sbx-eng-namedentity-stanza

Named entity recognition (NER) enables the detection of named entities (e.g. personal names, organizations, geographical locations) in the text.

This analysis is used with Sparv. Check out Sparv's quick start guide to get started!

To use this analysis, add the following lines under export.annotations in the Sparv corpus configuration file:

- stanza.ne  # Named entity segments from Stanza
- stanza.ne:stanza.ne_type  # Named entitiy types from Stanza

In order to use this annotation you need to add the following setting to your Sparv corpus configuration file:

metadata:
  language: eng

For more info on how to use Sparv, check out the Sparv documentation.

Example output:

<token>The</token>
<ne ne_type="NORP">
  <token>Swedish</token>
</ne>
<token>chemist</token>
<ne ne_type="PERSON">
  <token>Alfred</token>
  <token>Bernhard</token>
  <token>Nobel</token>
</ne>
<token>was</token>
<token>born</token>
<token>on</token>
<ne ne_type="DATE">
  <token>21</token>
  <token>October</token>
  <token>1833</token>
</ne>
<token>in</token>
<ne ne_type="GPE">
  <token>Stockholm</token>
</ne>
<token>.</token>