- Language
- [Optional] Specifies the language of the input text:
- 'en': English (Default)
- 'zh_CN': Simplified Chinese
- 'zh_TW': Traditional Chinese
- ShowEntityContext
- [Optional] Specifies the number of context words to output. If context_words is n (which must be a positive integer), the function outputs the n words that precede the entity, the entity, and the n words that follow the entity. Default: 0.
- Accumulate
- [Optional] Specifies the names of the input table columns to copy to the output table.